Robotics & Automation
Robotics & Automation news — Thursday 15 October 2026
150 stories from 3 sources, every one in English. Each links to its publisher.
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Stryker invests $400M into CMR Surgical
The Robot Report
CMR Surgical said it designed Versius to be compact and modular, so it doesn’t require a dedicated OR. | Source: CMR Surgical Stryker this week said it has invested about $400 million into CMR Surgical, with an exclusive option for it to…
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Stryker invests $400M into CMR Surgical
Robotics Business Review
CMR Surgical said it designed Versius to be compact and modular, so it doesn’t require a dedicated OR. | Source: CMR Surgical Stryker this week said it has invested about $400 million into CMR Surgical, with an exclusive option for it to…
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How ADI is helping robotics startups scale
The Robot Report
The ADI cleanroom in Beaverton, Ore. Sponsored by Analog Devices Inc. Robotics companies are developing new capabilities at a rapid pace, from autonomous mobile robots to humanoid systems. However, keeping up with technological advances is…
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How ADI is helping robotics startups scale
Robotics Business Review
The ADI cleanroom in Beaverton, Ore. Sponsored by Analog Devices Inc. Robotics companies are developing new capabilities at a rapid pace, from autonomous mobile robots to humanoid systems. However, keeping up with technological advances is…
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Agility chooses Nyobolt for ultra-fast charging for Digit 5 humanoid
The Robot Report
Nyobolt is providing fast-charging, long-duration battery technology for Digit 5. Source: Agility One of the challenges that humanoid robot designers face is power management. Agility Robotics Inc. today said it is working with Nyobolt on…
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Agility chooses Nyobolt for ultra-fast charging for Digit 5 humanoid
Robotics Business Review
Nyobolt is providing fast-charging, long-duration battery technology for Digit 5. Source: Agility One of the challenges that humanoid robot designers face is power management. Agility Robotics Inc. today said it is working with Nyobolt on…
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MorphAct: Robot Policies Morphing with the Worlds They Act In
arXiv cs.RO (Robotics)
arXiv:2610.20019v1 Announce Type: new Abstract: Progress toward general intelligence in the physical world requires scaling robot learning across diverse environments and interactions. However, existing robot policies use shared parameters…
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Tiered-Resolution Volumetric Mapping for Real-Time Simultaneous Planning and Mapping on Natural Outdoor Environments
arXiv cs.RO (Robotics)
arXiv:2610.20476v1 Announce Type: new Abstract: Real-time volumetric mapping for a planning robot is dominated by the cost of integrating and storing information at the finest resolution, yet only a small fraction of any map ever lies on…
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Towards Certifiable State Estimation under Observability Degeneracy
arXiv cs.RO (Robotics)
arXiv:2610.20490v1 Announce Type: new Abstract: Certifiable optimization provides global optimality guarantees for non-convex state estimation in robotics. However, under severe physical sensing degeneracy, convex Semidefinite Programming…
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SafeDriveVLA: Navigation-Conditioned World Model Dreaming for Conflict-Aware End-to-End Autonomous Driving
arXiv cs.RO (Robotics)
arXiv:2610.20609v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models are gaining attention in autonomous driving, inheriting commonsense priors from large language models (LLMs) and widening the navigation interface from a…
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Skill2Real: Agentic Skill Learning for Zero-Shot Sim-to-Real Robot Manipulation
arXiv cs.RO (Robotics)
arXiv:2610.02788v2 Announce Type: replace Abstract: Transferring robotic skills from simulation to reality requires task knowledge that remains usable across differences in perception, dynamics, and embodiment. We introduce Skill2Real, an…
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DEFlow: Deep Equilibrium Flow Maximum-Entropy Reinforcement Learning
arXiv cs.RO (Robotics)
arXiv:2610.16597v2 Announce Type: replace-cross Abstract: Expressive flow policies can represent multiple high-value actions, but sampling them with few integration steps while retaining tractable action densities remains challenging. We…
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$S^3$-Nav: Structured Spatial-Semantic Decision Making for Language-Guided Robot Navigation
arXiv cs.RO (Robotics)
arXiv:2610.19431v1 Announce Type: new Abstract: This paper presents $S^3$-Nav, a structured spatial-semantic decision-making framework for language-guided robot navigation under partial observability. Rather than assuming a complete…
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Learning-Based Adaptive MPC for Magnetorquer-Only Satellite Attitude Control
arXiv cs.RO (Robotics)
arXiv:2610.20280v1 Announce Type: new Abstract: Nanosatellites (e.g., CubeSats) have the potential to carry out useful science and exploration activities for outer solar system exploration, but their small size leads to tradeoffs between…
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Data-Free Continual Learning for World Action Model with Rectified Generative Replay
arXiv cs.RO (Robotics)
arXiv:2610.18038v2 Announce Type: replace Abstract: World action models (WAMs) built on pretrained video generation models adapt quickly to new robotic tasks, but they forget previously learned tasks under sequential fine-tuning…
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Thinker-WM: A Unified World Model with Shared Multimodal Representations for Embodied Intelligence
arXiv cs.RO (Robotics)
arXiv:2610.18447v2 Announce Type: replace-cross Abstract: World models have emerged as a promising paradigm for embodied AI, yet existing systems often remain fragmented in the modalities they model and the functions they support. In…
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CoWear: Towards Collaborative Wearable Inertial Localization with Multiple Smart Devices
arXiv cs.RO (Robotics)
arXiv:2610.20596v1 Announce Type: new Abstract: Consumer smart devices observe the same human motion from different body locations, yet existing inertial-localization benchmarks rarely provide synchronized heterogeneous wearables with…
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OmniHOI: Dexterous Hand-Object Interaction from Monocular Human Video
arXiv cs.RO (Robotics)
arXiv:2610.10855v2 Announce Type: replace Abstract: Monocular videos of human manipulation provide abundant dexterous demonstrations, yet reconstructing hand-object interaction from a single view and transferring it to robot hands remain…
