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Robotics & Automation

Robotics & Automation news — Wednesday 07 October 2026

150 stories from 4 sources, every one in English. Each links to its publisher.

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  1. PTC acquisition positions Schneider Electric to challenge Siemens
    USRobotics Business Review

    PTC’s Creo CAD supports complex 3D product design and is available through Creo+, its SaaS offering. Source: PTC Global energy company Schneider Electric this week said it will acquire industrial design, engineering, and data management…

  2. PTC acquisition positions Schneider Electric to challenge Siemens
    USThe Robot Report

    PTC’s Creo CAD supports complex 3D product design and is available through Creo+, its SaaS offering. Source: PTC Global energy company Schneider Electric this week said it will acquire industrial design, engineering, and data management…

  3. Teradyne Robotics, Elite Robots settle cobot dispute
    USRobotics Business Review

    Teradyne claimed that Elite Robots’ cobots (above) and software were similar to its own. Credit: Elite Robots Teradyne Robotics and Elite Robots have reached a mutual agreement resolving a legal dispute over robots and software, bringing…

  4. Teradyne Robotics, Elite Robots settle cobot dispute
    USThe Robot Report

    Teradyne claimed that Elite Robots’ cobots (above) and software were similar to its own. Credit: Elite Robots Teradyne Robotics and Elite Robots have reached a mutual agreement resolving a legal dispute over robots and software, bringing…

  5. HiPHI: A Large-Scale Benchmark for High-Precision Human Motion and Object Interaction
    USIEEE Spectrum Robotics

    This White Paper gives robotics researchers and engineers an overview of a new large-scale motion capture dataset built to close the data gap limiting humanoid robot learning. It also shows how policies trained on the dataset transfer to a…

  6. Harmonic Drive to share how integrated actuators can reduce engineering at RoboBusiness
    USRobotics Business Review

    The RSF-5B IDT Sumpermini actuator with an integrated servo drive. | Source: Harmonic Drive Selecting the right motion architecture is one of the most important design decisions in robotics. At RoboBusiness 2026, Marcel Almonte, a…

  7. Harmonic Drive to share how integrated actuators can reduce engineering at RoboBusiness
    USThe Robot Report

    The RSF-5B IDT Sumpermini actuator with an integrated servo drive. | Source: Harmonic Drive Selecting the right motion architecture is one of the most important design decisions in robotics. At RoboBusiness 2026, Marcel Almonte, a…

  8. Humanoid Horizon: Extending Task Horizon in Whole-Body Loco-Manipulation via Parallel Training, Dynamic Starting, and Reward Gating
    USarXiv cs.RO (Robotics)

    arXiv:2610.08320v1 Announce Type: new Abstract: Cluttered indoor environments, where large and heavy objects are scattered across diverse surfaces, require humanoid robots to sequentially navigate, grasp, transport, and accurately place…

  9. WareFly-VLA: A Vision-Language-Action Framework for UAV Navigation and Human Tracking in Smart Warehouses
    USarXiv cs.RO (Robotics)

    arXiv:2610.08526v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models have achieved impressive results in robotic manipulation and ground-mobile navigation, yet language-conditioned control of unmanned aerial vehicles (UAVs)…

  10. Towards an Extensible Benchmark for Spoken Dialogue with Social Robots
    USarXiv cs.RO (Robotics)

    arXiv:2610.08733v1 Announce Type: new Abstract: Language models provide a plug-and-play interface between humans and robots, but important challenges remain when speech, dialogue, fast interaction, and collaboration are required. We…

  11. PEARS: Physical-Prior-Guided Efficient Adaptation via Failure Reasoning and Diffusion Steering for Tactile Manipulation
    USarXiv cs.RO (Robotics)

    arXiv:2610.08784v1 Announce Type: new Abstract: Pretrained robotic policies can suffer substantial performance degradation under out-of-distribution (OOD) conditions encountered during deployment, motivating post-training through…

  12. Contact Modes Are Strata: What Geometric Structure Buys in Discrete-Continuous Planning
    USarXiv cs.RO (Robotics)

    arXiv:2608.15541v2 Announce Type: replace Abstract: Contact-rich manipulation poses a discrete question and a continuous one at once, namely which contacts are active and how to move while they hold. The two are coupled by a change of…

  13. Beyond Data Scaling: Representation-Centric Continued Pre-training for Vision-Language-Action Models
    USarXiv cs.RO (Robotics)

    arXiv:2608.27550v2 Announce Type: replace Abstract: Scaling robot data is crucial for building generalist Vision-Language-Action (VLA) models, yet robot trajectories are harder to scale than web-scale image-text data because embodied…

  14. FedGuide: Diffusion Prior Alignment and Value Baseline Guidance for Heterogeneous Federated Reinforcement Learning
    USarXiv cs.RO (Robotics)

    arXiv:2609.18964v2 Announce Type: replace-cross Abstract: Federated Reinforcement Learning (FRL) enables collaborative policy learning across distributed agents with heterogeneous environments. While recent methods based on variance…

  15. PointZero: 3D Point Track Completion for Learning Transferable 3D Dynamics
    USarXiv cs.RO (Robotics)

    arXiv:2609.19142v2 Announce Type: replace-cross Abstract: World models endow perceptual systems with the ability to predict how scenes evolve under interaction. They are most beneficial when trained on diverse volumes of data, to instill a…

  16. Pareto-Optimal Entropy-Regularized Trajectory Optimization
    USarXiv cs.RO (Robotics)

    arXiv:2610.08532v1 Announce Type: new Abstract: Trajectory optimization (TO) under nonlinear dynamics, actuation limits and collision avoidance constraints is a fundamental problem in robotics, albeit especially challenging due to its…

  17. Compact Robot Policies Need Fine-Grained Visual Representations
    USarXiv cs.RO (Robotics)

    arXiv:2610.08183v1 Announce Type: new Abstract: Multi-task manipulation policies differ in architecture, scale, and pretrained priors all at once, so published comparisons cannot attribute performance to any single component. We argue that…

  18. RMRRT: Riemannian Barrier Metric RRT for Inequality-Aware Steering on Equality Manifolds
    USarXiv cs.RO (Robotics)

    arXiv:2610.06863v1 Announce Type: new Abstract: This paper presents a motion planning framework that unifies equality and inequality constraints within a single geometric formulation for sampling-based planning in high-dimensional robotic…

  19. Learning Modular Policy for Multi-Floor Object Navigation:A Factorized Framework for Diagnostic Study
    USarXiv cs.RO (Robotics)

    arXiv:2610.06958v1 Announce Type: new Abstract: Object-goal navigation (ObjectNav) in multi-floor scenarios presents a challenge due to sparse rewards caused by long-horizon decision-making. In this paper, we propose a diagnostic study…

