Robotics & Automation
Robotics & Automation news — Thursday 01 October 2026
150 stories from 4 sources, every one in English. Each links to its publisher.
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Top 10 robotics stories of September 2026
The Robot Report
September 2026 was a packed month for the robotics industry. Live events, including IMTS, ROSCon, and iROS, brought a flood of developments around automation and AI. This month, our top 10 is filled with new products, company launches, and…
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Top 10 robotics stories of September 2026
Robotics Business Review
September 2026 was a packed month for the robotics industry. Live events, including IMTS, ROSCon, and iROS, brought a flood of developments around automation and AI. This month, our top 10 is filled with new products, company launches, and…
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Boston Dynamics drops pinkie on new humanoid hand
The Robot Report
Boston Dynamics said it didn’t set out to build a complicated hand, but instead a reliable one capable of using tools. | Source: Boston Dynamics Boston Dynamics today unveiled the newest hand for its Atlas humanoid. The hand has four…
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Boston Dynamics drops pinkie on new humanoid hand
Robotics Business Review
Boston Dynamics said it didn’t set out to build a complicated hand, but instead a reliable one capable of using tools. | Source: Boston Dynamics Boston Dynamics today unveiled the newest hand for its Atlas humanoid. The hand has four…
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Precision In Motion. Vishay Precision Group, Inc. (VPG) to Showcase Custom Sensing Capabilities for Humanoid Robotics at RoboBusiness 2026
The Robot Report
As humanoid robots move from research labs into factories, warehouses, homes, and other shared spaces, accurate physical feedback becomes crucial. These machines are designed to mimic human dexterity, balance, and decision-making, but they…
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Precision In Motion. Vishay Precision Group, Inc. (VPG) to Showcase Custom Sensing Capabilities for Humanoid Robotics at RoboBusiness 2026
Robotics Business Review
As humanoid robots move from research labs into factories, warehouses, homes, and other shared spaces, accurate physical feedback becomes crucial. These machines are designed to mimic human dexterity, balance, and decision-making, but they…
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Your Robot’s Safety Functions Already Work. What If the Input Lies?
The Robot Report
A robot can follow its safety rules and still act on manipulated information. See what this means for robot safety and how teams can strengthen their testing and evidence. A mobile robot slows for someone in a hallway. A collaborative arm…
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Your Robot’s Safety Functions Already Work. What If the Input Lies?
Robotics Business Review
A robot can follow its safety rules and still act on manipulated information. See what this means for robot safety and how teams can strengthen their testing and evidence. A mobile robot slows for someone in a hallway. A collaborative arm…
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Atlas Robot’s New Hand May Outperform Human-Like Designs
IEEE Spectrum Robotics
Today, Boston Dynamics is announcing a redesigned hand for its Atlas robot . The previous generation could do some crazy superhuman things with its three fingers, but it was never intended for mass production in the tens or hundreds of…
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How Maven Robotics plans to automate industrial work, one task at a time
The Robot Report
Maven founders, CFO Khalid Derbas and CEO Hamza Derbas with the company’s robot. | Source: Maven Robotics Since it was founded in 2024, Maven Robotics has created four iterations of its mobile manipulator, raised $100 million, and gone…
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How Maven Robotics plans to automate industrial work, one task at a time
Robotics Business Review
Maven founders, CFO Khalid Derbas and CEO Hamza Derbas with the company’s robot. | Source: Maven Robotics Since it was founded in 2024, Maven Robotics has created four iterations of its mobile manipulator, raised $100 million, and gone…
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ANYbotics launches Shift to streamline robot fleet operations, scale inspections
The Robot Report
The ANYmal quadruped now works with ANYbotics Shift for autonomous inspections. Source: ANYbotics Undetected failures cost the world’s 500 largest companies an estimated $1.4 trillion each year in downtime, with a single hour of outage…
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ANYbotics launches Shift to streamline robot fleet operations, scale inspections
Robotics Business Review
The ANYmal quadruped now works with ANYbotics Shift for autonomous inspections. Source: ANYbotics Undetected failures cost the world’s 500 largest companies an estimated $1.4 trillion each year in downtime, with a single hour of outage…
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GroundAnything: Reconciling Parallel Decoding with Precise Visual Grounding at Flash Speed
arXiv cs.RO (Robotics)
arXiv:2609.39600v1 Announce Type: cross Abstract: Autoregressive (AR) grounding models serialize spatial predictions, introducing sequential latency and imposing a causal order on output tokens. We view grounding as visual evidence…
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OGPO: One-Step Generative Policy Optimization for Real-Time Robot Control
arXiv cs.RO (Robotics)
arXiv:2601.20701v2 Announce Type: replace Abstract: Real-time robot control demands fast action generation. Diffusion and flow matching policies for robot control require multi-step sampling, limiting their deployment in real-time…
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SoRoMoX: Fast, Differentiable, and Parallelizable Soft Robot Models
arXiv cs.RO (Robotics)
arXiv:2608.06650v2 Announce Type: replace Abstract: Reduced-order models based on Cosserat-rod theory are now well established, and modeling theory is no longer the primary bottleneck in soft-robot control. Their implementations, however…
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Human-in-the-Loop Geospatial Annotation for Rapid Dataset Construction in Field-Deployed UAV Systems
arXiv cs.RO (Robotics)
arXiv:2609.28767v4 Announce Type: replace Abstract: Real-world perception systems must adapt to changing environments, but manual image annotation cannot scale to field data volumes. We present BirdsEye, which shifts expert annotation from…
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GestAdapt: Workspace-Conditioned Co-Speech Gesture Generation for Humanoid Robots
arXiv cs.RO (Robotics)
arXiv:2609.38400v1 Announce Type: new Abstract: Co-speech gestures for robots must adapt not only to speech and embodiment, but also to the workspace available for performing the motion. Since the same speech can be accompanied by…
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Linear Recurrent Memory Suffices to Distil a World-Model Policy for Robot Air Hockey
arXiv cs.RO (Robotics)
arXiv:2609.39151v1 Announce Type: new Abstract: Does memory-dependent control need nonlinear recurrent dynamics? We study simulated air-hockey defence under temporary loss of puck tracking. A DreamerV3 teacher outperforms a memoryless…
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EmbodiRSI: Recursive Self-Improvement for Data-Efficient Robot Adaptation
arXiv cs.RO (Robotics)
arXiv:2609.38905v1 Announce Type: new Abstract: Adapting robot manipulation policies to new tasks and environments remains highly data-intensive, while the data needed for further improvement depends on the policy's current capabilities…