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UGV-Conditioned Multi-UAV Informative Planning on a Shared Exposure Belief
arXiv cs.RO (Robotics)
arXiv:2606.12306v2 Announce Type: replace Abstract: Safe ground navigation in large, threat-augmented environments requires aerial support that actively reduces the risks that a ground vehicle faces along its route. Existing aerial…
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Benchmarking 3D Reconstruction for Under-Ice Robotic Perception in Arctic Environments
arXiv cs.RO (Robotics)
arXiv:2610.19097v1 Announce Type: new Abstract: As the Arctic transitions toward a seasonally ice-free state, capturing the complex morphology of submerged sea ice is crucial for advancing models of ocean-ice-atmosphere heat exchange and…
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Seeing, Maintaining, and Learning: The Evolution of Multimodal Agent Memory
arXiv cs.RO (Robotics)
arXiv:2610.19366v1 Announce Type: cross Abstract: Multimodal models and agents have emerged to enable AI systems to learn from and interact with the real world more like humans by integrating information across multiple modalities…
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What the Elevation Map Cannot See: Semantic-Aware Locomotion and Execution-Aware Navigation for Humanoid Robot
arXiv cs.RO (Robotics)
arXiv:2610.07396v2 Announce Type: replace 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…
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Learning Keypoint Constraints from Visual Demonstrations for Safe Motion Planning
arXiv cs.RO (Robotics)
arXiv:2610.19295v1 Announce Type: new Abstract: We present Keypoint Constraint Learning (KCL), a framework for learning task-relevant motion constraints from visual demonstrations and for planning safely with the extracted constraints. To…
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Active Generative Simulation: Meta-Learning What to Simulate for Sim-and-Real Policy Co-Training
arXiv cs.RO (Robotics)
arXiv:2610.19479v1 Announce Type: new Abstract: Sim-and-real co-training is an effective way to scale robot learning by augmenting limited real-world demonstrations with simulation data. However, existing approaches typically treat…
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IMU-Bench: Benchmarking Wrist IMU Representations Across Kinematic, Semantic and Clinical Tasks
arXiv cs.RO (Robotics)
arXiv:2610.19481v1 Announce Type: new Abstract: Wrist-worn inertial measurement units (IMUs) provide a common sensing modality for tasks ranging from activity and gesture recognition to pose estimation, inertial odometry and clinical motor…
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Refine Actions If Needed: Adaptive Action Chunk Refinement for Robot Manipulation
arXiv cs.RO (Robotics)
arXiv:2610.19765v1 Announce Type: new Abstract: Computationally lightweight manipulation policies predict executable actions with low inference latency, but prediction errors can limit task success. Iterative generative policies can…
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Dungeon and Visibility World Generator
arXiv cs.RO (Robotics)
arXiv:2610.19523v1 Announce Type: new Abstract: Robotic exploration, coverage, and multi-agent deployment algorithms require reproducible environments with controllable geometry and visibility. This paper presents the Dungeon and…
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VGM-VS: Rethinking Visual Geometry Model for High-Precision Visual Servoing
arXiv cs.RO (Robotics)
arXiv:2609.28312v2 Announce Type: replace Abstract: We present VGM-VS, a visual servoing method built on a pretrained feed-forward visual geometry model. Given the current view and a reference image captured at the target configuration, we…
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Colon3R: Cross-Domain 3D Reconstruction from Monocular Colonoscopic Video
arXiv cs.RO (Robotics)
arXiv:2609.23961v3 Announce Type: replace-cross Abstract: Monocular colonoscopic 3D reconstruction is important for surgical robotic colonoscopy, but remains challenging due to weak texture, specular reflections, limited view overlap, and…
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DexMimic: A Generalist Dexterous Hand-Object Tracking Policy via Value-Guided Reset Allocation
arXiv cs.RO (Robotics)
arXiv:2610.19089v1 Announce Type: new Abstract: Achieving human-like dexterous manipulation remains a central challenge in robotics. Learning from human hand-object interaction (HOI) datasets offers a promising pathway to diverse dexterous…
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MIND: Instruction-Conditioned Incremental Grounding for Robots
arXiv cs.RO (Robotics)
arXiv:2610.19262v1 Announce Type: new Abstract: Robots following persistent language instructions must decide which cached room judgments remain valid as their environment changes. We present MIND (Maintenance via INstruction-conditioned…
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FoveaVLA: Foveation Actions Replace the Wrist Camera in VLAs
arXiv cs.RO (Robotics)
arXiv:2610.20064v1 Announce Type: new Abstract: We present FoveaVLA, a Vision-Language-Action (VLA) model that replaces the wrist camera with learned foveation actions. Wrist cameras provide close-up detail but restrict the view to the…
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MultiFly: A Real-World Multimodal Aerial Dataset with Annotation-Efficient Label Transfer and Cross-Modal Semantic Consistency
arXiv cs.RO (Robotics)
arXiv:2610.10359v2 Announce Type: replace Abstract: We introduce MultiFly, a real-world, low-altitude UAV dataset for semantic perception across RGB, thermal, LiDAR, and radar modalities. MultiFly provides 17,272 synchronized samples from…
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End-to-End Vision-Language-Action Policies for Autonomous Lunar Rover Docking
arXiv cs.RO (Robotics)
arXiv:2610.19224v1 Announce Type: new Abstract: Surface navigation on the Moon is subject to extreme illumination contrast and deployment-time perceptual disturbances. While modular navigation pipelines have long supported planetary rover…
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RingNav: Task-Shaped Circular Memory for Visual Heading
arXiv cs.RO (Robotics)
arXiv:2610.19044v1 Announce Type: new Abstract: Tiny robots have limited computation and memory, yet visual navigation systems often maintain more state than a task requires. We ask whether persistent memory can instead be shaped by the…
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Spacecraft Pose Tracking via Kinematic Prediction and Selective Event Correction
arXiv cs.RO (Robotics)
arXiv:2610.19465v1 Announce Type: new Abstract: In initialized spacecraft tracking, a short-horizon motion prediction remains available as event support changes. Observation-Aligned Event Innovation (OA-EI) uses events to correct selected…
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Robota-Embed: Unified VLA Embeddings for Robot In-Context Learning and Evolution
arXiv cs.RO (Robotics)