  20. LEAP: Making Privileged Geometry Supervision Effective for Visuomotor Learning
    USarXiv cs.RO (Robotics)

    arXiv:2610.07015v1 Announce Type: new Abstract: Privileged 3D supervision uses additional geometric information during training to guide RGB-based visuomotor policy learning, without requiring geometric inputs at deployment. However, low…

  21. RoboCap: A New Platform for Egocentric Robot Learning
    USarXiv cs.RO (Robotics)

    arXiv:2610.07217v1 Announce Type: new Abstract: Despite its promise for scaling robot learning, egocentric manipulation data is still scarce today. Collection at scale requires vertically integrating ergonomic hardware with…

  22. Lego-Like Stiffness Configuration of Planar Compliant Modules for Task-Specific Flexible Interfaces
    USarXiv cs.RO (Robotics)

    arXiv:2610.07319v1 Announce Type: new Abstract: Compliant mechanisms provide compact and intrinsic structural compliance for regulating physical interactions between mechanisms and environments. However, different tasks demand distinct…

  23. Entropy-Gated Belief Coordination for Decentralized Multi-Agent Search Under Intermittent Communication
    USarXiv cs.RO (Robotics)

    arXiv:2610.07432v1 Announce Type: new Abstract: We study decentralized multi-agent target search where homogeneous agents communicate intermittently at Poisson-distributed times. Standard unconditional belief fusion wastes communication…

  24. BiGym 2.0: Benchmarking Learned and Agent-Developed Policies for Humanoid Household Manipulation
    USarXiv cs.RO (Robotics)

    arXiv:2610.07594v1 Announce Type: new Abstract: Humanoid household manipulation requires the arms to act while the body balances, steps and changes posture. We present BiGym 2.0, an adaptation of BiGym for the Unitree G1 across 20…

  25. The Robot Is Not Its Description: GaugeBench for Representation Robustness in Morphology-Aware Policies
    USarXiv cs.RO (Robotics)

    arXiv:2610.07597v1 Announce Type: new Abstract: A robot description does more than specify a physical mechanism: it also encodes arbitrary conventions, such as joint-axis direction, joint-angle zero, and the order and names of links and…

  26. Vector Map Quality Metrics for Contextual Autonomous Driving Systems
    USarXiv cs.RO (Robotics)

    arXiv:2610.08043v1 Announce Type: new Abstract: Ensuring safety in autonomous driving requires continuous map maintenance supported by reliable quality indicators. In this context, it is crucial to identify when and where map updates…

  27. MIM-VLA: Learning Physical Interaction Representations from Gripper Motor Feedback
    USarXiv cs.RO (Robotics)

    arXiv:2610.08425v1 Announce Type: new Abstract: Vision-language-action (VLA) policies infer grasp actions primarily from visual observations and robot state, but do not explicitly represent the physical response observed after contact. We…

  28. NMPP: Nonlinear Model Predictive Planning for Agile UAV Flight in Cluttered Environments
    USarXiv cs.RO (Robotics)

    arXiv:2610.08695v1 Announce Type: new Abstract: Flying a quadrotor through a cluttered environment requires not only planning a collision-free reference trajectory based on perceived obstacles, but the reference also needs to be…

  29. EgoLAP: Learning from Egocentric Human Data through Language-Action Reasoning
    USarXiv cs.RO (Robotics)

    arXiv:2610.08726v1 Announce Type: new Abstract: Egocentric human data offer a path to scaling robot learning beyond costly robot demonstrations, yet the embodiment gap makes raw human trajectories a poor supervisory target for control. Our…

  30. FingerEye: Learning Dexterous Manipulation with Continuous Vision-Tactile Sensing
    USarXiv cs.RO (Robotics)

    arXiv:2604.20689v4 Announce Type: replace Abstract: Dexterous robotic manipulation requires perception that remains informative from pre-contact approach to contact initiation and post-contact control. We introduce FingerEye, a sensing and…

  31. FineART: Fine-Grained Annotated Robotic Trajectory Dataset and Vision-Language-Action Model for Bimanual Manipulation
    USarXiv cs.RO (Robotics)

    arXiv:2609.36416v3 Announce Type: replace Abstract: Robots operating in real-world environments must often execute complex, multi-step bimanual tasks over long horizons rather than single, isolated actions. Current manipulation datasets…

  32. Completion Aware Guidance for World Action Models
    USarXiv cs.RO (Robotics)

    arXiv:2610.01559v2 Announce Type: replace Abstract: World Action Models (WAMs) predict visual futures and robot actions, yet they remain susceptible to task-incomplete imagination, where plausible, action-consistent predictions omit the…

  33. KungfuAthleteBot: learning high-dynamic humanoid motion from video with unified robust recovery
    USarXiv cs.RO (Robotics)

    arXiv:2610.03388v2 Announce Type: replace Abstract: Video is an abundant, inexpensive source of human motion data that is rich in extreme athletic behaviors. Making it usable for humanoid robots, however, is not a matter of simply…

  34. ProactiveVLA: Augmenting Embodied Memory through Proactive Environment Exploration
    USarXiv cs.RO (Robotics)

    arXiv:2610.06999v1 Announce Type: new Abstract: Rapid adaptation to a new environment requires a robot to acquire useful knowledge about local objects, states, and interactions from limited experience. Systems that combine a reasoning…

  35. BRACE: Adapting Whole-Body References for Force and Terrain Aware Humanoid Motion Tracking
    USarXiv cs.RO (Robotics)

    arXiv:2610.07052v1 Announce Type: new Abstract: Whole-body tracking has become the interface through which operators drive humanoid robots, yet the references it consumes are recorded on level ground and carrying nothing, so the tracker is…

  36. Towards Decentralized Formation of Minimum-Length Communication Networks Using Robot Swarms
    USarXiv cs.RO (Robotics)

    arXiv:2610.07320v1 Announce Type: new Abstract: Multi-robot missions in infrastructure-denied environments frequently rely on reliable communication links between spatially separated locations. We propose a fully decentralized framework…

  37. Expressiveness, Equivalence, and Uncertainty in Velocity Obstacles and Closest Point of Approach Metrics
    USarXiv cs.RO (Robotics)

    arXiv:2610.07371v1 Announce Type: new Abstract: Time to Closest Point of Approach (TCPA), Distance to Closest Point of Approach (DCPA), and Velocity Obstacles (VOs), are widely used to assess and mitigate collision risk in autonomous…

  38. Dynamics Modeling of a Multi-UAV Slung Load System Using a Discrete-Link Cable Approach
    USarXiv cs.RO (Robotics)

    arXiv:2610.07456v1 Announce Type: new Abstract: A common assumption to simplify the problem of controlling a multi-UAV slung load system (MUSLS) is that the flexible cables can be modeled as massless rigid rods. In this work, we propose an…

