Robotics & Automation
Robotics & Automation news — Tuesday 27 October 2026
150 stories from 3 sources, every one in English. Each links to its publisher.
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ANYbotics begins delivering ANYmal X legged robot for explosive atmospheres
The Robot Report
ANYmal X is certified to operate in hazardous atmospheres. Source: ANYbotics Hazardous environments are good use cases for robots, which are expanding into new use cases. ANYbotics AG today launched ANYmal X, which it claimed is “the…
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Embotech and BMW move 1M vehicles with automated driving technology
Robotics Business Review
A MINI autonomously rolls off a U.K. production line using Embotech technology. Source: BMW Group As vehicles come off the production line, human drivers typically need to get into each one to drive them to be parked or loaded onto trucks…
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Xpanner launches autonomous pile driver for solar farm contruction
Robotics Business Review
The Xpanner X1 Piling R6 is an automated pile-driving system for utility-scale solar and battery energy storage sites. | Credit: Xpanner Xpanner today announced the X1 Piling R6, a fully automated pile-driving robot built to autonomously…
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Continuous-Time Safe Planning and Control for Agile Quadrupeds
arXiv cs.RO (Robotics)
arXiv:2610.35670v1 Announce Type: new Abstract: Agile quadruped navigation in dynamic environments demands trajectories that are both dynamically feasible and provably collision-free. Most real-time planners achieve tractability through a…
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RoboLongR: Causally Consistent Rewards Teach Robots to Progressively Master Long-Horizon Manipulation
arXiv cs.RO (Robotics)
arXiv:2610.33863v1 Announce Type: new Abstract: Long-horizon manipulation requires actions whose validity depends on earlier interactions, yet visual progress can conceal missing task prerequisites. We propose RoboLongR, an…
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Zero-HLM: Generalizable Humanoid Loco-Manipulation without Real Robot Data
arXiv cs.RO (Robotics)
arXiv:2610.35075v1 Announce Type: new Abstract: Learning generalizable humanoid loco-manipulation remains bottlenecked by costly real-world demonstrations. Simulation provides a scalable alternative, but requires visually faithful…
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FlatVPR: Plug-and-play Geo-linear Residual Adapter for Geometric Rectification of Foundation Model Feature Manifolds
arXiv cs.RO (Robotics)
arXiv:2606.01734v3 Announce Type: replace-cross Abstract: This paper proposes ``FlatVPR,'' a novel geometric rectification paradigm that effectively bridges the trade-off between map lightweightness and localization accuracy in visual…
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Bracketing Shows the Way: Adaptive Multi-Exposure Policy as Input for Robust Visual SLAM
arXiv cs.RO (Robotics)
arXiv:2610.33174v1 Announce Type: new Abstract: Rapid illumination transitions can disturb Visual SLAM (VSLAM) by saturating images before the Automatic Exposure (AE) policy adapts, removing the visual correspondences needed to maintain…
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A Shared Control Framework for Mobile Robots with Planning-Level Intention Prediction
arXiv cs.RO (Robotics)
arXiv:2511.08912v2 Announce Type: replace Abstract: In mobile robot shared control, effectively understanding human motion intention is critical for seamless human-robot collaboration. This paper presents a novel shared control framework…
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LaWAM: Latent World Action Models for Efficient Dynamics-Aware Robot Policies
arXiv cs.RO (Robotics)
arXiv:2606.15768v2 Announce Type: replace Abstract: Vision-Language-Action models (VLAs) leverage large-scale vision-language pretraining for semantic robot control, but often lack explicit foresight into how robot actions change the…
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Robot Learning with Vision-Language-Action Models for Agricultural Manipulation
arXiv cs.RO (Robotics)
arXiv:2610.26717v2 Announce Type: replace Abstract: Robotic manipulation in agricultural environments remains challenging due to variations in plant geometry, occlusion, and camera viewpoints. Pretrained vision-language-action (VLA) and…
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Active Reachability Learning for Humanoid Recoverability Monitoring
arXiv cs.RO (Robotics)
arXiv:2610.33317v1 Announce Type: new Abstract: Deploying humanoid task policies requires reliable runtime monitors that anticipate unrecoverable falls in time to trigger a fallback. We formulate this task as learning the stochastic…
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The Language of Deformation: Semantic Failure Analysis as a Prerequisite for Dexterous Manipulation of Deformable Objects
arXiv cs.RO (Robotics)
arXiv:2610.35103v1 Announce Type: new Abstract: Dexterous manipulation of rigid objects has reached a level of maturity where grasp stability, control, and planning strategies are successfully applied in industry and logistics. In…
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Dream to Assist: Intent-Conditioned World Models for Shared Vehicle Control
arXiv cs.RO (Robotics)
arXiv:2610.34650v1 Announce Type: new Abstract: Assistive agents in shared-control settings face a dual challenge: acting proactively to align with the human's intentions while remaining legible enough for the human to comprehend and…
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MOTIO: Agentic Skill Engineering for Reality-Grounded Humanoid Loco-Manipulation
arXiv cs.RO (Robotics)
arXiv:2610.33446v1 Announce Type: new Abstract: We present MOTIO, an agentic skill-engineering system that turns ordinary human-action videos, reality-grounded 3D assets, motion references, and reusable robot skills into executable…
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A Differentiable Chassis Safety Layer for Intelligent Vehicle Motion Control
arXiv cs.RO (Robotics)
arXiv:2610.33476v1 Announce Type: new Abstract: Learning-based vehicle motion control requires coordination between diverse task objectives and state-dependent chassis safety constraints. Conventional cascaded architectures may compromise…
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Preemptive Instruction Following with Resumption
arXiv cs.RO (Robotics)
arXiv:2610.35576v1 Announce Type: new Abstract: Long-horizon embodied navigation may be interrupted by a higher-priority instruction before the current task sequence is complete. The agent must finish its current atomic task, execute the…
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Profiling a Frontier Agent with EBench: From Direct Control to Harness with Policy
arXiv cs.RO (Robotics)
arXiv:2610.35832v1 Announce Type: new Abstract: Frontier multimodal large language models (MLLMs) can control robots without robot-specific training, but how their capabilities compare and interact with post-trained vision-language-action…
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Uncertainty Evaluation to Support Safety of the Intended Functionality Analysis for Determining the Applicability of Performance Targets Across Triggering Conditions in ML-Based LiDAR Object Detection