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Tri-Info: Generalizable, Interpretable Failure Prediction for VLA Models via Information Theory
arXiv cs.RO (Robotics)
arXiv:2606.19998v2 Announce Type: replace Abstract: Vision-Language-Action (VLA) models are increasingly deployed across diverse tasks, yet they remain black boxes whose physical interactions can cause irreversible harm, making…
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CrossSafe: Towards Cross-Embodiment Latent Safety Filters
arXiv cs.RO (Robotics)
arXiv:2609.28984v2 Announce Type: replace Abstract: Cross-embodiment learning has shown that a single model, such as a vision-language-action (VLA) model, can learn state representations and manipulation skills that can be applied across…
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Vision-Language-Action Autonomous Driving Agent with Language-based Memory
arXiv cs.RO (Robotics)
arXiv:2609.38641v1 Announce Type: cross Abstract: Vision-Language-Action (VLA) foundation models have recently emerged as one of the prevailing solutions for autonomous driving, as they can utilize knowledge acquired during vision-language…
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PhasePlan: Ordered Future-Phase Planning for Robot Brain Models
arXiv cs.RO (Robotics)
arXiv:2609.39970v1 Announce Type: new Abstract: Robot brain models integrate vision, language, and robot state to generate actions for complex manipulation tasks. Most predict fixed-length action chunks that may span multiple task phases…
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DiffWAM: A Fast and Efficient Navigation World Action Model
arXiv cs.RO (Robotics)
arXiv:2609.39763v1 Announce Type: new Abstract: Pretrained video foundation models encode rich semantic and spatiotemporal priors for embodied navigation, yet converting these priors into UAV motion typically requires expensive…
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Inline Memory Meets Reusable Skills: Memory-centric Framework for Vision-Language-Action Model
arXiv cs.RO (Robotics)
arXiv:2609.39794v1 Announce Type: cross Abstract: Vision-Language-Action (VLA) models have shown strong promise for general-purpose robotic manipulation, yet adapting them to new tasks and domains remains inefficient: existing methods…
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A Reachability-based Safety Certificate for Dynamical System Motion Policies
arXiv cs.RO (Robotics)
arXiv:2609.38421v1 Announce Type: new Abstract: Dynamical Systems (DS) are reactive motion policies representing vector fields trained with theoretical guarantees of stability and convergence. To ensure safety during deployment in unknown…
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CEER2: Directional and Tunable End-Effector and Root Compliance for Humanoid Loco-Manipulation
arXiv cs.RO (Robotics)
arXiv:2609.38709v1 Announce Type: new Abstract: Humanoids are increasingly capable of tracking complex whole-body motions, but physical interaction introduces a different challenge. When a robot makes contact with a person or the…
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LocoWM: High-Precision Locomotion through World-Model-Guided Residual Adaptation
arXiv cs.RO (Robotics)
arXiv:2609.39179v1 Announce Type: new Abstract: High-precision locomotion combines motion-command tracking with precise regulation of task-relevant physical states, enabling robots to interact reliably with their surroundings during…
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Benchmarking EMlog Calibration for Autonomous Surface Vehicles
arXiv cs.RO (Robotics)
arXiv:2609.39203v1 Announce Type: new Abstract: Accurate velocity measurement is a fundamental requirement for autonomous surface and underwater vehicles. Commonly, velocity is provided by a Doppler velocity log (DVL) sensor, yet it…
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The Planning Limits of Latent World Models
arXiv cs.RO (Robotics)
arXiv:2609.39235v1 Announce Type: new Abstract: World models offer a promising way to help robots understand how the physical world evolves and plan complex behaviours through imagination. Yet existing studies mainly demonstrate what these…
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LIBERO-Agent: Evaluating General-Purpose Agents for Direct Embodied Manipulation
arXiv cs.RO (Robotics)
arXiv:2609.39507v1 Announce Type: new Abstract: General-purpose agents can plan, use tools, and revise their behavior from feedback, but it remains unclear whether these capabilities transfer from digital environments to embodied…
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General Performance Guarantee for Human Torque Estimation-Based Task-Agnostic Assistive Exoskeleton Control
arXiv cs.RO (Robotics)
arXiv:2609.39558v1 Announce Type: new Abstract: Accurate human torque estimation is crucial for enabling task-agnostic control in robotic exoskeleton systems. However, estimation errors may cause mismatches between the robot assistance and…
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Experience-Driven Continual Learning of Terrain Traversability for Quadruped Robots
arXiv cs.RO (Robotics)
arXiv:2609.39755v1 Announce Type: new Abstract: Safe and efficient quadruped navigation over unfamiliar terrain requires predicting terrain-robot interaction before contact: geometry and visual appearance alone cannot reveal how the robot…
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RL-Guided PAC-NMPC for Probabilistically-Safe Perception-Based Navigation in Unknown Environments
arXiv cs.RO (Robotics)
arXiv:2609.39854v1 Announce Type: new Abstract: In this paper, we present an approach for combining stochastic nonlinear model predictive control (SNMPC) and reinforcement learning (RL) to enable probabilistically-safe perception-based…
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Multi-Link Safety Filtering for VLA Policies Around Moving Hazards
arXiv cs.RO (Robotics)
arXiv:2609.40007v1 Announce Type: new Abstract: A vision-language-action (VLA) policy can finish a manipulation task while knocking over objects unrelated to it, so task success alone does not show that the policy is safe to deploy in…
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STARS: From Spatiotemporal Dynamics to Social Representations in Human-Robot Interaction
arXiv cs.RO (Robotics)
arXiv:2609.40245v1 Announce Type: new Abstract: Robot navigation in dynamic, human-centered environments requires socially-compliant decisions grounded in robust scene understanding. Recent Vision-Language Models (VLMs) exhibit promising…
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DynaHarness: A Dynamic Physical Harness for Self-Evolving Robot Agents
arXiv cs.RO (Robotics)
arXiv:2609.40306v1 Announce Type: new Abstract: Pretrained robot policies provide useful action priors, but long-horizon manipulation still requires coordination between semantic reasoning and physical execution. Semantic reasoning…
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Learning to Build: Autonomous Robotic Assembly of Stable Structures Without Predefined Plans
arXiv cs.RO (Robotics)
arXiv:2602.23934v2 Announce Type: replace Abstract: This paper presents a novel autonomous robotic assembly framework for constructing stable structures without relying on predefined architectural blueprints. Instead of following fixed…
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H-WM: Robotic Task and Motion Planning Guided by Hierarchical World Model
arXiv cs.RO (Robotics)
arXiv:2602.11291v3 Announce Type: replace Abstract: World models are becoming central to robotic planning and control by predicting future state transitions. Existing approaches mainly rely on visual, latent, or language prediction, which…