  39. Model-Based Geometry-Aware Generative Optimization for Constrained Locomotion Planning
    USarXiv cs.RO (Robotics)

    arXiv:2610.07772v1 Announce Type: new Abstract: Constrained Locomotion Planning (CLP) for quadrupeds and humanoids, where robots must satisfy collision avoidance, contact consistency, kinematic feasibility, and support constraints, is…

  40. Nested Power Models for Multirotor Propulsion: From Aerodynamic Drag to Electrical Losses
    USarXiv cs.RO (Robotics)

    arXiv:2610.08177v1 Announce Type: new Abstract: Speed-only aerodynamic power models for multirotor propulsion cannot represent acceleration-dependent effects. This work develops a nested sequence of propulsion-power models that starts from…

  41. How Much Planning Is Enough? Reducing Search and Computation in World-Model Planning
    USarXiv cs.RO (Robotics)

    arXiv:2610.08350v1 Announce Type: new Abstract: Visual world models enable goal-directed control through decision-time action search, but their deployment efficiency is often limited by conservatively large planning budgets. We show that…

  42. Micro Neural Policies for Safe Real-Time Robotic Control
    USarXiv cs.RO (Robotics)

    arXiv:2610.08541v1 Announce Type: new Abstract: In this paper, we investigate the synthesis of Micro Neural Policies (MNP) to enable safe and robust real-time robotic control on computationally constrained embedded devices. We demonstrate…

  43. MRPilot: Supervising and Intervening LLM-Based Multi-Robot Teams through Mixed Reality
    USarXiv cs.RO (Robotics)

    arXiv:2610.07477v1 Announce Type: cross Abstract: Large language models (LLMs) let users direct heterogeneous multi-robot systems (MRS) through natural language, but make task interpretation, robot assignment, and coordination difficult to…

  44. Robust Nonprehensile Object Transport with Quadruped Robots
    USarXiv cs.RO (Robotics)

    arXiv:2610.07245v1 Announce Type: new Abstract: In this paper, we present a robust nonprehensile object transportation framework for quadruped robots. An uncertainty-aware trajectory optimization method generates object motions with…

  45. Symmetries Here and There, Combined Everywhere: Cross-space Symmetry Compositions in Robotics
    USarXiv cs.RO (Robotics)

    arXiv:2605.22639v4 Announce Type: replace Abstract: Robots exhibit a rich variety of symmetries arising from their mechanical structure and the properties of their tasks. Although many robotics problems exhibit several symmetries…

  46. Mitigating Concept Drift in QoS Prediction for Teleoperation of Autonomous Vehicles Using Historic Data
    USarXiv cs.RO (Robotics)

    arXiv:2610.08297v1 Announce Type: new Abstract: Teleoperation serves as the fallback solution to autonomous driving but reliable functions of the teleoperation require a certain amount of mobile network resources, which cannot be…

  47. End-to-End Safe Social Navigation via Multi-Task Reinforcement Learning and Probabilistic Perception
    USarXiv cs.RO (Robotics)

    arXiv:2610.05733v2 Announce Type: replace Abstract: Autonomous social navigation requires balancing efficiency, physical safety, and social compliance. Reinforcement Learning (RL) methods provide a viable and effective solution but often…

  48. HARL-A: An Extensible Benchmark Framework for Heterogeneous Multi-Agent Adversarial Reinforcement Learning in IsaacLab
    USarXiv cs.RO (Robotics)

    arXiv:2510.01264v2 Announce Type: replace-cross Abstract: Progress in adversarial multi-agent reinforcement learning (MARL) for robotics has been hampered by a lack of shared, extensible infrastructure that supports heterogeneous agent…

  49. Behavioral Safety Assessment towards Large-scale Deployment of Autonomous Vehicles, Part I: Methodology
    USarXiv cs.RO (Robotics)

    arXiv:2610.08450v1 Announce Type: new Abstract: Autonomous vehicles (AVs) have significantly advanced in real-world deployment in recent years, yet safety continues to be a critical barrier to widespread adoption. Traditional functional…

  50. Behavioral Safety Assessment towards Large-scale Deployment of Autonomous Vehicles, Part II: Assessment Results
    USarXiv cs.RO (Robotics)

    arXiv:2610.08458v1 Announce Type: new Abstract: Third-party evaluations of autonomous vehicle (AV) safety can play a vital role in improving public acceptance, building consumer confidence, and establishing effective safety standards. In…

  51. Object-Reconstruction-Aware Whole-body Control of Mobile Manipulators
    USarXiv cs.RO (Robotics)

    arXiv:2509.04094v3 Announce Type: replace Abstract: Object reconstruction and inspection tasks play a crucial role in various robotics applications. Identifying paths that reveal the most unknown areas of the object is paramount in this…

  52. A Swarm-Coordinated Multi-Robot System for Early Stress Detection in Agricultural Rows Using Multimodal Leaf Sensing
    USarXiv cs.RO (Robotics)

    arXiv:2610.08603v1 Announce Type: new Abstract: Early stress detection in crops is a necessity today to improve efficiency and reduce waste of time, money, and effort. However, most modern techniques, such as hyperspectral imaging and…

  53. Behavioral Cloning Mystery
    USarXiv cs.RO (Robotics)

    arXiv:2610.07056v1 Announce Type: new Abstract: Behavioral cloning (BC), despite its simplicity, exhibits many counterintuitive phenomena in the real world. For example, the performance of BC often keeps increasing as the model overfits…

  54. PACE: Stage-Consistent Long-Horizon Robot Manipulation via Progress-Aligned Context for Execution
    USarXiv cs.RO (Robotics)

    arXiv:2610.07917v1 Announce Type: new Abstract: Demonstration-conditioned policies provide a natural interface for specifying robot behavior, yet long-horizon manipulation remains difficult when visually similar states recur across…

  55. ACG-WAM: World-Action Modeling via Action-Conditioned Geometric Latent Prediction
    USarXiv cs.RO (Robotics)

    arXiv:2610.06965v1 Announce Type: new Abstract: World action models jointly learn visual predictionand robot actions, providing a way to use observations ofscene evolution for policy learning. Their video and actionlosses, however, provide…

  56. Fluorescence-enhanced Whisker Array with Vision-based Deformation Analysis for Underwater Source Localization
    USarXiv cs.RO (Robotics)

    arXiv:2610.07275v1 Announce Type: new Abstract: Deep-water biological observation is essential for understanding marine organisms and their interactions with the environment. However, conventional optical and acoustic approaches can…