arXiv:2610.19495v1 Announce Type: new Abstract: Retrieving useful context for a robot requires matching its task, execution stage, and the continuation that should follow. We introduce Robota-Embed, to our knowledge the first…
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Back on Track: Deployment-time Policy Improvement via World Model Planning
arXiv cs.RO (Robotics)
arXiv:2610.19579v1 Announce Type: new Abstract: State-of-the-art visuomotor policies are increasingly capable of executing complex tasks, yet can fail during deployment in ways they cannot predict or recover from on their own. Improving…
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FACT: Failure-Aware Causal Training for World-Action Models
arXiv cs.RO (Robotics)
arXiv:2608.10232v2 Announce Type: replace Abstract: Recent world-action models (WAMs) show that co-training policies with future prediction can provide physical priors for action generation. Building on the future-prediction ability of…
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DD-GBP: Anytime Multi-Arm Planning and Continuous Execution via Distributed Dynamic Gaussian Belief Propagation
arXiv cs.RO (Robotics)
arXiv:2610.20460v1 Announce Type: new Abstract: Safely executing long-horizon multi-arm tasks online in complex dynamic environments remains challenging. We propose a new distributed dynamic Gaussian belief propagation (DD-GBP) method that…
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EarlyCommit: Calibrated Word-by-Word Commitment for Robots Acting Before You Finish Speaking
arXiv cs.RO (Robotics)
arXiv:2610.20531v1 Announce Type: new Abstract: Human listeners can often identify the intended object several words before an instruction ends. Robots, however, are typically designed to wait until the speaker has finished before deciding…
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Physical Time as a Missing Dimension of Robot Policy Memory Dynamics
arXiv cs.RO (Robotics)
arXiv:2610.20524v1 Announce Type: new Abstract: Existing robot policy memories typically evolve with observation sequences, implicitly treating each update as the same amount of physical time. Yet identical observation histories can span…
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Hierarchical Residual Policy Learning for Real-World Mobile Manipulation with Sparse Human Guidance
arXiv cs.RO (Robotics)
arXiv:2610.20607v1 Announce Type: new Abstract: Mobile Manipulation (MoMa) is a cornerstone of autonomous robotic systems, yet real-world fine-tuning remains a formidable challenge because of high-dimensional action spaces and intricate…
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Receding-Horizon Next-Best-View Planning for Highly Occluded Target Perception
arXiv cs.RO (Robotics)
arXiv:2610.19082v1 Announce Type: new Abstract: Robotic systems that must acquire information about a specific target often face severe occlusion from sur- rounding structures or from the target itself, such that a single camera viewpoint…
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GS-PRM: Gaussian Visual Roadmap for Image-Goal Navigation
arXiv cs.RO (Robotics)
arXiv:2610.19541v1 Announce Type: new Abstract: Image-goal navigation requires a global planner that connects visually specified endpoints while providing observations that a local policy can follow. Three-dimensional Gaussian Splatting…
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Cracking Mobile Manipulation: From Failure Diagnosis to Agentic Robot System
arXiv cs.RO (Robotics)
arXiv:2610.19600v1 Announce Type: new Abstract: Recent vision-language-action (VLA) models have shown strong performance on local robot manipulation, yet their success does not readily translate to long-horizon mobile manipulation. In our…
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E2DRL: End-to-End Differentiable Reinforcement Learning for 3D Obstacle Avoidance in Quadruped Robots
arXiv cs.RO (Robotics)
arXiv:2610.19627v1 Announce Type: new Abstract: Differentiable reinforcement learning shows strong promise for robot policy learning, but its application to legged locomotion has remained limited to blind walking or simulated 2D tasks…
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Uncertainty-Driven Self-Play for Robust Multi-Agent Driving Policies
arXiv cs.RO (Robotics)
arXiv:2610.19714v1 Announce Type: new Abstract: Learning robust driving policies that generalize beyond their training domain remains a central challenge in motion planning. We propose an uncertainty-driven self-play scheme, in which half…
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One-shot Human Video-Guided Adaptation for Vision-Language-Action Models
arXiv cs.RO (Robotics)
arXiv:2610.19746v1 Announce Type: new Abstract: Vision-language-action (VLA) models have recently achieved remarkable progress by leveraging large-scale robot datasets and foundation models for general-purpose robot manipulation. However…
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Mixed-Reality Feedback Control: Towards Blending of Control and Digital Twinning
arXiv cs.RO (Robotics)
arXiv:2610.19759v1 Announce Type: new Abstract: Technologies, such as co-simulation, in particular, digital twins (DTs) are used for comprehensive and reliable prototyping, verification and validation (V&V) of control systems. There, the…
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Enabling Tidying Tasks in Robotic Vacuum Cleaners via a Geometry-Induced Self-Locking Deployable Linkage
arXiv cs.RO (Robotics)
arXiv:2610.20150v1 Announce Type: new Abstract: Robotic vacuum cleaners must extend their functionality within tight limits on size, cost, and durability. Deployable linkages with few actuators meet these limits, but their backdrivability…
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Investigating Behavior Cloning from Few Demonstrations for Autonomous Driving based on Bird's-Eye View in Simulated Cities
arXiv cs.RO (Robotics)
arXiv:2610.20203v1 Announce Type: new Abstract: This paper investigates the use of Behavior Cloning (BC) for autonomous driving from a bird's-eye view (BEV) perspective in simulated urban environments. BC uses supervised learning to mimic…
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ObjDream: Guiding Vision-Language-Action Models with Object-Level Understanding and Future State Prediction
arXiv cs.RO (Robotics)
arXiv:2610.20223v1 Announce Type: new Abstract: Vision-language-action (VLA) models have emerged as a powerful paradigm for robotic manipulation, enabling robots to generate actions from visual observations and language instructions…
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Human Demonstrations as Post-Training Data for Any Robot Body: Retargeting the Object, Not the Hand
arXiv cs.RO (Robotics)
arXiv:2610.20351v1 Announce Type: new Abstract: Human demonstrations are today used largely for pretraining vision-language-action models, with little ability to use the same data for target-embodiment or task-oriented training, which…
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When Do Discrete Actions Make Good Continuous Controllers?