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ExpertGen: Scalable Sim-to-Real Expert Policy Learning from Imperfect Behavior Priors
arXiv cs.RO (Robotics)
arXiv:2603.15956v4 Announce Type: replace Abstract: Learning generalizable and robust behavior cloning policies requires large volumes of high-quality robotics data. While human demonstrations (e.g., through teleoperation) serve as the…
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FlowDPG: Deterministic Policy Gradient on Flow Matching Policies for Real-World Manipulation
arXiv cs.RO (Robotics)
arXiv:2606.22303v2 Announce Type: replace Abstract: Real-world reinforcement learning for robotic manipulation remains challenging, and this difficulty is amplified for flow matching policies: policy gradients must be backpropagated…
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WorldToken: Time-First Sequence Modeling for Robotic Imitation Learning
arXiv cs.RO (Robotics)
arXiv:2608.22591v2 Announce Type: replace Abstract: Vision-language-action policies inherit both capabilities and input representations from pretrained vision-language models, showing great potential for robotic manipulation across diverse…
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Workspace Models: Lightweight Robotic Memory via Saliency-Driven Supervision
arXiv cs.RO (Robotics)
arXiv:2609.20820v3 Announce Type: replace Abstract: Complex robotic manipulation tasks frequently require a long-term memory of past events and actions. As conditioning on full histories renders policies prone to spurious correlations and…
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AnyStep-WAM: Budget-Aligned Distillation and Adaptive Inference for World Action Models
arXiv cs.RO (Robotics)
arXiv:2609.33748v2 Announce Type: replace Abstract: World-action models (WAMs) couple predictive visual modeling with action generation, typically relying on iterative denoising with a fixed denoising steps. However, manipulation tasks…
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Understanding Multimodality in Generative Behavioral Cloning
arXiv cs.RO (Robotics)
arXiv:2605.22493v2 Announce Type: replace-cross Abstract: Behavioral cloning becomes challenging when the same observation admits several valid actions. We study how generative behavioral-cloning policies represent such multimodal expert…
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GeoWAM: Visual Geometry World Action Models for Autonomous Driving
arXiv cs.RO (Robotics)
arXiv:2608.23486v3 Announce Type: replace-cross Abstract: World action models (WAMs) have recently gained increasing attention as a framework for jointly modeling scene evolution and ego actions in autonomous driving. Most existing WAMs…
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Identifiable Decomposition of Submovements in Human Hand Trajectories
arXiv cs.RO (Robotics)
arXiv:2609.40012v1 Announce Type: new Abstract: Voluntary movements have long been hypothesised to be comprised of discrete primitives called submovements, as a descriptive model of human motor behaviour. However, existing methods scale…
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MomADv2: Reliable Temporal Memory for End-to-End Autonomous Driving
arXiv cs.RO (Robotics)
arXiv:2608.23405v2 Announce Type: replace-cross Abstract: Long-horizon planning is critical for safe autonomous driving in complex scenarios. Existing methods improve planning continuity with temporal memory, but such memory may become…
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HiWE: Hierarchical World Knowledge Model with Visual Keypoint Enhancement for Zero-Shot 3D Path Planning
arXiv cs.RO (Robotics)
arXiv:2609.39323v1 Announce Type: new Abstract: Robot demonstration generation requires a system to identify where an interaction should occur, plan a feasible motion, and execute the required contact. HiWE connects these decisions through…
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Text-to-3D Policy: Fine-Grained Language-Behavior Alignment for Unseen Specification Generalization
arXiv cs.RO (Robotics)
arXiv:2609.39599v1 Announce Type: new Abstract: 3D visuomotor policies provide a strong foundation for spatially precise manipulation, yet current text-to-3D policies struggle to follow unseen fine-grained behavioral specifications beyond…
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Embodiment-aware control by inference over the operator: a simulation study
arXiv cs.RO (Robotics)
arXiv:2609.38437v1 Announce Type: new Abstract: Teleoperation systems are tuned for channel fidelity, while whether the operator experiences the device as part of the body, the Sense of Embodiment (SoE), is measured only afterwards, by…
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Path-Following Control and Terramechanics Analysis for Planetary Rovers Under Wheel-to-Wheel Traction Asymmetry
arXiv cs.RO (Robotics)
arXiv:2609.38715v1 Announce Type: new Abstract: This paper proposes a control strategy for path following that is model-free and relies solely on deceleration for skid-steering planetary rovers navigating deformable loose terrain under…
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Dream4ACT: A Shared Visual Action Interface for Multi-Embodiment Video-Action Modeling
arXiv cs.RO (Robotics)
arXiv:2609.40153v1 Announce Type: new Abstract: Video generation models (VGMs) offer strong spatiotemporal priors for embodied observation--action modeling. However, joint-space action vectors lack explicit image-space structure and vary…
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DexHoldem: An Agentic Robotics Benchmark for Dexterous Manipulation in Texas Hold'em
arXiv cs.RO (Robotics)
arXiv:2605.18727v2 Announce Type: replace Abstract: Evaluating embodied systems with real dexterous hardware requires more than isolated motor-skill tests: an agent must perceive a changing scene (e.g. a tabletop), choose a…
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SafeVLA-Bench: A Benchmark for the Success-Safety Gap in Vision-Language-Action Models
arXiv cs.RO (Robotics)
arXiv:2606.00773v2 Announce Type: replace Abstract: Vision-language-action (VLA) benchmarks measure whether a policy completes a requested manipulation task, but binary success can hide safety violations along the trajectory: a policy may…
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Don't Drop the BATON: Long-Horizon Robot Manipulation via Agentic Subtask Exploration and Transition-aware Memory
arXiv cs.RO (Robotics)
arXiv:2608.16889v3 Announce Type: replace Abstract: Long-horizon robot manipulation chains many contact-rich skills into one multi-stage task. Vision-language-action (VLA) and world-action models (WAMs) increasingly master individual…
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FootQuery: Future-Touchdown-Guided Retrieval from Depth History for Perceptive Humanoid Locomotion
arXiv cs.RO (Robotics)
arXiv:2609.21447v2 Announce Type: replace Abstract: Humanoid locomotion over complex terrain requires anticipating footholds that may no longer be visible at touchdown. Limited camera coverage and self-occlusion make it necessary to…
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Residual Wrench Certification and Margin-Aware Control Synthesis for Aerial Physical Interaction
arXiv cs.RO (Robotics)
arXiv:2609.38707v1 Announce Type: new Abstract: We develop a task-relative framework for certifying residual wrench authority after hover and contact loading in multirotors with bounded actuators. Using convex geometry, we derive signed…
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Function beyond Form: Functional Correspondence for Cross-Embodiment Dexterous Grasp Generation
arXiv cs.RO (Robotics)
arXiv:2609.39006v1 Announce Type: new Abstract: Cross-embodiment dexterous grasp generation remains challenging because robotic hands differ substantially in geometry, topology, and kinematics. Existing approaches often lack explicit…