  57. SMART: Zero-Shot Sim-to-Real Articulated Object Manipulation via Large-Scale Synthetic Pretraining
    USarXiv cs.RO (Robotics)

    arXiv:2610.07652v1 Announce Type: new Abstract: The ability to interact with articulated objects is essential for embodied intelligent systems, but collecting large-scale real-world demonstrations for these interactions remains challenging…

  58. ESP: Energy-Score Policy for One-Step Multimodal Action Generation
    USarXiv cs.RO (Robotics)

    arXiv:2610.07696v1 Announce Type: new Abstract: Generative action models based on diffusion and flow matching have been increasingly adopted in vision-language-action (VLA) policies for their ability to capture diverse behaviors, including…

  59. CUSP: CUSUM-Governed Survival Hazard Alarms at the Perception Onset for Off-Road Navigation
    USarXiv cs.RO (Robotics)

    arXiv:2610.07882v1 Announce Type: new Abstract: Off-road navigation exposes a robot to potentially hazardous terrain en route. Although learning-based navigation uses safety supervision to choose which path to drive, it provides no runtime…

  60. Communication-Free Obstacle Localization from Aggregate Wrench Measurements in Leader--Follower Cooperative Transport
    USarXiv cs.RO (Robotics)

    arXiv:2610.08324v1 Announce Type: new Abstract: We consider obstacle localization for a team of robots cooperatively transporting a rigid payload without explicit inter-robot communication. A leader robot directs the payload's motion…

  61. Safe Multi-Robot Collaborative Transport Using Density Functions
    USarXiv cs.RO (Robotics)

    arXiv:2610.08441v1 Announce Type: new Abstract: This paper presents a hierarchical density-based model predictive control framework for safe collaborative manipulation by multiple quadrupedal robots. The framework enables a team of robots…

  62. QF3: Fast Flow RL with Filtered Q-Gradients
    USarXiv cs.RO (Robotics)

    arXiv:2610.08789v1 Announce Type: new Abstract: Flow policies have become a standard policy class for learning robot behaviors from demonstrations, but reinforcement learning is still critical for improving pre-trained flow policies or…

  63. VeriFine: Scaling Verification for Self-Improvement in Embodied Reasoning
    USarXiv cs.RO (Robotics)

    arXiv:2610.08761v1 Announce Type: cross Abstract: Self-improving policies continually expose new failure patterns, changing what their judges must be able to verify. However, current fixed judges constrain both optimization feedback and…

  64. Mission-Aware Attestation Envelopes for Time-Critical Autonomous Action: A Hardware-in-the-Loop V2I Study
    USarXiv cs.RO (Robotics)

    arXiv:2610.08771v1 Announce Type: cross Abstract: An autonomous system that asks for a privileged physical action is usually gated on integrity evidence: a platform proves what it is running, and the request is granted or refused on that…

  65. Learning from Hallucinating Critical Points for Navigation in Dynamic Environments
    USarXiv cs.RO (Robotics)

    arXiv:2509.26513v2 Announce Type: replace Abstract: Generating large and diverse obstacle datasets to learn motion planning in environments with dynamic obstacles is challenging due to the vast space of possible obstacle trajectories…

  66. GaussianCaR: Gaussian Splatting for Efficient Camera-Radar Fusion
    USarXiv cs.RO (Robotics)

    arXiv:2602.08784v2 Announce Type: replace Abstract: Robust and accurate perception of dynamic objects and map elements is crucial for autonomous vehicles performing safe navigation in complex traffic scenarios. While vision-only methods…

  67. Learning Force-Regulated Robotic Manipulation with a Low-Cost Tactile-Force-Controlled Gripper
    USarXiv cs.RO (Robotics)

    arXiv:2602.10013v2 Announce Type: replace Abstract: Successfully manipulating many everyday objects, such as potato chips, requires precise force regulation. Failure to modulate force can lead to task failure or irreversible damage to the…

  68. HRDexDB: A 4D Dexterous Grasping Dataset Across Human and Multiple Robot Embodiments
    USarXiv cs.RO (Robotics)

    arXiv:2604.14944v3 Announce Type: replace Abstract: We present HRDexDB, a real-world 4D dexterous grasping dataset capturing 3D hand-object interaction trajectories over time across five embodiments. The dataset comprises 3.2K trials over…

  69. GeoAlign: Beyond Semantics with State-Guided Spatial Alignment in VLA Models
    USarXiv cs.RO (Robotics)

    arXiv:2606.03240v2 Announce Type: replace Abstract: Current Vision-Language-Action (VLA) models often optimize for semantic grounding, whereas executable manipulation requires geometry-aware spatial alignment. We introduce GeoAlign, a…

  70. Affordance2Action: Task-Conditioned Scene-level Affordance Grounding for Real-Time Manipulation
    USarXiv cs.RO (Robotics)

    arXiv:2606.04172v2 Announce Type: replace Abstract: Task-conditioned manipulation requires grounding instructions to task-relevant functional parts rather than object categories. This setting is scene-dependent and often one-to-many in…

  71. A Safe Action Is Not Enough: Feasible-Future Decoding for Vision-Language-Action Policies
    USarXiv cs.RO (Robotics)

    arXiv:2610.05166v2 Announce Type: replace-cross Abstract: A safe action is not necessarily a viable one. A frozen vision-language-action (VLA) policy can favor a locally admissible move that leaves no policy-supported route to safe task…

  72. TAPDreamer: Transferable Adversarial Patches for World Action Models
    USarXiv cs.RO (Robotics)

    arXiv:2610.06814v2 Announce Type: replace-cross Abstract: World models learn to predict how their environment will evolve, making them an important foundation for general-purpose robotic control. Yet world action models depend on camera…

  73. SimToolReal: An Object-Centric Policy for Zero-Shot Dexterous Tool Manipulation
    USarXiv cs.RO (Robotics)

    arXiv:2602.16863v3 Announce Type: replace Abstract: The ability to manipulate tools significantly expands the set of tasks a robot can perform. Yet, tool manipulation represents a challenging class of dexterity, requiring grasping thin…

  74. ROMA: LLM System for Real-World Object-Centric Multi-Sensory Active Perception
    USarXiv cs.RO (Robotics)

    arXiv:2610.06955v1 Announce Type: new Abstract: Humans inherently understand the physical world through an active process. When sensory evidence is insufficient to infer physical properties, we naturally interact with the environment by…

  75. Atomic Motion Coordinate for Language-Steerable and Force-Responsive Manipulation
    USarXiv cs.RO (Robotics)

    arXiv:2609.15012v3 Announce Type: replace Abstract: Can changing only the language instruction redirect a VLA policy's end effector, or does the visually driven motion prior dominate? We present Atomic Motion Coordinate, a…