arXiv cs.RO (Robotics)
arXiv:2610.20429v1 Announce Type: new Abstract: Though modern AI models like LLMs predict discrete tokens, today's robotic foundation models represent actions as continuous vectors. In this paper, we challenge this common consensus by…
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Graph-Reweighted Behavior Cloning with Human Interventions for Precise Robotic Manipulation
arXiv cs.RO (Robotics)
arXiv:2610.20504v1 Announce Type: new Abstract: Long-horizon precise manipulation produces mixed-quality data for post-training vision-language-action (VLA) models: even successful demonstrations and intervention-assisted rollouts may…
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HyperLoop: Hyperspectral-Assisted Loop Closure Detection in 3D-SLAM for Planetary Exploration
arXiv cs.RO (Robotics)
arXiv:2610.19742v1 Announce Type: cross Abstract: Autonomous navigation of planetary rovers is challenged by visually repetitive, featureless terrain. SLAM systems based on 3D Gaussian Splatting (3DGS) offer dense mapping but rely on RGB…
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NavAble: A Large-Scale Dataset and Synthetic Data Generation Pipeline for Blind Navigation
arXiv cs.RO (Robotics)
arXiv:2610.19330v1 Announce Type: cross Abstract: Reliable recognition of accessibility-critical objects (e.g., audible pedestrian signals, door-activation buttons, and handrails) is essential for assistive navigation technologies that…
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VLX-Go: Robust Embodied Tracking through Multi-Stage Learning and On-Policy Refinement
arXiv cs.RO (Robotics)
arXiv:2610.19361v1 Announce Type: cross Abstract: Embodied visual tracking requires a robot to identify a designated target from visual observations and control its own motion to follow that target through an environment. Following an…
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MARCH: Model-Assisted Reinforcement Learning for the Perceptive Control of Humanoids over Sparse Footholds
arXiv cs.RO (Robotics)
arXiv:2606.10288v2 Announce Type: replace Abstract: Perceptive bipedal locomotion over sparse terrain remains a difficult challenge: model-based methods are precise but brittle to uncertainty, while model-free methods are robust but…
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Test-Time Compute for Humanoid Behavior Foundation Models
arXiv cs.RO (Robotics)
arXiv:2610.14896v2 Announce Type: replace Abstract: Humanoid Behavior Foundation Models (BFMs) can execute impressive motions, but downstream applications such as loco-manipulation demand high whole-body positional accuracy. Existing BFMs…
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AdaRSI: On-Demand Recursive Self-Improvement for Embodied Agents
arXiv cs.RO (Robotics)
arXiv:2610.20474v1 Announce Type: cross Abstract: Pretrained vision-language-action models (VLAs) often fail midway through unseen long-horizon tasks. Recursive self-improvement (RSI) offers a remedy, but embodied RSI methods either refine…
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Schr\"odinger's Navigator: Imagining an Ensemble of Futures for Zero-Shot Object Navigation
arXiv cs.RO (Robotics)
arXiv:2512.21201v4 Announce Type: replace Abstract: Zero-shot object navigation (ZSON) requires robots to find target objects in unseen environments without task-specific fine-tuning or pre-built maps, a key capability for general-purpose…
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SKATER: Synthesized Kinematics for Advanced Traversing Efficiency on a Humanoid Robot via Roller Skate Swizzles
arXiv cs.RO (Robotics)
arXiv:2601.04948v2 Announce Type: replace Abstract: Although recent years have seen significant progress of humanoid robots in walking and running, the frequent foot strikes with ground during these locomotion gaits inevitably generate…
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Learning From a Steady Hand: A Weakly Supervised Agent for Robot Assistance under Microscopy
arXiv cs.RO (Robotics)
arXiv:2601.20776v2 Announce Type: replace Abstract: This paper rethinks steady-hand robotic manipulation by using a weakly supervised framework that fuses calibration-aware perception with admittance control. Unlike conventional automation…
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Failing Forward: Adaptive Failure-Informed Learning for Vision-Language-Action Models
arXiv cs.RO (Robotics)
arXiv:2605.08434v3 Announce Type: replace Abstract: Vision-language-action (VLA) models provide a promising paradigm for scalable robotic manipulation, yet their reliance on success-only behavioral cloning leaves them brittle; lacking…
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Constrained Whole-Body Tracking for Humanoid Robots
arXiv cs.RO (Robotics)
arXiv:2606.00374v2 Announce Type: replace Abstract: Recent advances in reinforcement learning (RL) have demonstrated impressive whole-body agility for humanoid robots, yet ensuring safety and satisfying constraints -- particularly those…
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F2F-AP: Flow-to-Future Asynchronous Policy for Real-time Dynamic Manipulation
arXiv cs.RO (Robotics)
arXiv:2604.02408v3 Announce Type: replace Abstract: Asynchronous inference has emerged as a prevalent paradigm in robotic manipulation, achieving significant progress in ensuring trajectory smoothness and efficiency. However, a systemic…
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Real-Time GPU-Accelerated Monte Carlo Evaluation of Safety-Critical AEB Systems Under Uncertainty
arXiv cs.RO (Robotics)
arXiv:2604.27193v2 Announce Type: replace Abstract: Automatic Emergency Braking (AEB) systems represent a safety-critical national interest, with the National Highway Traffic Safety Administration (NHTSA) Federal Motor Vehicle Safety…
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KinoGen: Customizable Humanoid Loco-Manipulation References via Kinematically Grounded Video Generation
arXiv cs.RO (Robotics)
arXiv:2610.20552v1 Announce Type: new Abstract: We present KinoGen, a framework that synthesizes customizable humanoid loco-manipulation references through kinematically grounded video generation. KinoGen conditions a pretrained video…