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Sparse Planner: A Hybrid Planner for Efficient Sampling via a Conditional Variational Autoencoder
arXiv cs.RO (Robotics)
arXiv:2609.39570v1 Announce Type: new Abstract: Trajectory planning is a core component of autonomous driving systems, where real-time performance and solution quality directly affect safety and reliability. Sample-Based Motion Planning…
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Game-Guided Skill Discovery through Self-Play for Playable Agent Control
arXiv cs.RO (Robotics)
arXiv:2609.40137v1 Announce Type: cross Abstract: We present Game-Guided Skill Discovery (GGSD), a framework that uses self-play in games to discover motor skills that are directly playable by humans. Playable skills provide a compact…
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Collision-Aware Humanoid Whole-Body Control under Imperfect Tracking Targets
arXiv cs.RO (Robotics)
arXiv:2609.16405v2 Announce Type: replace Abstract: Humanoid robots often execute motion commands through whole-body controllers (WBCs) that track targets while maintaining balance and stability. However, most WBCs are blind to scene…
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A Two-Echelon Covering Tour Vehicle Routing Problem with Drones for Post-Disaster Relief
arXiv cs.RO (Robotics)
arXiv:2609.38227v1 Announce Type: new Abstract: We introduce the two-echelon covering tour vehicle routing problem (2E-CTVRP) for the distribution of relief supplies after a disaster. In the first echelon, a fleet of trucks transports…
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Bounded Channel-Adaptive Spectral Learning for Forward-Consistent Inverse Flapping-Wing Aerodynamics
arXiv cs.RO (Robotics)
arXiv:2609.38730v1 Announce Type: new Abstract: Flapping-wing vehicles regulate aerodynamic forces and moments through coordinated variations in stroke, deviation, and pitch motion. Because the resulting loads depend on both the…
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Locomotion-Grounded Humanoid Soccer: Task-Gated Reinforcement Learning of a Multi-Directional Kicking Library
arXiv cs.RO (Robotics)
arXiv:2609.38852v1 Announce Type: new Abstract: Recent humanoid soccer systems make motion tracking the substrate and derive locomotion from it, typically by steering a motion-reference anchor toward the ball. This yields strong shooting…
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Optimize, Learn, Refine: Whole-Body Grasping and Pick-and-Throw with a Spiral Soft Robot
arXiv cs.RO (Robotics)
arXiv:2609.38202v1 Announce Type: new Abstract: Soft continuum robots can exploit distributed compliance for whole-body manipulation, but synthesizing behavior through changing contacts remains difficult. We address whole-body grasping and…
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Diffusion-2BC: Hybrid Diffusion and Regression Training for Offline Behavior Cloning in Autonomous Driving
arXiv cs.RO (Robotics)
arXiv:2609.38472v1 Announce Type: new Abstract: Behavior cloning provides an offline route to autonomous-driving policy learning, but mean-squared-error regression is poorly matched to demonstrations in which one observation admits several…
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Correcting WHERE, Preserving HOW: Compositional Generalization for Vision-Language-Action Models via Referential Guidance
arXiv cs.RO (Robotics)
arXiv:2609.38616v1 Announce Type: new Abstract: While Vision-Language-Action (VLA) models enable flexible action generation, their generalization across diverse environmental elements, including manipulated objects, destinations, and…
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Yggdrasil: a Layer-First 3D Scene Graph for Real-Time Querying
arXiv cs.RO (Robotics)
arXiv:2609.38640v1 Announce Type: new Abstract: Robotic agents use 3D scene graphs (3DSG) to perform tasks ranging from scene understanding to scene interaction. Although an extensive body of work addresses scene graph generation, little…
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BIM Informed Visual SLAM for Construction Environments
arXiv cs.RO (Robotics)
arXiv:2509.13972v4 Announce Type: replace Abstract: Monitoring building construction sites requires comparing the as-planned design with the as-built state, which can be estimated in real time using Simultaneous Localization and Mapping…
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TERRA: Terrain-Aware Reconstruction, Retargeting and Control for Musculoskeletal Locomotion
arXiv cs.RO (Robotics)
arXiv:2609.38653v1 Announce Type: new Abstract: Recent advances in musculoskeletal modeling and reinforcement learning have enabled muscle-actuated agents to reproduce increasingly complex human motions. Yet these capabilities remain…
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FlapKAD: A Simulation Dataset of Coupled Wing Kinematics and Aerodynamic Dynamics for Flapping-Wing Aerial Vehicles
arXiv cs.RO (Robotics)
arXiv:2609.38719v1 Announce Type: new Abstract: Experimental investigation and modeling of flapping-wing aerial vehicles are limited by the scarcity of large-scale records that temporally align wing kinematics, aerodynamic responses, and…
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Coral Grow-out Robotic Assessment System (CGRAS): Scaling Coral Recruit Monitoring Through Robotics and Computer Vision
arXiv cs.RO (Robotics)
arXiv:2609.38846v1 Announce Type: new Abstract: Climate change is the largest threat to coral reefs, with increasing global impacts accelerating the need for scalable reef restoration technologies. Large-scale reef restoration depends on…
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Online Evolution Strategy for Flow-Matching VLA Policies via Self-Supervised Trajectory Distribution Optimization
arXiv cs.RO (Robotics)
arXiv:2609.38855v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models based on generative frameworks, such as Flow Matching, have recently achieved impressive performance in robotic manipulation. Unlike deterministic…
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NEXUS: Perceptive Whole-Body Control for Terrain-Adaptive Teleoperation
arXiv cs.RO (Robotics)
arXiv:2609.39000v1 Announce Type: new Abstract: Whole-body teleoperation requires a humanoid robot to reproduce a human operator's behavior even when their terrains differ. This demands that the robot perceive local terrain and adapt its…
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CLIPPER Beyond Shortlisting: Auditable Decision Support for Changing Municipal Micromobility Policies
arXiv cs.RO (Robotics)
arXiv:2609.39054v1 Announce Type: new Abstract: In municipal planning workshops, planners and other stakeholders compare shared-micromobility parking policies by varying no-parking zones, retained sites, spacing, or area allocations. Each…
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FORTE: Forecasting Occupancy for Spatiotemporal Risk-Aware Planning in Dynamic Environments
arXiv cs.RO (Robotics)
arXiv:2609.39305v1 Announce Type: new Abstract: Safe navigation in dynamic environments requires anticipating future environmental states to account for spatiotemporal risks, specifically when and where collisions may occur. To this end…
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Prediction is Better than Detection: Traffic Congestion Control using Drones
arXiv cs.RO (Robotics)
arXiv:2609.39637v1 Announce Type: new Abstract: A central question in deploying teams of mobile robots for persistent monitoring is how task performance scales with fleet size, and whether this scaling holds once sensing drives downstream…
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From Local Whole-Body VLA Behaviors to Scene-Scale Aerial Manipulation