arXiv cs.RO (Robotics)
arXiv:2610.35092v1 Announce Type: cross Abstract: For safety of the intended functionality (SOTIF) analysis according to ISO 21448, a machine learning object detector for light detection and ranging (LiDAR) point clouds can meet a…
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Floor Friction Assessment from Robot Tire-Surface Interaction
arXiv cs.RO (Robotics)
arXiv:2610.33735v1 Announce Type: new Abstract: Floor traction influences wheel-slip behavior, dead-reckoning accuracy, and the navigation performance of wheeled mobile robots that rely on wheel odometry. As these robots become…
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ThinkLocoManip: A Whole-Body Control Agentic Harness for Legged Loco-Manipulation
arXiv cs.RO (Robotics)
arXiv:2610.34370v1 Announce Type: new Abstract: In this paper, we propose ThinkLocoManip, an agentic harness for legged loco-manipulation designed to tackle complex, long-horizon tasks in large-scale environments. Existing approaches…
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Crazyflow: An Accurate, GPU-Accelerated, Differentiable Drone Simulator in JAX
arXiv cs.RO (Robotics)
arXiv:2606.01478v3 Announce Type: replace Abstract: High-quality, large-scale synthetic data from simulations is becoming a cornerstone for pushing robots' capabilities. While aerial robotics simulators have evolved to support specialized…
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Tiny Recursive Policy: Recursive Latent Refinement for Visuomotor Control
arXiv cs.RO (Robotics)
arXiv:2610.33288v1 Announce Type: new Abstract: Behaviour cloning has become a powerful approach for robotic manipulation, but many modern policies reconstruct their internal representation from a fixed observation window at each…
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SCET-CBF: Speed-Calibrated Soft Guidance for One-Step Dynamic Navigation
arXiv cs.RO (Robotics)
arXiv:2610.33471v1 Announce Type: new Abstract: Control barrier functions (CBFs) support collision avoidance, yet dense dynamic encounters can leave a vehicle with no feasible command. Geometric refinements and soft constraints help…
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Real-Time Human Trajectory Prediction from RGB-D for Mobile Robots Using Bi-Mamba
arXiv cs.RO (Robotics)
arXiv:2610.33916v1 Announce Type: new Abstract: Predicting the short-term future trajectory of a person from RGB-D cameras is a key capability for mobile robots navigating in dynamic and human populated environment. The key challenge to…
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Enhancing Deep Reinforcement Learning for Robotic Motion Planning via Task Decomposition
arXiv cs.RO (Robotics)
arXiv:2610.35494v1 Announce Type: new Abstract: Training robotic manipulation policies in simulation is widely adopted due to safety and cost efficiency; however, tasks involving obstacles remain under-performing and often converge slowly…
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AutoWorld: Learning Multi-Agent Traffic Simulation with Self-Supervised World Models
arXiv cs.RO (Robotics)
arXiv:2603.28963v3 Announce Type: replace Abstract: Simulation with realistic traffic agents is essential for validating autonomous driving systems. Existing data-driven simulators learn agent behavior from higher-level abstractions such…
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RigidDriveGS: Object-Centric Vehicle Reconstruction from Fixed Multi-Camera Drive-Through Captures
arXiv cs.RO (Robotics)
arXiv:2603.26638v2 Announce Type: replace-cross Abstract: High-fidelity 3D reconstruction of vehicle exteriors improves buyer confidence in online automotive marketplaces, but fixed multi-camera drive-through capture departs from standard…
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PRISM: PRior-guided Imagination Sampling in world Models
arXiv cs.RO (Robotics)
arXiv:2606.07974v2 Announce Type: replace Abstract: Latent world models learn representations that enable them to predict how actions change the environment - a capability we call physical intuition. We find that these same representations…
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Learning Action-Conditional and Object-Centric Gaussian Splatting World Models for Rigid Objects
arXiv cs.RO (Robotics)
arXiv:2606.01950v2 Announce Type: replace Abstract: World models enable intelligent agents to predict the consequences of their actions on the environment. In this paper, we propose Multi Rigid Object Gaussian World Model (MRO-GWM), a…
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How High Can GPT-6 Astra Climb in Contact-Rich Manipulation? PhysLadder: A Hierarchical, Matched Sim-Real Benchmark for Physical Interaction
arXiv cs.RO (Robotics)
arXiv:2610.34527v1 Announce Type: new Abstract: We introduce PhysLadder, a hierarchical Sim-Real benchmark for evaluating physical interaction capabilities in contact-rich manipulation. Its 16 household tasks span three cumulative levels…
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RetroNav: Scene-Grounded Retrospection and Retry for Self-Evolving Lifelong Navigation
arXiv cs.RO (Robotics)
arXiv:2610.35172v1 Announce Type: new Abstract: Existing robot navigation methods primarily focus on isolated tasks, overlooking the need to accumulate knowledge and experience across repeated navigation episodes. Although recent lifelong…
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Reward-Guided RRT* for Budgeted Task and Motion Planning
arXiv cs.RO (Robotics)
arXiv:2610.35289v1 Announce Type: new Abstract: Robotic missions involving spatially distributed tasks often require jointly selecting rewarding locations and planning feasible motions under limited travel budgets. This paper proposes…
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RoKON: Efficient and Adaptive Data-Enabled Predictive Control for Robotic Manipulation
arXiv cs.RO (Robotics)
arXiv:2610.35458v1 Announce Type: new Abstract: Data-enabled predictive control has recently emerged as a promising control paradigm, enabling a transparent optimal-control formulation without the need to learn an explicit dynamics model…
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Prepare to Turn: Learning Anticipatory Maneuvering for Fast Sequential Quadrupedal Navigation
arXiv cs.RO (Robotics)
arXiv:2603.12842v3 Announce Type: replace Abstract: Fast quadrupedal navigation requires preparing for the next turn while approaching the current goal. Policies trained to reach and remain at a single target can instead produce…
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LLM-Guided Future Hypotheses for Horizon-Aware Exploration in Multi-Step Robot Manipulation
arXiv cs.RO (Robotics)
arXiv:2605.29864v2 Announce Type: replace Abstract: Multi-step robot manipulation requires acting under uncertainty about how the scene will evolve, making exploration and policy adaptation challenging. We study whether short-horizon…
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Neuromorphic Decision Dynamics for Deadlock-free Safe Navigation in Congested Environments
arXiv cs.RO (Robotics)
arXiv:2610.33271v1 Announce Type: new Abstract: Safe navigation in congested environments requires both collision avoidance and coordinated passage. We introduce neuromorphic decision dynamics (NDD), a decentralized, event-based…
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Multimodal Socially Aware Framework for Human-Robot Interaction in Virtual Reality