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ConTrack: Constrained Hand Motion Tracking with Adaptive Trade-off Control
arXiv cs.RO (Robotics)
arXiv:2606.03177v3 Announce Type: replace Abstract: Human demonstrations provide strong priors for robot manipulation, yet it is non-trivial to transfer them to execute on real robots due to the kinematic gap. In dexterous manipulation, it…
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CoPark: Learning Reactive Parking via Self-Play
arXiv cs.RO (Robotics)
arXiv:2606.04149v2 Announce Type: replace Abstract: Learning a single policy that reaches a goal with high geometric precision while interacting safely with nearby agents poses conflicting objectives. Precision favors commitment to a fixed…
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X-Safe: Embodiment-Agnostic Safeguarding for Robot Arm Manipulation Policies via Action Masking
arXiv cs.RO (Robotics)
arXiv:2606.22278v2 Announce Type: replace Abstract: Ensuring safety of learning-enabled robotic manipulation across diverse embodiments and tasks still requires significant manual engineering. For collision avoidance, existing approaches…
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G$^3$VLA: Geometric Inductive Bias for Vision-Language-Action Models
arXiv cs.RO (Robotics)
arXiv:2606.24472v2 Announce Type: replace Abstract: Vision-language-action (VLA) models have rapidly advanced generalist robot manipulation by harnessing the semantic knowledge of pretrained vision-language backbones. However, their visual…
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Adapting Generalist Vehicle Models for High-Speed MPC Across Terrains
arXiv cs.RO (Robotics)
arXiv:2607.13319v3 Announce Type: replace Abstract: High-speed off-road autonomy requires precise closed-loop control for a target vehicle while remaining robust across changing terrains. Recent forward kinodynamic (FKD) prediction…
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FoLD: Force-Informed Learning for Dexterous Articulated Object Manipulation
arXiv cs.RO (Robotics)
arXiv:2609.33551v2 Announce Type: replace Abstract: Transferring human demonstrations to dexterous robots remains challenging because differences in hand morphology and contact dynamics often cause retargeted motions to fail at producing…
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EigenDEXplore: Structured Exploration for Dexterous Manipulation with Human Priors
arXiv cs.RO (Robotics)
arXiv:2610.07681v2 Announce Type: replace Abstract: Dexterous manipulation poses a challenging high-dimensional optimization problem, as useful behaviors require coordinated motion across many hand joints. In reinforcement learning (RL)…
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Immiscible Diffusion Policy: Preserving Multimodal Robot Actions through Label-Free Noise Assignment
arXiv cs.RO (Robotics)
arXiv:2610.09369v2 Announce Type: replace Abstract: When diffusion policies were first introduced, they were expected to recover multi-modal action distributions. However, we find this expectation does not always hold, as diffusion…
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Same Goal, Different Words: Spatial Instruction Sensitivity in World-Action Models
arXiv cs.RO (Robotics)
arXiv:2610.16242v2 Announce Type: replace Abstract: World-action models should preserve the intended manipulation across equivalent descriptions of a spatial goal. We evaluate this consistency in 864 rollouts from three models across four…
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PROSE: Training-Free Egocentric Scene Registration with Vision-Language Models
arXiv cs.RO (Robotics)
arXiv:2606.16569v2 Announce Type: replace-cross Abstract: Registering two captures of the same indoor space taken at different times underpins persistent spatial memory for robots and AR systems, yet the realistic version of this task is…
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Probabilistic Physics Digital Twin for Human-Robot Interaction
arXiv cs.RO (Robotics)
arXiv:2610.19336v1 Announce Type: new Abstract: Digital twins are increasingly used in robotics to simulate interactions, predict action outcomes, and support planning. However, constructing accurate digital twins requires precise…
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Topology-Preserving Multi-Usage Pipe Centerline Refinement under Permanent Tubular Occupancy
arXiv cs.RO (Robotics)
arXiv:2610.19403v1 Announce Type: new Abstract: Discrete multi-group pipe routers place channels on a grid or coarse graph. The resulting centerlines are topologically feasible but typically contain many axis-aligned corners. For…
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Modeling and Understanding Neural Weights of Humanoid Policies with Diffusion
arXiv cs.RO (Robotics)
arXiv:2610.20606v1 Announce Type: new Abstract: Recent advances in robot learning have driven rapid progress in humanoid control, enabling increasingly agile behaviors in the real world. However, humanoid control networks are typically…
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What Happens to the Goal? Distinct Failures of Policy Alignment in Goal Misgeneralization
arXiv cs.RO (Robotics)
arXiv:2610.19731v1 Announce Type: cross Abstract: Goal misgeneralization is a common failure mode in which an agent behaves competently out of distribution but does not pursue the intended goal. However, we still have a weak understanding…
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TGPO: Trace-Guided Policy Optimization for Robot Task Planning via Verifiable Subgoal Generation
arXiv cs.RO (Robotics)
arXiv:2602.12244v4 Announce Type: replace Abstract: Robot task planning in real-world environments requires mapping abstract natural language instructions to executable action sequences under long horizons and complex constraints. While…
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DIRECT: When and Where Should You Allocate Test-Time Compute in Embodied Planners?