arXiv cs.RO (Robotics)
arXiv:2609.39670v1 Announce Type: new Abstract: Vision-language-action (VLA) models enable task-conditioned interaction, but extending them to scene-scale aerial manipulation remains challenging due to costly whole-body demonstrations…
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Magic-W0: A Structured World-Action Foundation Model for Physical Intelligence
arXiv cs.RO (Robotics)
arXiv:2609.39870v1 Announce Type: new Abstract: World-action models (WAMs) augment robot policies with action-conditioned environment dynamics, yet existing approaches largely rely on future observation reconstruction or generic latent…
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Magnetic based In-situ Self 3D Pose Estimation for a Modular Soft Tendon-Driven Continuum Robot via IMU-Fusion
arXiv cs.RO (Robotics)
arXiv:2609.39950v1 Announce Type: new Abstract: Continuum robots are well suited for gentle manipulation because of their inherent compliance and ability to adapt to complex environments. However, their continuously deformable structure…
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Rethinking Legibility in Social Robot Hallway Navigation: Impact of Intent Representation and Human Distraction
arXiv cs.RO (Robotics)
arXiv:2609.40158v1 Announce Type: new Abstract: We focus on legible robot motion generation in social navigation settings. Legibility in human-robot interaction (HRI) is often described as the property of robot motion that enables an…
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Social-WM: Safety-Aware Latent World Models for Robot Social Navigation
arXiv cs.RO (Robotics)
arXiv:2609.40177v1 Announce Type: new Abstract: Safe social navigation requires a robot to anticipate not only the future consequences of its actions, but also whether a nominal action can actually be executed under surrounding physical…
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Non-Invasive Inspection of Water Canals Using Dronar
arXiv cs.RO (Robotics)
arXiv:2609.40178v1 Announce Type: new Abstract: Open concrete canals play a vital role in water transportation, serving as primary water infrastructure for millions of people across the Phoenix, Arizona, metro area. Over time, the concrete…
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Centralized Multi-UAV Exploration and 3D Reconstruction Using Single-UAV Planners
arXiv cs.RO (Robotics)
arXiv:2609.40208v1 Announce Type: new Abstract: Extending single Unmanned Aerial Vehicles (UAVs) exploration methods to multi-UAV teams can improve coverage speed and robustness, but introduces challenges such as consistent mapping, safe…
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Learning to Plan from Random Exploration
arXiv cs.RO (Robotics)
arXiv:2609.38383v1 Announce Type: cross Abstract: Random exploration reveals how an environment can be traversed before a goal is specified. Can this experience support long-range planning without policy-improvement training? Our…
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HIGS: Hierarchical Implicit Grids for Joint Geometric and Semantic Scene Understanding
arXiv cs.RO (Robotics)
arXiv:2609.38620v1 Announce Type: cross Abstract: Neural implicit representations have had a significant impact on scene reconstruction by enabling robots to build continuous, differentiable, and high-fidelity 3D maps. Most existing works…
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Matisse: Evidence-Space Reasoning for Active 3D Reconstruction
arXiv cs.RO (Robotics)
arXiv:2609.38746v1 Announce Type: cross Abstract: How can a 3D reconstruction system acquire and retain useful information to understand the geometry of a scene from partial views under a limited computation budget? Existing active view…
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NavHarness: Adaptive Goals for Agentic Vision-Language Navigation
arXiv cs.RO (Robotics)
arXiv:2609.39915v1 Announce Type: cross Abstract: Vision-Language Navigation (VLN) requires embodied agents to generate actions based on instructions and observations. General-purpose multimodal agents offer a promising basis for this…
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Learning-Based Progressive Barrier Control for Robot Manipulators with Initial Errors Outside Prescribed Tracking Bounds
arXiv cs.RO (Robotics)
arXiv:2503.14669v2 Announce Type: replace Abstract: Robot manipulators may start a new task with a tracking error larger than the prescribed tolerance. Conventional barrier controllers generally require the initial error to lie within this…
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Spotlighting Task-Relevant Features: Object-Centric Representations for Better Generalization in Robotic Manipulation
arXiv cs.RO (Robotics)
arXiv:2601.21416v4 Announce Type: replace Abstract: The generalization capabilities of robotic manipulation policies are heavily influenced by the choice of visual representations. Existing approaches typically rely on representations…
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Scaling Sim-to-Real VLA Reinforcement Learning with Generative 3D Worlds
arXiv cs.RO (Robotics)
arXiv:2603.18532v4 Announce Type: replace Abstract: The strong performance of large vision-language models (VLMs) trained with reinforcement learning (RL) has motivated similar approaches for fine-tuning vision-language-action (VLA) models…
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Learning High-Risk High-Precision Motion Control
arXiv cs.RO (Robotics)
arXiv:2609.34851v2 Announce Type: replace-cross Abstract: Deep reinforcement learning (DRL) algorithms for movement control are typically evaluated and benchmarked on sequential decision tasks where imprecise actions may be corrected with…
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WB-WAM: Heterogeneous Body-Hand Pre-training for Humanoid Loco-Manipulation
arXiv cs.RO (Robotics)
arXiv:2609.34199v2 Announce Type: replace Abstract: Humanoid loco-manipulation demands coordinated body and hand behavior, while conventional robot pre-training data provide limited coverage of such whole-body motion. We present WB-WAM, a…
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Uni-VLaT: Whole-Body Tactile Adaptation of VLA Policies for Humanoid Loco-Manipulation
arXiv cs.RO (Robotics)
arXiv:2609.35450v2 Announce Type: replace Abstract: Physical contact often determines how a humanoid should respond during loco-manipulation, yet vision and proprioception alone are often insufficient to characterize physical interaction…
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RoboHarn-Evo: Evolving Hierarchical Physical Knowledge for Self-Improving Robotic Manipulation
arXiv cs.RO (Robotics)
arXiv:2609.37583v2 Announce Type: replace Abstract: Vision-language models can coordinate long-horizon robot manipulation, yet successful task reasoning still depends on whether local physical interactions produce the intended effects. We…
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Interp3R: Continuous-time 3D Geometry Estimation with Frames and Events
arXiv cs.RO (Robotics)
arXiv:2603.14528v3 Announce Type: replace-cross Abstract: In recent years, 3D visual foundation models, pioneered by pointmap-based approaches such as DUSt3R, have attracted a lot of interest, achieving impressive accuracy and strong…
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A Mathematical Theory of Pragmatic Information
arXiv cs.RO (Robotics)
arXiv:2609.10986v4 Announce Type: replace-cross Abstract: We propose a mathematical theory of pragmatic information that connects communication, control, and decision-making. Its central notion is the isoteleia mapping, which formalizes…
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Ego4WAM: What Matters When Scaling Egocentric Human Data for Robot Learning?