  76. Demo: Closed-Loop Sionna-Isaac Sim Co-Simulation Framework for Wireless-Aware Robot Navigation over ROS 2
    USarXiv cs.RO (Robotics)

    arXiv:2610.08618v1 Announce Type: cross Abstract: A robot that offloads its control loop to the network carries the receiver with it, so link quality is decided by where it goes. Simulating this requires both a physics engine and a…

  77. TeleHairing: A Teleoperation Baseline for Robotic Haircutting
    USarXiv cs.RO (Robotics)

    arXiv:2610.07096v1 Announce Type: new Abstract: Robotic haircutting requires controlled tool motion near the head while simultaneously accounting for communication, visual feedback, tool actuation, and interruption handling. Existing…

  78. EmbodiedSmith: Scaling Embodied Data through Recursive Self-Improvement Flywheel in Simulation
    USarXiv cs.RO (Robotics)

    arXiv:2610.07969v1 Announce Type: cross Abstract: Scaling robotic foundation models requires diverse training data and reliable evaluation environments. Simulation offers a scalable solution, yet existing generation pipelines remain…

  79. VOMMI: Collecting and Leveraging Portable Demonstrations for Mobile Manipulation
    USarXiv cs.RO (Robotics)

    arXiv:2610.08220v1 Announce Type: new Abstract: Portable mobile-manipulation demonstrations can help alleviate data scarcity for embodied intelligence, but obtaining reliable, low-cost, and robot-free motion supervision from RGB…

  80. Embedded Bare-Metal Radar-Inertial Odometry
    USarXiv cs.RO (Robotics)

    arXiv:2610.07278v1 Announce Type: new Abstract: Compact extraplanetary rovers and micro aerial vehicles require robust state estimation frameworks designed to operate under strict computational constraints in unforgiving environments…

  81. Silicon Language: A Robot-Native Knowledge Exchange Framework for Heterogeneous Robots
    USarXiv cs.RO (Robotics)

    arXiv:2610.07650v1 Announce Type: new Abstract: Reusing a capability across heterogeneous robots still requires substantial human adaptation and verification: transferring a skill often means re-engineering interfaces, retuning parameters…

  82. EigenDEXplore: Structured Exploration for Dexterous Manipulation with Human Priors
    USarXiv cs.RO (Robotics)

    arXiv:2610.07681v1 Announce Type: new Abstract: Dexterous manipulation poses a challenging high-dimensional optimization problem, as useful behaviors require coordinated motion across many hand joints. In reinforcement learning (RL) and…

  83. OpenWAM: An Open Framework for Composable World-Action Models
    USarXiv cs.RO (Robotics)

    arXiv:2610.07922v1 Announce Type: new Abstract: World-action models (WAMs) couple future prediction with robot control, yet existing systems often vary the video backbone, interaction structure, supervision, and inference procedure…

  84. ViDAL: A Visual Dynamics-Grounded Action Latent Space for Vision-Language-Action Models
    USarXiv cs.RO (Robotics)

    arXiv:2610.08150v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models have become a central paradigm for robot policy learning, which predict actions in three forms: raw action chunks, discrete action tokens, or continuous…

  85. SC3BF: Shifted Collision Cone Control Barrier Function for Dynamic Obstacle Avoidance
    USarXiv cs.RO (Robotics)

    arXiv:2610.08332v1 Announce Type: new Abstract: The collision cone used by velocity-space control barrier functions is conservative: it rejects every relative velocity aimed into an obstacle, however slow. We propose the \emph{shifted…

  86. Post-Grasp Kinematic Repair for Robotic Insertion via Object-in-Gripper Reorientation
    USarXiv cs.RO (Robotics)

    arXiv:2610.08421v1 Announce Type: new Abstract: A stable grasp does not guarantee kinematically feasible robotic insertion because the object-in-gripper transform may force the robot towards singularities or joint limits along the…

  87. DepthWorld: 3D World Model for Robot Manipulation
    USarXiv cs.RO (Robotics)

    arXiv:2610.08780v1 Announce Type: new Abstract: World models offer a data-driven alternative to traditional simulators for robotics, with applications spanning policy evaluation, improvement, and planning. All of these uses depend on…

  88. Educating future engineers about LLMs: A scalable workshop
    USarXiv cs.RO (Robotics)

    arXiv:2610.07027v1 Announce Type: cross Abstract: As large language models (LLMs) are increasingly integrated into engineering workflows, students require hands-on experience to learn how to collaborate with them critically. This paper…

  89. R2RI: A Multi-View Event and RGB Dataset for Robot-to-Robot Interaction
    USarXiv cs.RO (Robotics)

    arXiv:2610.07117v1 Announce Type: cross Abstract: Understanding and modeling interactions between autonomous agents is a fundamental challenge in robotics, with broad implications for collaborative systems, social robotics, and human-robot…

  90. Federated Bayesian Surveillance of Mechanical Thrombectomy Adverse Events: A Population Risk Layer for Surgical Digital Twins
    USarXiv cs.RO (Robotics)

    arXiv:2610.08464v1 Announce Type: cross Abstract: Learned surgical simulators and world models can roll out plausible procedural futures, but they carry no grounded estimate of how often interventional devices actually harm patients. We…

  91. LHM-Humanoid: Long-Horizon Human Motion Control for Continuous Object Transport in Cluttered Scenes
    USarXiv cs.RO (Robotics)

    arXiv:2508.16943v4 Announce Type: replace Abstract: Physics-based human motion control can make a simulated character walk, sit, and manipulate objects with high physical realism. Almost always, though, this happens in short, isolated…

  92. PC-Diffuser: Path-Consistent Capsule CBF Safety Filtering for Diffusion-Based Trajectory Planner
    USarXiv cs.RO (Robotics)

    arXiv:2603.10330v3 Announce Type: replace Abstract: Autonomous driving in complex traffic requires planners that generalize beyond hand-crafted rules, motivating data-driven approaches that learn behavior from expert demonstrations…

  93. BAT: Balancing Agility and Stability via Online Policy Switching for Long-Horizon Whole-Body Humanoid Control
    USarXiv cs.RO (Robotics)

    arXiv:2604.01064v2 Announce Type: replace Abstract: Despite advances in reinforcement and imitation learning, achieving both precise control and dynamic whole-body behaviors in long-horizon tasks remains challenging. Existing approaches…

  94. WAMJET: A Harness for World Action Model Acceleration
    USarXiv cs.RO (Robotics)

    arXiv:2610.03797v2 Announce Type: replace-cross Abstract: World Action Models (WAMs) leverage pretrained video foundation models for robot manipulation, but their large backbones and video-action co-prediction are expensive. Although…