arXiv cs.RO (Robotics)
arXiv:2610.34534v1 Announce Type: new Abstract: Social robots must coordinate speech and movement while interpreting multimodal human input. We present a multimodal framework that integrates speech, vision, and touch to generate…
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AffordSim: A Scalable Data Generator and Benchmark for Affordance-Aware Robotic Manipulation
arXiv cs.RO (Robotics)
arXiv:2604.11674v3 Announce Type: replace Abstract: Many everyday robot manipulation skills are affordance-dependent, with success determined by whether the robot contacts the functional object region required by the subsequent action…
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MimicAll: Structured Embodiment Conditioning for Cross-Humanoid Whole-Body Motion Tracking
arXiv cs.RO (Robotics)
arXiv:2610.33508v1 Announce Type: new Abstract: Humanoid motion trackers reproduce diverse behaviors, but sharing a policy across bodies requires accounting for differences in structure, morphology and dynamics. We present MimicAll, a…
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Scaling Dexterous Manipulation via Action Representation Pretraining
arXiv cs.RO (Robotics)
arXiv:2610.34453v1 Announce Type: new Abstract: Large-scale vision, language, and video pretraining has substantially improved the perception and generalization capabilities of robotic manipulation models, but action generation for complex…
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VLA-HWBench: Where the Time Goes When VLA Models Run on Edge Hardware
arXiv cs.RO (Robotics)
arXiv:2610.34717v1 Announce Type: new Abstract: Vision--language--action (VLA) models increasingly run on edge devices aboard robots, where inference latency constrains closed-loop robot control. However, it remains unclear how to design…
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Physics-Informed and Data-Driven Composite Disturbance Separation and Predictive Control for Airborne Electro-Optical Gimbals with Multiple Constraints
arXiv cs.RO (Robotics)
arXiv:2610.34849v1 Announce Type: new Abstract: This paper studies the constrained pointing control problem of airborne electro-optical gimbals subjected to composite periodic and aperiodic disturbances. Under carrier vibration, input…
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RoboGene: Diversity-Driven Agentic Task Generation Framework for VLA Pre-training
arXiv cs.RO (Robotics)
arXiv:2602.16444v3 Announce Type: replace Abstract: The pursuit of general-purpose robotic manipulation is hindered by the scarcity of diverse, real-world interaction data. Unlike large-scale web vision-language data, robotic data…
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ArrayTac: A Closed-Loop Piezoelectric Tactile Platform for Continuously Tunable Rendering of Shape, Stiffness, and Friction
arXiv cs.RO (Robotics)
arXiv:2603.13829v3 Announce Type: replace Abstract: Human touch depends on the integration of shape, stiffness, and friction, yet existing tactile displays cannot render these cues together as continuously tunable, high-fidelity signals…
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ZiMPedance: Impedance-Aware ZMP Modeling and Control for Payload Carrying with Quadruped Robots
arXiv cs.RO (Robotics)
arXiv:2606.18883v2 Announce Type: replace Abstract: Load transportation with quadruped robots is strongly affected by the dynamics of the physical interface between the robot and the load. Passive spring-based arms provide a lightweight…
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Geometry-Aware Epipolar Correspondence Graphs for Monocular Visual Odometry
arXiv cs.RO (Robotics)
arXiv:2604.04554v3 Announce Type: replace-cross Abstract: We demonstrate Graph Representation Learning to address challenges that arise in visual odometry. In this context, the change in pose of a camera is typically estimated using…
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Quantum Closed Loop Inverse Kinematics Through Hilbert-Space Encoding of Robot Kinematics
arXiv cs.RO (Robotics)
arXiv:2610.33715v1 Announce Type: new Abstract: The integration of quantum computing into robotics requires mathematical representations that preserve the geometric structure and configuration dependence of robot motion. This paper…
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Context-Aware Generation and Modulation of Expressive Motion Behavior using Multimodal Foundation Models
arXiv cs.RO (Robotics)
arXiv:2610.35615v1 Announce Type: new Abstract: Expressive robot motion positively impacts human-robot interaction by improving user engagement, likability, or task performance. We present a novel approach to automatically generate and…
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MPPI-based Informative Trajectory Planning for Search and Capture of Drifting Targets with ASVs
arXiv cs.RO (Robotics)
arXiv:2606.12019v2 Announce Type: replace Abstract: Autonomous surface vehicles (ASVs) offer an efficient solution for environmental cleanup as well as search and rescue operations in open waters. Targets in these settings drift…
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MDPO: Multi-constraint Dexterous Policy Optimization with Reinforcement Learning
arXiv cs.RO (Robotics)
arXiv:2610.33480v1 Announce Type: new Abstract: Dexterous manipulation requires high-dimensional control policies to accomplish complex contact-rich tasks while simultaneously satisfying multiple safety requirements, such as joint limits…
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Learning Functional Specialisation for Bimanual Robotic Control
arXiv cs.RO (Robotics)
arXiv:2610.33947v1 Announce Type: new Abstract: Bimanual robotic control requires simultaneous management of distinct functional demands under motor noise, energetic costs, and communication delays. We investigate how learning…
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One Scan is Enough: Demonstration-Free Adaptation for Language-Guided Navigation
arXiv cs.RO (Robotics)
arXiv:2610.33794v1 Announce Type: new Abstract: Deploying a language-guided navigation policy in a new building usually means watching it fail. Public-benchmark VLAs degrade scene by scene as layout, appearance, and language drift, and the…
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AuRA: From Atoms to Bits through Autonomous Robot Interaction
arXiv cs.RO (Robotics)
arXiv:2610.34452v1 Announce Type: new Abstract: Simulation enables robot-learning experiments at scale, but acquiring physics-informed digital twins often requires human manipulation and manual annotation of recorded interactions. To…
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Benchmarking Obstacle-Conditioned Safety in Household Robot Navigation
arXiv cs.RO (Robotics)
arXiv:2610.34674v1 Announce Type: new Abstract: Safe household navigation requires robots to regulate clearance and speed according to what an obstacle is and how close it is, without unnecessary conservatism. Yet existing evaluations do…
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Quantile-Based Command-Reserve MPC for Current-Command Gimbal Pointing
arXiv cs.RO (Robotics)
arXiv:2610.34913v1 Announce Type: new Abstract: This paper studies the constrained line-of-sight pointing control problem of a two-axis current-command gimbal subjected to mismatched mechanical disturbances. Friction, torque ripple…