arXiv cs.RO (Robotics)
arXiv:2606.12402v2 Announce Type: replace Abstract: Vision-Language Models (VLMs) are increasingly deployed as high-level planners for embodied agents, with an emerging strategy of scaling test-time compute to improve capability. However…
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RoboSimStudio: An Interactive Toolkit for Human and Agent Rapid Real2Sim of Robot Manipulation Tasks
arXiv cs.RO (Robotics)
arXiv:2610.18835v2 Announce Type: replace Abstract: It has been difficult to accurately model the physics of the interaction between a robot and the objects it manipulates, including contact mechanics, coupled contact dynamics…
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From Failures to Learnable Worlds: Policy-Conditioned Environment Generation for Navigation Agents
arXiv cs.RO (Robotics)
arXiv:2610.19420v1 Announce Type: new Abstract: Simulated environments enable scalable training data generation for embodied agents, but more data does not necessarily provide what a particular agent needs to learn. Existing…
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PolyMorph: Learning Locomotion Policy for Cross-Embodiment Adaptation
arXiv cs.RO (Robotics)
arXiv:2610.19615v1 Announce Type: new Abstract: Reinforcement learning has enabled robust locomotion for legged robots, but learned policies are typically tied to a specific robot morphology and require additional engineering when the…
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F2A-ObjectNav: An Adaptive Agentic Architecture for Object-Goal Navigation
arXiv cs.RO (Robotics)
arXiv:2610.19618v1 Announce Type: new Abstract: Object-goal navigation requires an embodied agent to explore an unfamiliar environment, identify a target object, navigate toward candidate instances, and reliably determine whether the…
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Accelerating VLA Inference with Perturbation Informed Execution
arXiv cs.RO (Robotics)
arXiv:2610.19656v1 Announce Type: new Abstract: Action-chunking vision-language-action (VLA) models predict sequences of future robot actions. Under fixed-horizon execution, the robot executes a fixedlength prefix of each predicted chunk…
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Design and Characterization of a Unified Continuum Robot Actuation Platform
arXiv cs.RO (Robotics)
arXiv:2610.19798v1 Announce Type: new Abstract: Continuum robots enable dexterous access to confined spaces in applications such as minimally invasive surgery and industrial inspection. However, their actuation systems are often…
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FOMI: A Force-Feedback Manipulation Interface for Teaching Contact-Rich Manipulation
arXiv cs.RO (Robotics)
arXiv:2610.19839v1 Announce Type: new Abstract: Robot-free collection with handheld interfaces enables scalable acquisition of human demonstrations for policy learning. However, existing handheld interfaces often provide limited intuitive…
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Efficient Test-Time Adaptation For Robot Policies
arXiv cs.RO (Robotics)
arXiv:2610.20318v1 Announce Type: new Abstract: Reinforcement-learning policies for robot locomotion can fail at deployment when operating conditions shift (e.g., rough or slippery terrain, payload changes, sensing degradation), and…
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TacClaw-Infinity: A Large-Scale Vision-Tactile-Language-Action Dataset for Dexterous Manipulation
arXiv cs.RO (Robotics)
arXiv:2610.20320v1 Announce Type: new Abstract: Large-scale robot learning increasingly relies on diverse human demonstrations, yet tactile manipulation data remain difficult to scale, and existing multimodal datasets often lack consistent…
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PingpongDuo: Agile Humanoid Table Tennis Doubles with Safe Team Coordination
arXiv cs.RO (Robotics)
arXiv:2610.20579v1 Announce Type: new Abstract: Unlike singles, humanoid table tennis doubles requires teammates to strike in strict alternation while sharing a confined workspace. Rapid repositioning can compromise striking accuracy…
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DiffGIPC: Differentiable Mixed-Coordinate Contact Dynamics on GPU
arXiv cs.RO (Robotics)
arXiv:2610.19091v1 Announce Type: cross Abstract: Contact-rich inverse problems require efficient gradients and reliable enforcement of non-penetration. Existing differentiable methods provide fast simulation and rigid-deformable coupling…
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VLRLA: Deployment-Time Adaptation of Vision-Language-Action Models through In-Context Reinforcement Learning
arXiv cs.RO (Robotics)
arXiv:2610.19517v1 Announce Type: cross Abstract: Vision-language-action (VLA) models connect visual perception and language understanding with robot control, providing a foundation for instruction-conditioned manipulation. However…
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PoLAR: Factorizing Extent and Mode in Latent Actions for Robot Policy Learning
arXiv cs.RO (Robotics)
arXiv:2606.21139v2 Announce Type: replace Abstract: Robot actions vary in both extent and mode: how much change they produce and what kind of change they produce. A latent action space that reflects this structure may make it easier for…
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LIME: Learning Intent-aware Camera Motion from Egocentric Video
arXiv cs.RO (Robotics)
arXiv:2607.02417v2 Announce Type: replace Abstract: Autonomous robots often need to move their camera before they can act: to inspect an object, reveal an occluded region, or obtain a view that responds to a user's intent. While…
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EmbodiedEvo: Self-Evolving Coding Agent For Physical Intelligence
arXiv cs.RO (Robotics)
arXiv:2610.18867v2 Announce Type: replace Abstract: Coding agents can construct executable programs and revise them through feedback, offering a foundation for embodied control without target-task fine-tuning. Through a programmatic robot…
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Verification and Forward Invariance of Control Barrier Functions for Differential-Algebraic Systems
arXiv cs.RO (Robotics)
arXiv:2603.13509v2 Announce Type: replace-cross Abstract: Differential-algebraic equations (DAEs) arise in power networks, chemical processes, and multibody systems, where algebraic constraints encode physical conservation laws. The safety…
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Learning from Demonstrations meets Symbolic Control - A Supervisory Control Architecture for Formal Certification of Learned Motion
arXiv cs.RO (Robotics)
arXiv:2610.19815v1 Announce Type: new Abstract: Dynamical system (DS)-based learning from demonstration generates flexible robot motions, but existing guarantees rely on certificate generation to obtain formal guarantees of safety and goal…
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HM3D-M3: A Benchmark for Multi-Agent, Multi-Modal, Multi-Object Goal Navigation
arXiv cs.RO (Robotics)
arXiv:2610.20121v1 Announce Type: new Abstract: Rapid progress in AI agents and robotics makes it a matter of the near future that humans are served by a team of robots. Such a team will receive several goals at once, each specified in…
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Towards Agentic Robots: Model, Data, Environment, and Harness