  95. Energy-Aware Path Following: Comparative Analysis of Reinforcement Learning and NMPC for Electric Vehicles
    USarXiv cs.RO (Robotics)

    arXiv:2610.08112v1 Announce Type: new Abstract: Path-following control strategies typically follow the bi-objective optimization dilemma: minimizing deviations from a reference path while maintaining smooth speed profiles. The latter…

  96. VLA-ACL: Action-Consistent Visual Token Pruning for Efficient Vision-Language-Action Models
    USarXiv cs.RO (Robotics)

    arXiv:2610.08133v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models achieve strong robotic manipulation performance but incur high computational costs from processing long token sequences at every control step, limiting…

  97. What the Elevation Map Cannot See: Semantic-Aware Locomotion and Execution-Aware Navigation for Humanoid Robot
    USarXiv cs.RO (Robotics)

    arXiv:2610.07396v1 Announce Type: new Abstract: Navigation for humanoid robots is critical, yet large-scale evaluation on physical hardware is often impractical due to cost and safety concerns, making simulation benchmarks essential…

  98. AutodidactWAM: Cross-Modal Self-Distillation from Generated Video to Robot Actions
    USarXiv cs.RO (Robotics)

    arXiv:2610.08119v1 Announce Type: new Abstract: World-action models (WAMs) such as Cosmos 3 jointly generate future video and robot actions from an observation and instruction. Adapting one such model with a lightweight LoRA fine-tune to a…

  99. Model-Based Diffusion Optimal Control for Multi-Robot Motion Planning
    USarXiv cs.RO (Robotics)

    arXiv:2607.12423v2 Announce Type: replace Abstract: Multi-Robot Motion Planning in continuous environments, where robots must generate dynamically feasible, collision-free trajectories, is challenging due to the combinatorial growth of the…

  100. Navigation with RF Cues: Embodied Perception Action under Multipath Uncertainty
    USarXiv cs.RO (Robotics)

    arXiv:2610.08105v1 Announce Type: new Abstract: Smart factory inspection requires robots to reach connected equipment without a prior map or known target coordinates. Radio frequency (RF) signals from the target can provide directional…

  101. No Need to Stop the Fleet: Localized Anomaly Isolation via Dead Zones in AGV Fleets
    USarXiv cs.RO (Robotics)

    arXiv:2610.08524v1 Announce Type: new Abstract: Automated Guided Vehicle (AGV) fleets in production and logistics environments rely on a system-wide emergency stop to handle local anomalies such as malfunctions, hazards, or contaminated…

  102. Belief-Informed Hybrid Control with Almost-Sure Target-Set Convergence
    USarXiv cs.RO (Robotics)

    arXiv:2610.07674v1 Announce Type: cross Abstract: Controlling a hybrid system to a target set under parameter uncertainty can require informative actions that temporarily drive the system state away from the specified set. We propose a…

  103. Guided Action Flow: Value-Guided Sampling for Frozen Vision-Language-Action Policies
    USarXiv cs.RO (Robotics)

    arXiv:2607.02092v4 Announce Type: replace Abstract: Reinforcement learning can improve vision-language-action (VLA) policies beyond supervised fine-tuning, although this typically involves further updates to the policy parameters. For…

  104. TransMASK: Masked State Representation through Learned Transformation
    USarXiv cs.RO (Robotics)

    arXiv:2603.05670v2 Announce Type: replace Abstract: When humans learn new manipulation skills, they are able to generalize these skills to new contexts and environments. In particular, when learning, humans can easily separate…

  105. Generalizable Robustness Testing of DNN-Based Robotic Navigation Systems via XAI-Guided Search
    USarXiv cs.RO (Robotics)

    arXiv:2610.06862v1 Announce Type: new Abstract: **Context:** Deep Neural Networks (DNNs) increasingly control Cyber-Physical Systems (CPSs), yet small input perturbations can cause unsafe system-level behavior. Existing approaches often…

  106. ScanSTL: Parallel Robustness Evaluation for Signal Temporal Logic
    USarXiv cs.RO (Robotics)

    arXiv:2610.07346v1 Announce Type: new Abstract: Repeated evaluation and differentiation of Signal Temporal Logic (STL) robustness can become a computational bottleneck in robot planning and control. Sequential temporal recurrences limit…

  107. An Autonomous, 3D Printed, Waterjet-Powered, Open-Source Robotic Trimaran for Environmental Inspection and Monitoring
    USarXiv cs.RO (Robotics)

    arXiv:2610.07398v1 Announce Type: new Abstract: Versatile, autonomous robotic boats can offer excellent environmental inspection and monitoring solutions for remote, dangerous, hard to reach, or access protected water bodies. This paper…

  108. ProCut: Probabilistic Cutting Topology for Autonomous Electrosurgical Tissue Dissection
    USarXiv cs.RO (Robotics)

    arXiv:2610.07515v1 Announce Type: new Abstract: Accurately modeling and tracking the deformation of soft tissue is critical for a wide range of interventional and surgical procedures. However, current methods struggle in scenarios…

  109. Learning Grasp Targeting from Point Clouds for Log Pile Clearing on a Hydraulic Crane
    USarXiv cs.RO (Robotics)

    arXiv:2610.07613v1 Announce Type: new Abstract: In mill yards, log loaders clear dense piles by a sequence of bundle grasps: hundreds of logs rest in contact, and each removal changes the pile available to the next grasp. A learned policy…

  110. Nine Trials to Recover: A Reproducible Benchmark for Repertoire-Free Soft-Robot Damage Adaptation
    USarXiv cs.RO (Robotics)

    arXiv:2610.07616v1 Announce Type: new Abstract: We present a repertoire-free benchmark for soft-robot damage recovery under nine online trials. The protocol pairs damage masks within each morphology, retains a measured nominal fallback…

  111. TacZero: Training-Free Peg Insertion Using a General-Purpose Vision-Language Model with Tactile Feedback
    USarXiv cs.RO (Robotics)

    arXiv:2610.07621v1 Announce Type: new Abstract: Robots that autonomously determine their actions from language instructions and sensory observations could perform new contact-rich manipulation tasks without task-specific training or…

  112. Beyond Waypoint Regression: Query-Based Cost Learning over Reachable Ego Futures for End-to-End Driving
    USarXiv cs.RO (Robotics)

    arXiv:2610.08123v1 Announce Type: new Abstract: End-to-end planners based on waypoint regression achieve strong open-loop accuracy, but they primarily learn to mimic expert geometry and remain difficult to adapt to deployment-time safety…

  113. HexaGripper: A Single-Actuator, Winch-Deployed Gripper for Autonomous Aerial Parcel Collection
    USarXiv cs.RO (Robotics)

    arXiv:2610.08259v1 Announce Type: new Abstract: Autonomous aerial parcel collection remains constrained by package-transfer operations that require manual loading, landing, or dedicated ground infrastructure. This letter presents…