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CLARO: Clutter Aware Robot Orchestrator for Open-Vocabulary Grasping using VLM Agents
arXiv cs.RO (Robotics)
arXiv:2610.24016v2 Announce Type: replace Abstract: Robots that follow natural-language instructions unlock a wide range of autonomous applications in households, warehouses, and labs. Real-world environments are diverse and often heavily…
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RobotAgentBench: Towards Open-world Robot Autonomy
arXiv cs.RO (Robotics)
arXiv:2610.34649v1 Announce Type: new Abstract: Recent advances in vision-language-action (VLA) and world-action models (WAMs) have significantly improved robotic manipulation, yet deploying robots in the open world demands a higher level…
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Nonprehensile Robotic Catching Using Virtual Constraints
arXiv cs.RO (Robotics)
arXiv:2610.35851v1 Announce Type: cross Abstract: The problem of nonprehensile robotic catching is addressed using virtual nonholonomic constraints (VNHCs); the motion of the robot end-effector is designed and controlled directly in terms…
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IndustryNav: Evaluating Spatial Reasoning and Safety of Embodied Agents in Dynamic Industrial Navigation
arXiv cs.RO (Robotics)
arXiv:2511.17384v3 Announce Type: replace Abstract: Visual large language models (VLLMs) are increasingly used as embodied agents, yet industrial warehouses demand more than reaching a goal: agents must navigate safely around moving…
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FlowHOI: Flow-based Semantics-Grounded Generation of Hand-Object Interactions for Dexterous Robot Manipulation
arXiv cs.RO (Robotics)
arXiv:2602.13444v2 Announce Type: replace Abstract: Recent vision-language-action (VLA) models can generate plausible end-effector motions, yet they often fail in long-horizon, contact-rich tasks because the underlying hand-object…
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Plug, Play and Comply: Plugin-Based Compliant Control in ROS 2
arXiv cs.RO (Robotics)
arXiv:2607.22483v2 Announce Type: replace Abstract: The paper presents a robot-agnostic framework for implementing and deploying compliant-control algorithms across different manipulators. It extends the ROS control ecosystem with a…
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Energy-Based Fault Detection and Isolation Framework for Flat Port-Hamiltonian Mechanical Systems
arXiv cs.RO (Robotics)
arXiv:2610.33679v1 Announce Type: new Abstract: Fault diagnosis during regulated motion requires informative signals even when feedback attenuates tracking deviations. This paper develops an energy-based diagnostic framework that…
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RoboJev: An Open Vision-Language Judge for Robot Success Detection
arXiv cs.RO (Robotics)
arXiv:2610.33718v1 Announce Type: new Abstract: Many robot manipulation videos do not indicate whether the task was successfully completed. RoboJev-27B is an open-weight vision-language model that takes a task instruction, 10 frames of a…
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RoboWorM: Evaluating Movement Realism, Consistency and Acceleration Affects in Embodied Video World Models
arXiv cs.RO (Robotics)
arXiv:2610.33807v1 Announce Type: new Abstract: Video world models (VWMs) are rapidly emerging as scalable neural simulators for robotic manipulation. However, most benchmarks only evaluate them as open-world video generators, using…
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Doppler-aided Position-Velocity Tracking of Hidden Objects using mmWave Radar
arXiv cs.RO (Robotics)
arXiv:2610.34085v1 Announce Type: new Abstract: Safe indoor operation requires autonomous tracking of objects that are not directly visible to the robot. Optical non-line-of-sight (NLoS) methods depend on ambient lighting and scene…
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PS-DLO: Property- and Spatially Aware Deformable Linear Object Manipulation Policy
arXiv cs.RO (Robotics)
arXiv:2610.34147v1 Announce Type: new Abstract: Deformable linear objects (DLO) pose a coupled perception and control challenge: their slender geometry makes precise localization difficult, while their deformations depend on…
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JevVLA: Jev-Inspired Energy-Based Adaptation for Vision-Language-Action Policies
arXiv cs.RO (Robotics)
arXiv:2610.35010v1 Announce Type: new Abstract: Vision-language-action (VLA) policies can select among discrete candidates for pick-and-place manipulation or generate continuous action chunks for motion control. Improving both forms of…
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Context-dependent Runtime Construction of Safe Regions of Attraction from Design-Time Identification for Multi-Candidate Simplex Architectures
arXiv cs.RO (Robotics)
arXiv:2610.35040v1 Announce Type: new Abstract: Deploying safety-critical cyber-physical systems requires control strategies that reconcile high performance and adaptability with rigorous safety guarantees. Classical control strategies…
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Revisiting Direct Control: A Field Evaluation of Sensor Fusion Efficacy in Teleoperating Full-Scale Autonomous Vehicles via Bird's Eye View
arXiv cs.RO (Robotics)
arXiv:2610.35630v1 Announce Type: new Abstract: In autonomous driving, robot teleoperation serves as a critical safety fallback mechanism, requiring operators to assume direct control in the event of system failure. While recent research…
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Execution Logs Sway VLM Judges of Robot Progress
arXiv cs.RO (Robotics)
arXiv:2610.34151v1 Announce Type: cross Abstract: Vision-language models now grade robot videos, and text placed beside the frames can change their verdicts. On clips where the robot is losing progress, we add one log line saying the robot…
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EAST: Embodied AI Safety Testing via Systematic Fault Injection in Digital Twins
arXiv cs.RO (Robotics)
arXiv:2610.34358v1 Announce Type: cross Abstract: Task success is not a sufficient measure of safety for embodied artificial intelligence (AI), because robots may complete objectives while violating safety requirements. Existing…
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Securing Edge ＆ Physical AI: Post-Quantum IoT Blockchain for Mission-Critical Cyber-Physical Agents
arXiv cs.RO (Robotics)
arXiv:2610.33862v1 Announce Type: cross Abstract: Distributed Cyber-Physical Systems (CPS) and Edge AI networks increasingly depend on public-key authentication and key-establishment mechanisms that are vulnerable to cryptographically…
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Nonlinear Control of Aerial Manipulator
arXiv cs.RO (Robotics)
arXiv:2610.34454v1 Announce Type: cross Abstract: This paper presents two controllers for a quadrotor equipped with a two-DOF robot manipulator that physically interacts with the environment. Cartesian impedance and adaptive sliding mode…
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Trajectory Generation and Control for Quadrotors
arXiv cs.RO (Robotics)
arXiv:2610.34456v1 Announce Type: cross Abstract: In this project, I explored controller design and trajectory generation for a quadrotor. Differential flatness was used for trajectory generation based on one of the references. A minimum…