arXiv cs.RO (Robotics)
arXiv:2610.20442v1 Announce Type: new Abstract: Foundation models are driving a paradigm shift in robotic intelligence, moving beyond low-level action prediction to goal-directed orchestration of data collection, model training, task…
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PRISM: Polynomial Representations for Interaction-Structured Motor Control
arXiv cs.RO (Robotics)
arXiv:2607.23473v2 Announce Type: replace Abstract: Robot policies map observations to actions, typically using multilayer perceptrons (MLPs). Yet robot dynamics and control objectives involve multiplicative interactions among observable…
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DexBioLab: Benchmarking Dexterous Manipulation with Dynamic Experimental Phenomena in Realistic Laboratories
arXiv cs.RO (Robotics)
arXiv:2610.13643v3 Announce Type: replace Abstract: Automating biological laboratories requires robots to perform dexterous tool interactions under realistic visual conditions while handling dynamic experimental phenomena, presenting…
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Imagine the Future, Internalize the Gist: Efficient VLA Reasoning via Internalized Spatiotemporal Imagination
arXiv cs.RO (Robotics)
arXiv:2610.02626v3 Announce Type: replace-cross Abstract: Vision-language-action (VLA) models increasingly incorporate intermediate reasoning to improve robotic manipulation, yet existing approaches primarily reason about observed states…
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Post-Training, Finetuning, and Steering:A Field Guide for Curating Training Data
arXiv cs.RO (Robotics)
arXiv:2610.19143v1 Announce Type: new Abstract: While Vision-Language-Action models have enabled impressive cross-task transfer in zero-shot settings, \emph{adaptation} methods are often necessary to achieve consistent performance on novel…
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Full-Order Safety for Nonlinear Reduced-Order MPC
arXiv cs.RO (Robotics)
arXiv:2610.19250v1 Announce Type: new Abstract: Reduced-order models (ROMs) make model predictive control (MPC) of high-dimensional nonlinear systems tractable, but the resulting modeling error can lead to constraint violations on the real…
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Reinforcement Learning via Fixed-point Flow Matching
arXiv cs.RO (Robotics)
arXiv:2610.12848v2 Announce Type: replace-cross Abstract: In maximum entropy and behavior-constrained reinforcement learning (RL), the optimal policy is given by a Boltzmann distribution. Generating samples from this distribution can be…
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Smart Fusion for Adaptive Visual-IMU Weighting in cuVSLAM Sparse Bundle Adjustment
arXiv cs.RO (Robotics)
arXiv:2610.20226v1 Announce Type: new Abstract: In cuVSLAM, visual and inertial measurement unit (IMU) residuals are fused in sparse bundle adjustment (SBA) with a weighting fixed by pre-calibrated noise covariances, leaving no mechanism…
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Learning Navigation from Multimodal Demonstrations with Geometric Candidate Modes
arXiv cs.RO (Robotics)
arXiv:2610.20241v1 Announce Type: new Abstract: Offline navigation demonstrations are multimodal, because one observation often allows several valid actions, such as passing an obstacle on either side. Behavior cloning averages these…
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Safe Reinforcement Learning with Receding-Horizon Safety Critic and Differentiable Action Shields
arXiv cs.RO (Robotics)
arXiv:2610.20255v1 Announce Type: new Abstract: Despite the Markov assumption, safety failures in robot reinforcement learning rarely occur instantaneously; they typically emerge over several steps as the policy enters unfamiliar states…
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TrAct: Bridging Robot Control and Visual Prediction with Visual Tracks
arXiv cs.RO (Robotics)
arXiv:2608.24101v4 Announce Type: replace Abstract: Robot actions are inherently embodiment-specific and only weakly aligned with image-space visual changes, limiting their effectiveness as conditioning signals for robot world models. In…
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SiGNgapore - An Interactive Dataset for Sign-based Visual Navigation
arXiv cs.RO (Robotics)
arXiv:2610.09488v4 Announce Type: replace Abstract: Robots navigating open-world, human-centered environments must look beyond prebuilt high-fidelity maps and leverage navigational aids embedded in their surroundings, particularly, signs…
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Interaction Latents as Actions for Contact-Rich Manipulation
arXiv cs.RO (Robotics)
arXiv:2610.18855v2 Announce Type: replace Abstract: Contact-rich manipulation requires robots to coordinate not only where to move, but also how contact and force should evolve throughout an interaction. Yet most robot policies represent…
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PACER: Process-Aware VLA Policy Learning from Human Corrections for Robotic Disassembly
arXiv cs.RO (Robotics)
arXiv:2610.19248v1 Announce Type: new Abstract: Robotic disassembly of end-of-life (EoL) products requires robots to accommodate product variation, follow prerequisite sequences, and approach components precisely for contact-rich…
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Atomic-WAM: Execution-Grounded Atomic-Motion Reasoning for World Action Models
arXiv cs.RO (Robotics)
arXiv:2610.20157v1 Announce Type: new Abstract: World Action Models (WAMs) typically adapt video foundation models to robotic control through joint video and action prediction. However, task-level instructions may leave the next physical…
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HERO: Learning Humanoid End-Effector Control for Visual Whole-Body Open-Vocabulary Object Grasping
arXiv cs.RO (Robotics)
arXiv:2602.16705v4 Announce Type: replace Abstract: Visual loco-manipulation of arbitrary in-the-wild objects requires accurate end-effector (EE) control and a generalizable understanding of the scene from visual inputs (eg, RGB-D images)…
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OxyGen: Unified KV Cache Management for VLA Inference under Multi-Task Parallelism
arXiv cs.RO (Robotics)
arXiv:2603.14371v4 Announce Type: replace Abstract: Embodied AI agents increasingly require parallel execution of multiple tasks, such as manipulation, conversation, and memory construction, from shared observations under distinct time…
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Beyond Kinematic Tracking: Preserving Expressive Characteristics in Humanoid Whole-Body Control
arXiv cs.RO (Robotics)
arXiv:2610.19393v1 Announce Type: new Abstract: Whole-body control plays a crucial role in enabling humanoid robots to execute expressive motions. Faithful execution requires preserving both the intended action and its expressive…
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HiFun: a Hierarchical Framework for Efficient Functional Dexterous Manipulation Learning
arXiv cs.RO (Robotics)
arXiv:2610.19518v1 Announce Type: new Abstract: While multi-fingered dexterous robot hands have the potential to provide human-level dexterity, using them for functional manipulation remains difficult because task success depends on…