  114. Sensor-Layout-Agnostic Navigation via Geometric Observation Canonicalization
    USarXiv cs.RO (Robotics)

    arXiv:2610.08306v1 Announce Type: new Abstract: Existing visual navigation policies are inherently bound to fixed camera configurations, creating a fundamental barrier to zero-shot deployment across heterogeneous robot sensor layouts. To…

  115. From Legs to Wheels: Embodiment-Aware Human Motion Retargeting for Mobile-Base Humanoids
    USarXiv cs.RO (Robotics)

    arXiv:2610.08381v1 Announce Type: new Abstract: Human video offers a scalable source of robot demonstrations, yet most human-to-humanoid retargeting methods assume a legged robot with human-like kinematics. This assumption does not hold…

  116. Reactive Exploration of Unknown Environments for Redundant Robots using Virtual Model Control
    USarXiv cs.RO (Robotics)

    arXiv:2610.08110v1 Announce Type: new Abstract: The exploration of confined, occluded, and partially known spaces poses significant challenges in robotic manipulation. The overall pose of the robotic arm must be carefully controlled to…

  117. Dexterous Control of an 11-DOF Redundant Robot for CT-Guided Needle Insertion With Task-Oriented Weighted Policies
    USarXiv cs.RO (Robotics)

    arXiv:2503.14753v3 Announce Type: replace Abstract: Computed tomography (CT)-guided needle biopsies are critical for diagnosing a range of conditions, including lung cancer, but present challenges such as limited in-bore space, prolonged…

  118. Bidirectional Incremental Generalized Hybrid A*
    USarXiv cs.RO (Robotics)

    arXiv:2605.30647v2 Announce Type: replace Abstract: We focus on the problem of efficient anytime kinodynamic planning for systems with complex dynamics in unstructured environments that make using precomputed motion primitives infeasible…

  119. Learning Visual Feature-Based World Models via Residual Latent Action
    USarXiv cs.RO (Robotics)

    arXiv:2605.07079v2 Announce Type: replace-cross Abstract: World models predict future transitions from observations and actions. Existing works predominantly focus on image generation only. Visual feature-based world models, on the other…

  120. A Geometric Decision Procedure for STL Feasibility and Repair
    USarXiv cs.RO (Robotics)

    arXiv:2610.00199v2 Announce Type: replace-cross Abstract: Signal Temporal Logic control synthesis frequently encounters physical infeasibility due to actuator limits or flawed task deadlines. Standard optimization methods model time by…

  121. Reward as Observation: Learning Reward-Based Policies for Rapid Adaptation
    USarXiv cs.RO (Robotics)

    arXiv:2610.00729v2 Announce Type: replace-cross Abstract: This paper explores a reward-based policy to achieve zero-shot transfer between source and target environments with completely different observation spaces. While humans can…

  122. UWB Meets Crazyflow: Simulating Degraded Feedback at Scale for Aerial Robotics
    USarXiv cs.RO (Robotics)

    arXiv:2610.08225v1 Announce Type: new Abstract: In this work, we introduce Crazyflow, an accurate, differentiable simulator built on JAX. By leveraging jit compilation via XLA, Crazyflow unifies physics and control into a single…

  123. ActTune: Action-Aware Precision and GPU Operating-Point Adaptation for Energy-Efficient Vision-Language-Action Inference
    USarXiv cs.RO (Robotics)

    arXiv:2610.08444v1 Announce Type: new Abstract: Vision-language-action (VLA) policies repeatedly invoke inference to control robots, making graphics processing unit (GPU) energy a recurring cost of task execution. Reducing energy per…

  124. Hierarchy-GBP: Accelerating Factor Graph Inference via Abstraction and Recovery
    USarXiv cs.RO (Robotics)

    arXiv:2610.06978v1 Announce Type: cross Abstract: Gaussian Belief Propagation (GBP) is a distributed inference algorithm that passes messages in graphical models, making it attractive for scalable spatial intelligence. However, we find GBP…

  125. Commit While Futures Agree: Consequence-Aware Adaptive Action Chunking for Robot Manipulation
    USarXiv cs.RO (Robotics)

    arXiv:2610.07949v1 Announce Type: new Abstract: Action-chunking policies predict multi-step control sequences, but a fundamental question remains: how much of a predicted action chunk should be committed before replanning? Existing systems…

  126. CoRE: Learning Collaboration-Role Experts for Decentralized Collaborative Manipulation with One Policy
    USarXiv cs.RO (Robotics)

    arXiv:2610.07752v1 Announce Type: new Abstract: Collaborative manipulation requires robots to perform complementary actions as interactions unfold. We study single-policy decentralized collaboration: every robot runs the same policy from…

  127. PhoneBot: A Low-Cost Open Humanoid Robot Platform Reusing Smartphones
    USarXiv cs.RO (Robotics)

    arXiv:2610.08737v1 Announce Type: new Abstract: The adoption of humanoid robots in education and research remains limited by high hardware costs, complex sensing systems, and substantial computational requirements. This paper presents…

  128. RACER: Residual-Adaptive Closed-Loop Estimation for Sampling-Based Planning in Wheeled-Quadruped Racing
    USarXiv cs.RO (Robotics)

    arXiv:2610.07409v1 Announce Type: new Abstract: We present RACER, a hierarchical control framework for wheel-based quadruped racing that combines an MPPI planner with a learned residual dynamics model and a low-level RL velocity tracker…

  129. Beyond Task Reward: A Controller-Restriction Protocol for Evaluating Embodiment-Dependent Competence
    USarXiv cs.RO (Robotics)

    arXiv:2610.07629v1 Announce Type: new Abstract: Co-design methods optimize a robot's body and controller jointly and judge the result by one number, the task reward of the fully optimized pair. That number cannot separate morphologies…

  130. ExoBridge: Learning a Bare Hand to Hand-Worn Exoskeleton Mapping through Human Limb Coupling
    USarXiv cs.RO (Robotics)

    arXiv:2610.07692v1 Announce Type: new Abstract: Human video offers a scalable source of experience for dexterous robot learning, but obtaining motion and tactile supervision while preserving bare hand interaction remains challenging. We…

  131. LBA-CBF: Rapidly Adaptive Safety Filters via Parallel Dynamics Inference
    USarXiv cs.RO (Robotics)

    arXiv:2610.08765v1 Announce Type: new Abstract: Control barrier functions (CBFs) certify commands through an assumed dynamics model, so an abrupt, unmeasured regime change can undermine the certificate exactly when safety matters most. We…