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A Semantic Autonomy Framework for VLM-Integrated Indoor Mobile Robots: Hybrid Deterministic Reasoning and Cross-Robot Adaptive Memory
arXiv cs.RO (Robotics)
arXiv:2605.02525v2 Announce Type: replace Abstract: Semantic indoor navigation requires robots to connect human instructions with spatial destinations, execute missions and retain useful operational experience. This paper presents the…
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RoboEvolve: Co-Evolving Planner-Simulator for Robotic Manipulation with Limited Data
arXiv cs.RO (Robotics)
arXiv:2605.13775v2 Announce Type: replace Abstract: The scalability of robotic manipulation is fundamentally bottlenecked by the scarcity of task-aligned physical interaction data. While vision-language models (VLMs) and video generation…
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Haptic Sorter: A Unified Planning Framework for Online Shape Estimation and Real-Time Pose Inference
arXiv cs.RO (Robotics)
arXiv:2605.31352v2 Announce Type: replace Abstract: Robotics manipulation usually assumes that the shape and pose of the object are known to the robot prior to motion planning. However, precise geometric information is not always available…
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GE-Act 2.0: Pretraining and Scaling a World-Action Model for Robotic Manipulation
arXiv cs.RO (Robotics)
arXiv:2609.05588v3 Announce Type: replace Abstract: World-action models (WAM) predict future states to guide robot actions, enabling learning from both action-free video and action-labeled interaction. Most inherit pretrained video…
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DSGN: A Dual-Stream Gated Network for Scalable Simultaneous Surveillance and Containment
arXiv cs.RO (Robotics)
arXiv:2610.34084v1 Announce Type: new Abstract: The simultaneous surveillance and containment (SSC) problem arises in multi-robot applications such as perimeter security and environmental monitoring, where robots must survey a region of…
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Dual Gradient Consensus for Adaptive Learning to Transient Out-of-Distribution Disturbances in Quadrotor Control
arXiv cs.RO (Robotics)
arXiv:2610.34538v1 Announce Type: new Abstract: Quadrotor trajectory tracking under unmodeled disturbances often relies on online residual adaptation, but short out-domain residuals can corrupt the learned disturbance model when…
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Environment Edits as a Corrective Signal for Reward Learning
arXiv cs.RO (Robotics)
arXiv:2610.35659v1 Announce Type: new Abstract: Robot corrections allow people to adjust a robot's behavior, but a single correction changes many features. Also, preferences about object attributes and relationships between objects cannot…
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CRAFT-E: An Interpretable and Editable Neuro-Symbolic Framework for Affordance-Grounded Active Object Retrieval
arXiv cs.RO (Robotics)
arXiv:2512.04231v2 Announce Type: replace Abstract: Assistive robots operating in unstructured environments must reason not only about what objects are, but how they can be used, including non-canonical and improvised uses. This requires…
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Making Space for Time: The Special Galilean Group and Its Application to Some Robotics Problems
arXiv cs.RO (Robotics)
arXiv:2409.14276v3 Announce Type: replace Abstract: The special Galilean group, usually denoted SGal(3), is a 10-dimensional Lie group whose important subgroups include the special orthogonal group, the special Euclidean group, and the…
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HARP: Handoff-Aware Recovery Planning for Active Target Acquisition in Multi-UAV Handoff
arXiv cs.RO (Robotics)
arXiv:2610.33640v1 Announce Type: new Abstract: Continuous aerial tracking often requires multiple drones to maintain target coverage over long periods. During handoff, the receiving UAV may lack prior target observations and must actively…
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PushAround: Collaborative Path Clearing via Physics-Informed Hybrid Search
arXiv cs.RO (Robotics)
arXiv:2610.35062v1 Announce Type: new Abstract: Large vehicles in cluttered environments are often blocked by movable obstacles, motivating mobile robot teams to clear traversable corridors. Navigation Among Movable Obstacles (NAMO)…
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Thermal-Headroom Routing for Efficient Robot Perception in Extreme Heat
arXiv cs.RO (Robotics)
arXiv:2610.35231v1 Announce Type: new Abstract: Adaptive robot perception systems must balance detector accuracy, inference latency, and energy consumption, particularly when high ambient temperatures cause processors to thermally…
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Pretraining Knows What, Simulation Teaches How: Compositional Generalization in a Sim-Trained Robot Agent
arXiv cs.RO (Robotics)
arXiv:2610.35817v1 Announce Type: new Abstract: A robot policy needs to understand what a task is asking for in a scene, and how to move the robot to accomplish that task. To achieve these two skills, we introduce Zero-real Agent Policy…
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Robust Single-Parameter Point Cloud Registration using Truncated Lp Functions
arXiv cs.RO (Robotics)
arXiv:2610.34271v1 Announce Type: cross Abstract: We propose a novel method for robust point cloud registration with only one tunable parameter. Our method, dubbed TLP, uses truncated $L_p$ functions with different values of $p$ to assign…
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Video World Models Need Predictable Latents
arXiv cs.RO (Robotics)
arXiv:2610.34663v1 Announce Type: cross Abstract: Video world models trained on large-scale robot data promise a safe and scalable approach for learning and evaluating policies that act in the physical world. However, they still struggle…
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AdaDexTrack: Dynamic Modulation for Adaptive and Generalizable Dexterous Manipulation Tracking
arXiv cs.RO (Robotics)
arXiv:2610.33852v1 Announce Type: new Abstract: Language is a natural way to command robots, but converting a single instruction into a long-horizon, contact-rich hand-object interaction remains challenging: synthesized references are…
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RynnVLA-Latent: Scaling Robotic Manipulation Foundation Models with 3D-Grounded Latent Actions
arXiv cs.RO (Robotics)
arXiv:2610.34356v1 Announce Type: new Abstract: Scaling vision-language-action (VLA) models is constrained by scarce action-labeled demonstrations and incompatible control spaces across robot embodiments. We present RynnVLA-Latent, a…
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3D-Force Estimation for Dual-arm Manipulation of Deformable Linear Objects via Factor Graphs
arXiv cs.RO (Robotics)
arXiv:2610.35058v1 Announce Type: new Abstract: Estimating forces acting on Deformable Linear Objects (DLOs) is challenging due to their underactuated nature. However, reliable contact estimation is crucial to precisely control them and…
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DEX-PHD: A Dexterous Portable Handheld Device for Multimodal Data Collection
arXiv cs.RO (Robotics)