arXiv cs.RO (Robotics)
arXiv:2609.40341v1 Announce Type: new Abstract: Egocentric human data provides a scalable source of experience for robot learning, but varies substantially in human-robot alignment, behavioral coverage, and available supervision. Existing…
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An Real-Sim-Real (RSR) Loop Framework for Generalizable Robotic Policy Transfer
arXiv cs.RO (Robotics)
arXiv:2503.10118v3 Announce Type: replace Abstract: The sim-to-real gap remains a critical challenge in robotics, hindering the deployment of algorithms trained in simulation to real-world systems. We propose a flexible Real-to-Sim-to-Real…
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Fiatlux: A Long-Horizon Benchmark for Humanoid Ladder Climbing and Light-Bulb Replacement
arXiv cs.RO (Robotics)
arXiv:2609.38216v1 Announce Type: new Abstract: Existing benchmarks evaluate tabletop manipulation, flat-floor household activity, or humanoid locomotion and manipulation as separate task groups; none scores vertical mobility and dexterous…
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TCBiRRT: Rapid Motion Planning for Tightly Coupled Dual-arm Space Manipulator Using Task-space Random Expansion
arXiv cs.RO (Robotics)
arXiv:2605.27167v2 Announce Type: replace Abstract: Planning the motion path for a tightly coupled dual-arm space manipulator under closed-chain constraints is a fundamental yet challenging problem in on-orbit assembly of large-scale space…
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UniWAM Technical Report: Unified Mobile Manipulation via Mixed-Stream World-Action Modeling and Manipulation Anchor Pose Supervision
arXiv cs.RO (Robotics)
arXiv:2609.39388v1 Announce Type: new Abstract: Mobile manipulation requires precise navigation to a manipulation-ready pose followed by reliable object interaction. These two stages differ in action spaces and visual requirements, which…
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BatSLAM 2.0: Sequence-Verified Sonar Place Recognition in a Robust Pose Graph
arXiv cs.RO (Robotics)
arXiv:2609.40085v1 Announce Type: new Abstract: Echolocating bats can navigate dark and cluttered spaces using echolocation. Over a decade ago, BatSLAM showed that a robot with a biomimetic binaural sonar can build a topological map of the…
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Beyond the Current Scene: Event-Referential Grasping with Active View Selection
arXiv cs.RO (Robotics)
arXiv:2609.39375v1 Announce Type: new Abstract: A robot that observes people interacting with objects should be able to carry out later requests that refer back to those interactions. Such requests may specify a grasp target by the role it…
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Communication-Free Distributed Multi-Robot Task Allocation under Partial Observations Using Labeled Multi-Bernoulli Filtering
arXiv cs.RO (Robotics)
arXiv:2609.39416v1 Announce Type: new Abstract: This paper proposes a communication-free multi-robot task allocation framework based solely on local observations. In this study, tasks are defined as reaching target locations. Each robot…
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TO-mdiSPAs: Topology Optimization of multi-directional Soft Pneumatic Actuators
arXiv cs.RO (Robotics)
arXiv:2609.39618v1 Announce Type: new Abstract: Soft pneumatic actuators (SPAs) are highly promising and have been extensively explored within the field of soft robotics. Under pneumatic pressure loads, an SPA undergoes bending deformation…
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Unified Optimality Conditions for Stochastic Optimal Control in the Rough Path and It\^o Frameworks
arXiv cs.RO (Robotics)
arXiv:2609.38395v1 Announce Type: cross Abstract: Stochastic differential equations (SDEs) can be studied via It\^{o} calculus and rough path theory. For stochastic optimal control, these two frameworks give distinct Pontryagin Maximum…
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SynIL: Leveraging Synergy for Offline Imitation Learning from Imperfect Demonstration Datasets
arXiv cs.RO (Robotics)
arXiv:2609.38225v1 Announce Type: new Abstract: Imitation learning enables robots to acquire complex skills directly from massive demonstration datasets, but its performance degrades severely when datasets are contaminated with suboptimal…
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What to Attend, What to Keep: Skill-Conditioned Visuotactile Representation with Progress-Guided Event Memory
arXiv cs.RO (Robotics)
arXiv:2609.38494v1 Announce Type: new Abstract: Robotic manipulation integrates vision, touch, and language, whose importance shifts across stages: vision guides reaching, while touch, through its evolution over time, decides grasping…
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Onboard Vision and MPC Navigation for Underwater Robots: An Open BlueROV2 Platform for Multi-Robot Experiments ＆ Docking
arXiv cs.RO (Robotics)
arXiv:2609.38511v1 Announce Type: new Abstract: Autonomous underwater robots require robust perception, estimation and control to operate in confined environments. This paper presents an open-source BlueROV2 platform combining onboard…
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Drone Soccer: Learning to Manipulate with Multicopter Downwash
arXiv cs.RO (Robotics)
arXiv:2609.38588v1 Announce Type: new Abstract: Although multicopter drones are traditionally designed for "perception-only" tasks, like mapping and exploration, recent work has sought to develop Unmanned Aerial Manipulators (UAMs) to…
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Plan-Conditioned Imitation for Robust Object Retrieval under Self-Occlusion in Dense Clutter
arXiv cs.RO (Robotics)
arXiv:2609.38857v1 Announce Type: new Abstract: Retrieving objects from dense clutter requires rearrangement during which the manipulator can occlude objects while moving them. Repeated arm withdrawals to restore visibility interrupt…
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Benchmarking and Enhancing Skill-Level Memory for Partially Observable Robotic Manipulation
arXiv cs.RO (Robotics)
arXiv:2609.38886v1 Announce Type: new Abstract: Recent advances in robot learning have enabled manipulation policies to perform increasingly diverse tasks and generalize across environments. However, reliable execution often depends on…
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Sparse-WAM: Accelerating World Action Models via Action-Guided Sparse Imagination
arXiv cs.RO (Robotics)
arXiv:2609.38984v1 Announce Type: new Abstract: World-action models (WAMs) leverage pretrained video models to improve generalization in robot control by jointly predicting future visual states and actions. This capability comes at a…