  132. Sim-to-Real Transfer of Vision-Language Navigation in Continuous Environments Using an Ackermann-Steered Mobile Robot
    USarXiv cs.RO (Robotics)

    arXiv:2610.07192v1 Announce Type: cross Abstract: Vision-Language Navigation (VLN) enables robots to navigate through environments using natural language instructions, making human-robot interaction intuitive. Traditional VLN models often…

  133. Revisiting Temporal Regularization for Smooth Control in Deep Reinforcement Learning
    USarXiv cs.RO (Robotics)

    arXiv:2610.07910v1 Announce Type: cross Abstract: Deep Reinforcement Learning policies can produce nonsmooth action oscillations that hinder deployment on physical robots. Existing architectural and penalty-based approaches seek spatial…

  134. A Three-Stage Offline SDRE-Based Control Framework for Human Motion Reproduction on a Suspended Bipedal Robot
    USarXiv cs.RO (Robotics)

    arXiv:2506.04680v4 Announce Type: replace Abstract: This paper presents a three-stage offline command generation framework for reproducing human lower-limb motion on a suspended bipedal robot while matching torque trajectories computed…

  135. GenZ-LIO: Generalizable LiDAR-Inertial Odometry Beyond Confined--Open Boundaries
    USarXiv cs.RO (Robotics)

    arXiv:2603.16273v3 Announce Type: replace Abstract: For field robotic missions such as inspection, search-and-rescue, and exploration, light detection and ranging (LiDAR)-inertial odometry (LIO) can serve as a core component of autonomy by…

  136. Generalizable Dense Reward for Long-Horizon Robotic Tasks
    USarXiv cs.RO (Robotics)

    arXiv:2604.00055v2 Announce Type: replace Abstract: Existing robotic foundation policies are trained primarily via large-scale imitation learning. While such models demonstrate strong capabilities, they often struggle with long-horizon…

  137. A GPU-Parallel Framework for Heterogeneous Multi-Task Reinforcement Learning
    USarXiv cs.RO (Robotics)

    arXiv:2606.03335v3 Announce Type: replace Abstract: GPU-parallel simulation provides abundant robot interaction, but existing benchmarks rarely combine this scale with heterogeneous manipulation tasks and standardized multi-task RL…

  138. DexPIE: Stable Dexterous Policy Improvement from Real-World Experience
    USarXiv cs.RO (Robotics)

    arXiv:2606.09615v3 Announce Type: replace Abstract: Dexterous manipulation presents substantial challenges for imitation learning due to its high-dimensional action space and complex contact-rich dynamics. Policies trained purely from…

  139. Sensitivity Shaping for Latent Modeling
    USarXiv cs.RO (Robotics)

    arXiv:2606.14585v2 Announce Type: replace Abstract: Generative dynamics models enable planning in challenging systems, but safe deployment requires detecting policy-induced out-of-distribution (OOD) transitions. Existing methods typically…

  140. What Enables In-Context Behavior Prompting for Manipulation?
    USarXiv cs.RO (Robotics)

    arXiv:2606.30457v2 Announce Type: replace Abstract: Behavior prompting is a paradigm in which a sensorimotor robot demonstration, called a behavior prompt, serves as an in-context prompt for performing new tasks at test time. While prior…

  141. Risk-Sensitive Crowd Navigation with Adaptive Ellipsoidal Conformal Prediction
    USarXiv cs.RO (Robotics)

    arXiv:2610.07474v1 Announce Type: new Abstract: Safe crowd navigation under distribution shift requires uncertainty representations that capture structured human-motion prediction errors and safety objectives that account for rare but…

  142. Koopman Model Predictive Control of An Origami-Inspired Soft Exoskeleton for Knee Rehabilitation
    USarXiv cs.RO (Robotics)

    arXiv:2510.11094v2 Announce Type: replace Abstract: Knee rehabilitation plays a critical role in restoring patients' mobility and functional independence. Traditional rigid rehabilitation exoskeletons are often bulky and cumbersome to…

  143. OpenSplatGraph: From Dense Semantic Maps to Structured Scene Graphs for Open-Vocabulary Robot Perception
    USarXiv cs.RO (Robotics)

    arXiv:2610.07569v1 Announce Type: new Abstract: Dense 3D mapping with semantic understanding is essential for robotic perception in complex environments. Recent 3D Gaussian Splatting-based mapping approaches enable high-fidelity geometry…

  144. Modeling Latent Disturbances for Robust Decision-Making in World Models
    USarXiv cs.RO (Robotics)

    arXiv:2610.07599v1 Announce Type: new Abstract: In this paper, we study robust decision-making in the latent space of world models (WMs). Robust optimization is a mathematical framework where, given explicitly specified dynamics and…

  145. From Model to Prototype: Design and Motor-Flap Propulsion Control of a Twin-Wing Metamorphic UAV
    USarXiv cs.RO (Robotics)

    arXiv:2610.07896v1 Announce Type: new Abstract: This paper presents the design and control strategy for MetaMorpher, a metamorphic Unmanned Aerial Vehicle (UAV), capable of both spinning-wing hover and fixed flying-wing cruise flight…

  146. RobotUse: Allocating Computation, Context, and Decisions
    USarXiv cs.RO (Robotics)

    arXiv:2610.04929v2 Announce Type: replace Abstract: Robot agents must connect their intended actions to observed outcomes while retaining the context needed to revise their choices over repeated attempts. Existing interfaces often leave…

  147. IronMan: Information-Constrained Video-Action Learning for Robot Manipulation
    USarXiv cs.RO (Robotics)

    arXiv:2610.07961v1 Announce Type: new Abstract: Video Action Models (VAMs) couple visual dynamics modeling with action generation for robot manipulation. However, video representations are not naturally suited to action generation, as…

  148. Event-Driven Proactive Robot Assistance through Vision-Language Reasoning
    USarXiv cs.RO (Robotics)

    arXiv:2610.08344v1 Announce Type: new Abstract: Assistance in collaborative manipulation is often initiated by user instructions, making high-level reasoning request-driven. In fluent human teamwork, however, partners often infer the next…

  149. Distribution-Transfer Safe-Horizon MPC under Mode Uncertainty
    USarXiv cs.RO (Robotics)

    arXiv:2610.07277v1 Announce Type: new Abstract: Scenario-based MPC is an attractive strategy for chance-constrained motion planning that approximates uncertainty via a finite set of sampled scenarios. As a sampling-based method…

  150. SURGE: Sonar-fUsed Reconstruction and localization via image-gated Graph Estimation
    USarXiv cs.RO (Robotics)

    arXiv:2610.07472v1 Announce Type: new Abstract: Remotely operated vehicles (ROVs) are widely used to explore and inspect underwater environments such as caves, shipwrecks, and submerged infrastructure. These missions require accurate 3D…