arXiv:2610.35462v1 Announce Type: new Abstract: Existing manipulation data collection methods typically offer either accurate robot-state acquisition through kinematic-chain-based teleoperation or convenient, portable operation through…
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FISRF: Flexible Instructional Scaffolding Reflection Framework for Robotics Task Planning with Large Language Model
arXiv cs.RO (Robotics)
arXiv:2610.35686v1 Announce Type: new Abstract: Large Language Models (LLMs) are widely adopted for reflective error correction in task planning; however, existing approaches primarily rely on autonomous exploration, rendering them prone…
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Learning Force-Reactive Humanoid Loco-Manipulation
arXiv cs.RO (Robotics)
arXiv:2610.35862v1 Announce Type: new Abstract: Many everyday tasks require controlling contact force as well as motion. On a humanoid, this force must often be coordinated across both hands and the whole body, and cannot be specified by…
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Segmentation of Moving Objects During Camera Motion Using the OWL Function
arXiv cs.RO (Robotics)
arXiv:2610.33789v1 Announce Type: cross Abstract: We present a principled, analytical framework for segmenting multiple independently moving rigid objects during single camera motion, built directly upon the OWL perception function. OWL…
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RAIWAY: A Large-Wheeled Bipedal Robot with Contact-Informed Blind Locomotion
arXiv cs.RO (Robotics)
arXiv:2610.33172v1 Announce Type: new Abstract: We present RAIWAY, an in-house wheeled bipedal robot with 20-inch wheels, together with a contact-informed control approach for rolling locomotion across irregular and discontinuous terrain…
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ReSight: Task-Driven Self-Improving Memory for Embodied Agents
arXiv cs.RO (Robotics)
arXiv:2610.33487v1 Announce Type: new Abstract: Robots can use historical observations to answer spatiotemporal queries in familiar environments, but the presence of relevant evidence does not imply that existing tools support the…
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VISTA: Active Exploration for Self-Improvement in Embodied Agents
arXiv cs.RO (Robotics)
arXiv:2610.35051v1 Announce Type: new Abstract: Agentic embodied intelligence plays a foundational role in open-ended, dynamic physical environments. Rather than treating policy learning as an end-to-end mapping from instructions to…
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VPR-Space: A Benchmark for Visual Place Recognition in Space Analog Domains
arXiv cs.RO (Robotics)
arXiv:2610.35642v1 Announce Type: new Abstract: Visual Place Recognition (VPR) is an important means for loop closure detection in visual Simultaneous Localization and Mapping (SLAM). While state-of-the-art VPR and SLAM approaches excel in…
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SentryVLA: Uncertainty-Guided Action Selection and State Monitoring for Vision-Language-Action Robotic Control
arXiv cs.RO (Robotics)
arXiv:2604.16677v2 Announce Type: replace Abstract: Vision-language-action (VLA) models have emerged as generalist robotic controllers that map visual observations and language instructions to continuous actions. However, pretrained VLAs…
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TinyFlow: Breaking the Warping Bottleneck for Edge Optical Flow
arXiv cs.RO (Robotics)
arXiv:2610.33338v1 Announce Type: new Abstract: High-performance optical flow networks are difficult to deploy on resource-constrained edge accelerators because their iterative refinement warps features by the current flow, which relies on…
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WorldFailBench: Do World Models Understand Policy Failures?
arXiv cs.RO (Robotics)
arXiv:2610.33565v1 Announce Type: new Abstract: Robot policy evaluation informs deployment decisions and policy improvement, but physical testing and simulator preparation require substantial effort. World models offer a complementary…
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Behavior Spatial Benchmark: Evaluating Spatial Understanding for Robotics
arXiv cs.RO (Robotics)
arXiv:2610.34051v1 Announce Type: new Abstract: Robot tasks require grounding spatial language in physical scenes, but task success alone cannot establish whether spatial instructions are followed. We present BEHAVIOR-Spatial, a benchmark…
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X-World: Transferring Video Priors to Variable-View Robot Control
arXiv cs.RO (Robotics)
arXiv:2610.34105v1 Announce Type: new Abstract: Video diffusion models provide a source of interaction representations for robot control, but transferring these representations requires reconciling variable camera inputs with heterogeneous…
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Security of Deep Reinforcement Learning for Autonomous Driving: A Survey
arXiv cs.RO (Robotics)
arXiv:2212.06123v4 Announce Type: replace-cross Abstract: Reinforcement learning (RL) enables agents to learn optimal behaviors through interaction with their environment and has been increasingly deployed in safety-critical applications…
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SPECOLA: A Tool for Specification Driven Robot Evaluation
arXiv cs.RO (Robotics)
arXiv:2610.35730v1 Announce Type: new Abstract: Simulation benchmarks are a useful way to measure progress in robotics; typically they provide success rate as the dominant measure of performance. However, success rate reports only whether…
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DriveUniTok: A Unified Multimodal Tokenizer for Driving World-Action Models
arXiv cs.RO (Robotics)
arXiv:2610.35044v1 Announce Type: cross Abstract: World models are emerging as a fundamental component of policy learning for real-world agents, enabling agents to predict future world states and plan actions within a learned…
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High-resolution tactile observation makes hidden racket-control mechanisms learnable
arXiv cs.RO (Robotics)
arXiv:2610.35563v1 Announce Type: cross Abstract: Experts can master fine hand-object manipulation skills, yet limited conscious perception of rapid tactile interactions hinders their ability to articulate the underlying control…
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Learning Dexterous Manipulation: Hands, Simulators, Training, and Evaluation
arXiv cs.RO (Robotics)
arXiv:2610.33486v1 Announce Type: new Abstract: A dexterous hand can change an object's pose without setting it down. This survey covers 113 learning-based methods that attempt it, the hands they run on, the simulators they train in, and…
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MOON: Learning When to Forget and How to Move On in Vision-and-Language Navigation
arXiv cs.RO (Robotics)
arXiv:2610.33546v1 Announce Type: new Abstract: Recent vision-and-language navigation (VLN) policies act on their visual history, and an incorrect action can take them off the instructed route. Paired interventions on four VLN policies…
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EXE: Egocentric Cross-Embodiment Pretraining via Factorized Latent Actions for VLA Models
arXiv cs.RO (Robotics)
arXiv:2610.33685v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models are bottlenecked by the scarcity of robot data. Egocentric human manipulation videos offer an abundant, diverse, and semantically-rich alternative that…