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Blackout vs. Freeze: Analyzing Physical Failure Modes of VLAs under Camera Faults
arXiv cs.RO (Robotics)
arXiv:2609.39145v1 Announce Type: new Abstract: Unreliable visual inputs can harm task performance and cause potential physical safety risks for vision-language-action (VLA) models. We analyze how $\pi 0.5$ and GR00T models act under input…
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Occlusion-Aware, Quasi-Static, Stability-Oriented Trajectory Planning on Uneven Terrain
arXiv cs.RO (Robotics)
arXiv:2609.39105v1 Announce Type: new Abstract: Autonomous navigation in unstructured off-road environments requires reasoning about both vehicle--terrain interaction and environmental unknowns. We propose a model-based framework for…
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MotionWeave: Learning Motion-Centered Future Dynamics for Vision-Language-Action Policies
arXiv cs.RO (Robotics)
arXiv:2609.39324v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models have recently incorporated world models to provide richer dynamic supervision beyond sparse action labels. However, explicitly predicting future images or…
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RoboCoach: World Models as Active Coaches for Compositional Robot Skills
arXiv cs.RO (Robotics)
arXiv:2609.39685v1 Announce Type: new Abstract: Long-horizon robot manipulation reuses skills across many task compositions, but improving these compositions with additional end-to-end demonstrations is costly. A practical self-improving…
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PrefPI: Preference-Guided Steering into Out-of-Distribution Behaviors
arXiv cs.RO (Robotics)
arXiv:2609.40165v1 Announce Type: new Abstract: We present PrefPI (Preference-Guided Policy Iteration), an iterative framework for steering pretrained generative robot policies using only relative preferences over self-generated…
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Combinatorial Optimization of Robotic Hand Kinematic Structures Using a Potential-Dexterity-Based QUBO Formulation
arXiv cs.RO (Robotics)
arXiv:2605.15510v2 Announce Type: replace Abstract: Robotic hand kinematic design involves combinatorial selection among multiple finger structures whose performance depends on both individual kinematic characteristics and inter-finger…
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Arm2Air: Cross-Embodiment Skeleton Transfer for 3D Relay Formation
arXiv cs.RO (Robotics)
arXiv:2607.27627v2 Announce Type: replace Abstract: Unmanned aerial vehicle (UAV) relay networks can restore connectivity after communication infrastructure is damaged. Urban relay placement is difficult because line-of-sight blockage…
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mmHRI: Towards Privacy-Preserving Human-Robot Interaction with Millimeter-Wave Radar
arXiv cs.RO (Robotics)
arXiv:2609.34220v2 Announce Type: replace Abstract: Assistive robots increasingly operate in many human-centered environments and perform various human-robot interaction (HRI) tasks, such as object delivery. However, most existing HRI…
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Language-Conditioned World Modeling for Visual Navigation
arXiv cs.RO (Robotics)
arXiv:2603.26741v2 Announce Type: replace-cross Abstract: Goal-conditioned visual navigation has been a long-standing testbed for embodied AI. We study a natural language-conditioned variant, language-conditioned visual navigation (LCVN)…
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XEmbodied: A Foundation Model with Enhanced Geometric and Physical Cues for Large-Scale Embodied Environments
arXiv cs.RO (Robotics)
arXiv:2604.18484v2 Announce Type: replace-cross Abstract: Vision-Language-Action (VLA) models drive next-generation autonomous systems, but training them requires scalable, high-quality annotations from complex environments. Current cloud…
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CoDimRecon: Agentic Reconstruction of Sim-Ready 3D Scenes with Deformable Curves, Surfaces, and Volumes
arXiv cs.RO (Robotics)
arXiv:2609.36024v2 Announce Type: replace-cross Abstract: Reconstructing simulation-ready 3D scenes from real-world observations enables robotics, gaming, and immersive applications, yet existing methods largely assume rigid objects. This…
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Memorize, Adapt, Ignore: Diagnosing Robot Learning Mechanisms under Training Data Variation
arXiv cs.RO (Robotics)
arXiv:2609.38401v1 Announce Type: new Abstract: Training data variation, whether through designing a domain randomization (DR) scheme in simulation or curating demonstrations for imitation learning, is a primary lever for improving the…
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ASENA: Self-evolving Agents for Embodied Navigation
arXiv cs.RO (Robotics)
arXiv:2609.39207v1 Announce Type: new Abstract: We present ASENA, an embodied agent system that connects general-purpose coding agents to robot sensing, computation, supervised execution, and persistent experience. Agents can write and…
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Fast and Scalable Multi-Agent Distribution Matching via Partitioned Optimal Transport
arXiv cs.RO (Robotics)
arXiv:2609.38960v1 Announce Type: cross Abstract: This paper presents a scalable optimal-transport-based framework for terminal distribution matching in multi-agent systems. While optimal transport provides a natural way to measure…
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Divide and Collapse: MAPF-Collapse via Exact Decomposition into Independent Sub-Instances
arXiv cs.RO (Robotics)
arXiv:2609.39559v1 Announce Type: cross Abstract: In this work we study the problem of MAPFC, a post-optimization step for Multi-Agent Path Finding (MAPF) plans where we are given a feasible plan produced by a modern MAPF solver and are…
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EWAM: Emergent Depth-Wise Specialization in a Unified Embodied Model -- From Semantic Understanding through Visual Foresight to Action
arXiv cs.RO (Robotics)
arXiv:2609.39973v1 Announce Type: new Abstract: Vision-language-action (VLA) policies emphasize semantic understanding, whereas world-action models (WAMs) learn predictive representations of environment dynamics. Systems that expose a…
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LBDU-VIO: Learned Bias Dynamics and Uncertainty for Visual-Inertial Odometry with Unreliable Vision
arXiv cs.RO (Robotics)
arXiv:2609.39125v1 Announce Type: new Abstract: Visual-inertial odometry (VIO) for aerial robots relies on high rate inertial measurement unit (IMU) propagation between visual updates. However, conventional multi state constraint Kalman…