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POD-RoPE: Rotary Position Encoding over Physical Observation Distributions for Embodied AI
arXiv cs.RO (Robotics)
arXiv:2610.33745v1 Announce Type: new Abstract: Embodied perception requires positional representations that capture both physical geometry and the spatial and temporal extent of observations. We introduce POD-RoPE (Physical Observation…
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Extended LASMP: Language Aided Subset Sampling Based Motion Planner for Drone Navigation
arXiv cs.RO (Robotics)
arXiv:2610.34054v1 Announce Type: new Abstract: This paper proposes a command-aligned sampling distribution that incorporates navigation commands directly into the exploration process to improve the efficiency of sampling-based motion…
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Learning Interaction-Aware Path Corrections from Unlabeled Trajectories: A LiDAR-Based Sim-to-Real GNN Framework for Construction Robots
arXiv cs.RO (Robotics)
arXiv:2610.34060v1 Announce Type: new Abstract: Construction robots operating near workers require navigation that can anticipate human motion while remaining robust to dynamic and unstructured site conditions. However, existing social…
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RoboDuo: Attempt, Check and Atomic Recovery through Code for Vision-Language-Action Models
arXiv cs.RO (Robotics)
arXiv:2610.34108v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models map a language instruction and the current observation directly to actions, without checking whether the instruction has been completed. For long-horizon…
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HuGe: Scaling Humanoid Generalist Vision-Language-Action Models with Egocentric Experience
arXiv cs.RO (Robotics)
arXiv:2610.34186v1 Announce Type: new Abstract: Extending Vision-Language-Action models (VLAs) to humanoid robots requires coordinated whole-body control and diverse demonstrations that are costly to collect in real-world scenarios…
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From Language to Drives: A Multimodal Framework for Aligning Autonomous Robots with Human Purposes
arXiv cs.RO (Robotics)
arXiv:2610.35629v1 Announce Type: new Abstract: This work explores a multimodal approach to the alignment of the behavior of open-ended learning autonomous robots with human purposes through the use of large language models as cultural…
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BEACON: Cross-Domain Co-Training of Generative Robot Policies via Best-Effort Adaptation
arXiv cs.RO (Robotics)
arXiv:2605.08571v3 Announce Type: replace Abstract: We introduce BEACON--Best-Effort Adaptation for Cross-Domain Co-Training--a theory-guided framework for training generative robot policies with abundant source demonstrations and limited…
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Interpretable Collision Avoidance and Feasibility Guarantees through an Uncertainty Aware Pipeline
arXiv cs.RO (Robotics)
arXiv:2610.33186v1 Announce Type: new Abstract: Autonomous vehicles (AVs) operating in dynamic, challenging conditions such as intersections and roundabouts must guarantee collision avoidance under uncertainty while maintaining real-time…
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ORBIT: A Modular Multi-finger Robotic Hand Platform with Rotational Finger Reconfiguration
arXiv cs.RO (Robotics)
arXiv:2610.33241v1 Announce Type: new Abstract: Despite the popularity of multi-fingered robotic hands for dexterous manipulation, there is no systematic platform to compare different hand morphologies against one another. We present ORBIT…
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Networked Humanoid Intelligence: Communication, Coordination, Collaboration, and Social Interaction
arXiv cs.RO (Robotics)
arXiv:2610.34740v1 Announce Type: new Abstract: Humanoid robots are moving from laboratory platforms toward connected fleets that share workspaces, infrastructure, tasks, and knowledge with other robots and humans. As deployments grow, the…
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Localization-Uncertainty-Aware UAV Swarm Search for GNSS-Denied Maritime Surveillance
arXiv cs.RO (Robotics)
arXiv:2610.34873v1 Announce Type: new Abstract: This paper studies UAV swarm search in GNSS-denied maritime environments, where inter-UAV ranging drives cooperative localization and uncertainty propagates along the multi-hop reference…
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TrySee: Modular Perception-Enhanced VLM Grounding for Closed-Loop Robot Task Planning in Specialized Domains
arXiv cs.RO (Robotics)
arXiv:2610.35687v1 Announce Type: new Abstract: Vision Language Models (VLMs) have shown impressive capabilities in high-level reasoning and task planning for robots. However, specialized domains remain a challenge for VLMs' image…
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AdaPolicy: Action-Driven Anticipatory Robot Policies via Next-Chunk Prediction
arXiv cs.RO (Robotics)
arXiv:2610.34280v1 Announce Type: new Abstract: Endowing robot policies with anticipatory capabilities has proven effective in improving control performance. However, existing methods predominantly rely on explicit supervision derived from…
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Distributed Predictive Flocking for a Swarm of Miniature Vibration-Driven Robots in a Confined Arena
arXiv cs.RO (Robotics)
arXiv:2610.35582v1 Announce Type: new Abstract: Coordinating many miniature robots in a confined arena, with no leader, central planner, or global map, is a core challenge for swarm robotics. As the swarm grows denser, collision avoidance…
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Gaussian Episodic Memory for Long-Term Spatiotemporal Reasoning
arXiv cs.RO (Robotics)
arXiv:2610.33158v1 Announce Type: cross Abstract: Real-world environments undergo continual semi-static changes, requiring a memory representation that captures both the spatial and temporal evolution of a scene. Existing spatio-temporal…
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Collaborative Continuum Robots: A Survey from an Automation-System Perspective
arXiv cs.RO (Robotics)
arXiv:2601.10721v2 Announce Type: replace Abstract: Continuum robots (CRs), owing to their compact structure, inherent compliance, and flexible deformation, have been widely applied in various fields. By coordinating multiple CRs to form…
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UniManip: Open-World Robotic Manipulation via Agentic Operational Graphs
arXiv cs.RO (Robotics)
arXiv:2602.13086v2 Announce Type: replace Abstract: Achieving general-purpose robotic manipulation requires robots to bridge high-level semantic intent with low-level physical interaction in unstructured environments. However, zero-shot…
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Contract-Based Agentic Systems Engineering: Delegation as Quotient for Assured System Design
arXiv cs.RO (Robotics)
arXiv:2610.33349v1 Announce Type: cross Abstract: A component an agent builds from a prompt can satisfy it and still break the system it joins, because the prompt omits what its neighbours assume of it. The artifact to hand over is…
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Behavioural Quality Is Not Learning Utility: Objective Mismatch in Human Behaviour Models for Robot Learning
arXiv cs.RO (Robotics)
arXiv:2610.34839v1 Announce Type: new Abstract: Human behaviour models are increasingly used to provide simulated human interactions for training robots via reinforcement learning (RL). Existing approaches primarily evaluate these models…
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OneDemo: Unified Policy Learning and Data Generation from a Single Demonstration
arXiv cs.RO (Robotics)
arXiv:2610.18188v2 Announce Type: replace Abstract: Learning robot policies from demonstrations is often limited by the cost of collecting diverse, high-quality expert data. While an appealing alternative is to expand a single successful…
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Causal-based approaches to explain and learn from self-extension - A review
arXiv cs.RO (Robotics)
arXiv:2610.33227v1 Announce Type: new Abstract: The last decades have seen a revolution in autonomous robotics. Deep learning approaches and their hardware implementations have made it possible to endow robots with extraordinary perceptual…
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I Won't Know Until I Try: Interactive Information Gathering for Long-Horizon Manipulation
arXiv cs.RO (Robotics)
arXiv:2610.33959v1 Announce Type: new Abstract: Long-horizon manipulation often depends on object properties that cannot be reliably inferred from appearance alone. Physical interaction can reveal these properties, but it can also change…
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ISB-NMPC: Interception-Oriented Spherical-Bearing Nonlinear Model Predictive Control for Quadrotors
arXiv cs.RO (Robotics)
arXiv:2610.34789v1 Announce Type: new Abstract: Quadrotor interceptors equipped with strapdown cameras offer a low-cost solution for physically countering unauthorized UAVs. However, this configuration inherently couples vehicle…
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Memory-Aware Keyframe Management for Dense Maps on Memory-Constrained Robots
arXiv cs.RO (Robotics)
arXiv:2610.33574v1 Announce Type: new Abstract: Running a language model and a dense 3D map on one device means the two share one memory, and exceeding its limit is an out-of-memory failure. Map systems that keep a bounded working set…
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HA-DiPO: Diffusion Policy Optimization for Heterogeneous Cooperative Transport
arXiv cs.RO (Robotics)
arXiv:2610.33584v1 Announce Type: new Abstract: Cooperative transport with heterogeneous legged robots requires coordinating different motion capabilities while supporting an unfixed shared payload. We present HA-DiPO (Heterogeneous-Agent…
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RoboReason: Boosting Robotics-Relevant VLM Reasoning Through Scalable Data Generation
arXiv cs.RO (Robotics)
arXiv:2610.33778v1 Announce Type: new Abstract: Vision-Language Models (VLMs) have demonstrated impressive performance when integrated into robot manipulation pipelines, but real-world evaluation of VLM capabilities on downstream robotics…
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IntNet: A Communication-Driven Multi-Agent Reinforcement Learning Framework for Cooperative Autonomous Driving
arXiv cs.RO (Robotics)
arXiv:2610.34466v1 Announce Type: new Abstract: Achieving safety in autonomous driving through Multi-Agent Reinforcement Learning (MARL) is a critical yet challenging task due to non-stationarity, partial observability, and the need for…
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TRIAGE: Efficient Vision-Language-Action Inference Needs Both Reuse and Pruning
arXiv cs.RO (Robotics)
arXiv:2610.34519v1 Announce Type: new Abstract: Vision-language-action (VLA) models are increasingly used for robot manipulation because they map camera images and a language instruction directly to actions. Robots that cannot be tethered…
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The German Tank Problem ＆ Navigating by Scent
arXiv cs.RO (Robotics)
arXiv:2610.34583v1 Announce Type: new Abstract: A robot searching for the source of an odor must eventually answer a deceptively hard question: have I arrived? Near the source, concentration gradients flatten, turbulence makes the signal…
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Differentiable Contact Dynamics for Legged Locomotion: Policy Learning and Contact-Implicit Trajectory Optimization
arXiv cs.RO (Robotics)
arXiv:2610.35852v1 Announce Type: new Abstract: This paper proposes a smooth analytic gradient for frictional contact and applies it to policy learning and contact-implicit trajectory optimization for legged locomotion. The exact contact…
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WorldArena 2.0: Extending Embodied World Model Benchmarking on Modality, Functionality and Platform
arXiv cs.RO (Robotics)
arXiv:2605.17912v2 Announce Type: replace Abstract: World models have emerged as a central paradigm for embodied intelligence, enabling agents to predict action-conditioned future and reason about environmental dynamics. However, existing…
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Sybil-Resilient Multi-Drone Exploration of Indoor and Confined Spaces
arXiv cs.RO (Robotics)
arXiv:2610.33906v1 Announce Type: new Abstract: When a team of drones explores a building together, each drone tells the others which frontier it is going to and shares the map it has built. This avoids duplicated effort, but it also means…
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MMGNet: Multi-Modal 6-DoF Grasp Synthesis for Cluttered Scenes
arXiv cs.RO (Robotics)
arXiv:2610.34893v1 Announce Type: new Abstract: Grasping is a foundational capability in robotic manipulation. Scene-level 6-DoF grasp synthesis relies on point clouds for metric geometry, yet real-world point observations are often noisy…
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Automotive-ENV: Benchmarking Multimodal Models in Automotive Cockpit Environments
arXiv cs.RO (Robotics)
arXiv:2509.21143v3 Announce Type: replace Abstract: Multimodal models have demonstrated strong capabilities in web, desktop, and mobile GUI environments, but their performance in automotive cockpit systems remains largely unexplored…
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High-Speed, Scalable Sensor Readout for Dexterous Robotic Hands via Shift-Register Multiplexing
arXiv cs.RO (Robotics)
arXiv:2605.01434v2 Announce Type: replace Abstract: Dexterous robotic hands require high-speed multimodal sensing across many degrees of freedom, yet existing readout architectures often impose trade-offs between sensor count, wiring…
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OSWAM: An Effective World Action Model with One-Step Action Generation
arXiv cs.RO (Robotics)
arXiv:2610.35850v1 Announce Type: cross Abstract: Direct-policy World Action Models (WAM) have demonstrated the benefits of decoupling action generation from explicit future visual prediction for efficient inference in autonomous driving…
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Learning Direct Control from Optimization for Dynamic Target Tracking
arXiv cs.RO (Robotics)
arXiv:2610.34929v1 Announce Type: new Abstract: Dynamic target tracking requires a mobile robot to maintain target visibility while navigating obstacles with smooth, feasible controls. Online trajectory optimization explicitly encodes…