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CADeT: Causal-Aware Deformation Transmission for Indirect Robotic Manipulation of Soft Tissue
arXiv cs.RO (Robotics)
arXiv:2609.38483v1 Announce Type: new Abstract: Indirect manipulation of deep-seated deformable anatomy inaccessible to the robot is challenging in robot-assisted minimally invasive surgery (RAMIS) because intervening tissues spatially…
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PRICE the Action Chunks: Physical Relational Credit Assignment for Embodied Reinforcement Learning
arXiv cs.RO (Robotics)
arXiv:2609.38890v1 Announce Type: new Abstract: Outcome-based reinforcement learning (RL) post-trains vision--language--action policies using terminal success signals, but assigns the same trajectory-level advantage to every action chunk…
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Concurrent Semantic Search and Mission Execution for LTL Missions in Unknown Environments
arXiv cs.RO (Robotics)
arXiv:2609.39153v1 Announce Type: new Abstract: Planning complex missions in unknown environments requires robots to reason simultaneously about what they should do and what they still need to discover. Existing approaches for solving LTLf…
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ReWAM: Reciprocal World Action Models for Interactive Autonomous Driving
arXiv cs.RO (Robotics)
arXiv:2609.39245v1 Announce Type: new Abstract: In interactive scenarios, an autonomous driving system is required to generate ego actions under the influence of other agents' behaviors. Existing World Action Models (WAMs) typically model…
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GPU-Accelerated Path-Dependent Marginal Information Gain for Autonomous Exploration
arXiv cs.RO (Robotics)
arXiv:2609.40297v1 Announce Type: new Abstract: Autonomous exploration demands that robots continuously evaluate candidate viewpoints based on their expected information gain and execution cost. Sampling-based planners estimate this gain…
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BIND: Binding 3D Robot Actions to 2D Image Features
arXiv cs.RO (Robotics)
arXiv:2609.38443v1 Announce Type: new Abstract: We introduce BIND, a new action representation for visuomotor robot policies that binds 3D robot actions to their corresponding 2D image features, yielding strong data efficiency gains and…
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Active Mapping of Underwater Litter Using Camera-Sonar Fusion
arXiv cs.RO (Robotics)
arXiv:2609.39898v1 Announce Type: new Abstract: Marine litter is a growing threat to the underwater ecosystem, driving demand for autonomous survey methods that can locate debris efficiently over large areas. Existing survey methods…
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GroundingPI: A Grounding Foundation Model towards Physical Intelligence with Visual Primitives
arXiv cs.RO (Robotics)
arXiv:2609.39601v1 Announce Type: cross Abstract: Precise grounding matters. It specifies which object is the target and where that object is, even in clutter and for tiny objects, and it has to be fast enough for closed-loop control. Yet…
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StreamRig: Exploiting Intra-Rig Geometry for Streaming Multi-Camera Odometry
arXiv cs.RO (Robotics)
arXiv:2609.40244v1 Announce Type: cross Abstract: Mobile robots and vehicles carry synchronized multi-camera rigs, yet many streaming 3D foundation models are designed for monocular input, leaving efficient use of rig geometry a challenge…
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Belief-Aware Multi-Agent Path Finding under Map Uncertainty
arXiv cs.RO (Robotics)
arXiv:2609.40269v1 Announce Type: cross Abstract: Multi-Agent Path Finding (MAPF) aims to find collision-free paths for multiple agents in a shared environment. Classical MAPF assumes that all static obstacles are known in advance, but…
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MomWorld: Momentum-Aware Latent World Model for Long-Horizon Autonomous Driving
arXiv cs.RO (Robotics)
arXiv:2609.33737v2 Announce Type: replace Abstract: Long-horizon planning enables autonomous vehicles to anticipate scene evolution and potential risks, supporting safe and stable decisions in complex interactions. However, existing…
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Tactile Curiosity Drives Robot Interaction
arXiv cs.RO (Robotics)
arXiv:2609.40134v1 Announce Type: new Abstract: Mastering robot manipulation skills via reinforcement learning (RL) remains largely sample-inefficient. The most common RL algorithms rely on random action sampling to discover new…
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Bridge-WA: Learning Action-Relevant World Dynamics for Robotic Manipulation
arXiv cs.RO (Robotics)
arXiv:2607.02195v2 Announce Type: replace Abstract: General-purpose VLA models leverage large-scale vision-language priors to understand scenes and instructions, but primarily generate actions directly from the current observation. WAMs…
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rMuscle: Robotic Muscle Memory for Efficient Vision-Language-Action Model Inference
arXiv cs.RO (Robotics)
arXiv:2609.19104v2 Announce Type: replace Abstract: Factory work is a promising early scenario for embodied AI: assigning repetitive manual jobs to robots has clear economic payoff, and a structured station keeps the jobs tractable for…
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ATLAS: Aligned Transport of Latent Structure for Reliable World Model Planning
arXiv cs.RO (Robotics)
arXiv:2609.36333v2 Announce Type: replace Abstract: Latent world models rely on representation geometry for planning, yet regularizing the latent marginal alone does not determine the state-to-state relationships used for action selection…
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EgoAlign: Bridging the Human-Humanoid Gap for Long-Range Loco-Manipulation
arXiv cs.RO (Robotics)
arXiv:2609.38046v2 Announce Type: replace Abstract: Egocentric human demonstrations offer an accessible source of task experience, but differences in body scale and controller response, together with missing robot states, limit their value…
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Refusals That Bend: Measuring and Predicting Task Malleability in Embodied VLM Planners
arXiv cs.RO (Robotics)
arXiv:2609.38971v1 Announce Type: cross Abstract: Embodied vision-language models (VLMs) are increasingly deployed as high-level planners for robots because they generalize across diverse environments. However, this requires their safety…