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FPTAS for Polygonal Multi-Robot Motion Planning
arXiv cs.RO (Robotics)
arXiv:2610.20244v1 Announce Type: cross Abstract: We study multi-robot motion planning in a polygonal environment with polygonal robots. The setting of the problem consists of a polygonal domain $\mathcal{W}$ with $n$ vertices and $k$…
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Active Exploration in Bayesian Model-based Reinforcement Learning for Robot Manipulation
arXiv cs.RO (Robotics)
arXiv:2404.01867v3 Announce Type: replace Abstract: Efficiently tackling multiple tasks within complex environments, such as those found in robot manipulation, remains an ongoing challenge in robotics and an opportunity for data-driven…
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ACRO: Actor-Critic Rollout Orchestration
arXiv cs.RO (Robotics)
arXiv:2610.19677v1 Announce Type: new Abstract: Executing a vision-language-action (VLA) policy involves deciding when to continue an attempt and when to intervene to improve its chances of success. We introduce ACRO, an Actor--Critic…
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VIGOR-MPC: Vision-Guided Objective Regulation MPC
arXiv cs.RO (Robotics)
arXiv:2610.20333v1 Announce Type: new Abstract: Controlling an agent in an environment solely perceived through onboard vision is challenging: perception yields noisy, variable-length, and partially occluded context, while onboard compute…
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Learning in Orbit: Onboard Training and Closed-Loop Attitude Control with a Thermal Segmentation Model on a Spacecraft
arXiv cs.RO (Robotics)
arXiv:2610.19122v1 Announce Type: new Abstract: Deep space missions increasingly require spacecraft capable of autonomously operating in environments with communication delays and bandwidth limitations. A key enabler of such autonomy is…
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Collective Learning for Unified Robotic Manipulation via Predictive Dynamics Adaptation
arXiv cs.RO (Robotics)
arXiv:2610.19141v1 Announce Type: new Abstract: Learning a collective policy for state-based Cartesian manipulation across diverse robotic embodiments presents a fundamental challenge due to embodiment-dependent transition dynamics…
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A Master-to-Simulation Interface with Demonstration-Trajectory Guidance for Vascular Intervention
arXiv cs.RO (Robotics)
arXiv:2610.19395v1 Announce Type: new Abstract: Robotic vascular intervention can reduce radiation exposure to physicians and improve manipulation stability, but effective guidance remains challenging because conventional fluoroscopic…
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AutoRSR: Automated Real-to-Sim-to-Real Data Generation for Scalable Robot Learning
arXiv cs.RO (Robotics)
arXiv:2610.20336v1 Announce Type: new Abstract: Scaling embodied robot learning requires large and diverse manipulation datasets, but collecting real-world demonstrations remains expensive in human effort and robot time. Simulation…
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A Mode-Unified, Continuous, and Biomimetic Control Strategy of a Robotic Lower Limb Prosthesis
arXiv cs.RO (Robotics)
arXiv:2610.19183v1 Announce Type: new Abstract: Existing biomimetic lower-limb prosthesis controllers are commonly designed for discrete locomotion modes, requiring separate parameterizations for level walking, ramps, and stairs. We…
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Tactile-Guided Robot Learning: From Representation Learning to Foundation Models
arXiv cs.RO (Robotics)
arXiv:2610.20134v1 Announce Type: new Abstract: Tactile sensing is becoming central to robust, adaptive, and dexterous robotic manipulation. Beyond its traditional role in contact detection and reactive control, touch is increasingly used…
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Into the LidarVerse: A Real-Time Unified LiDAR World Model Across Tasks and Sensors
arXiv cs.RO (Robotics)
arXiv:2610.19201v1 Announce Type: cross Abstract: We present LidarVerse, a real-time unified LiDAR world model for sensor simulation across tasks and sensors. Existing LiDAR simulators largely follow one of two complementary paradigms…
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Driving, Fast or Slow? Neuro-Symbolic Guidance for Motion Prediction in Multi-Modal Ground Mobility
arXiv cs.RO (Robotics)
arXiv:2606.15251v2 Announce Type: replace Abstract: Accurate and interpretable motion prediction for heterogeneous traffic spaces, including pedestrians, bicycles, cars, and trucks, is essential for safe autonomous navigation…
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Scale and Selection: What Makes Automatic Harness Evolution Work for Visual-Interface Robot Agents
arXiv cs.RO (Robotics)
arXiv:2609.39304v3 Announce Type: replace Abstract: When an off-the-shelf coding agent is used directly as a robot policy, observing a browser-based 3D interface through screenshots and acting by posing a virtual target gripper through a…
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CorrelationFlow: A Training-Free Geometric Approach for LiDAR Scene Flow Estimation
arXiv cs.RO (Robotics)
arXiv:2607.29237v2 Announce Type: replace-cross Abstract: LiDAR scene flow is the task of estimating point-wise motion from sequential point clouds. It is essential for autonomous driving, as it provides critical information about moving…
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RoboSpan: Learning Modular Coordination Policies for High-DoF Whole-Body Mobile Manipulation with Teleoperation
arXiv cs.RO (Robotics)
arXiv:2610.19594v1 Announce Type: new Abstract: Whole-body mobile manipulation suffers from two fundamental challenges: inherent motion heterogeneity across locomotion, arm, and hand modules, and progressive error accumulation over…
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Tread: A Visuo-Inertial Framework for Terrain and Locomotion Context-Aware Gait-Phase and Speed Estimation in Wearable Robotics
arXiv cs.RO (Robotics)
arXiv:2610.19067v1 Announce Type: new Abstract: A wearable assistive robot must continuously estimate terrain, locomotion mode, gait phase, and walking speed. These quantities are commonly addressed by separate, terrain-specific models…
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Instruction-Conditioned Motion Control for Robotic Arms: Language-to-Code Decomposition and Reinforcement Learning
arXiv cs.RO (Robotics)
arXiv:2610.19617v1 Announce Type: new Abstract: Instruction-Conditioned Motion Control (ICMC) separates parameter specification, instruction generation, and code synthesis for language-driven robot control, making execution outcomes…
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What Matters for World Modeling in Vision-Language-Action Models?
arXiv cs.RO (Robotics)
arXiv:2610.19825v1 Announce Type: new Abstract: Integrating world models into Vision-Language-Action models (VLAs) has emerged as a promising direction, enabling policies to anticipate future dynamics beyond reactive observation-to-action…
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Active Perception of Upper-Limb Functional Mobility through Human-Robot Handovers
arXiv cs.RO (Robotics)
arXiv:2610.19896v1 Announce Type: new Abstract: The reintegration of people in the workplace after an upper-limb injury is often a long process. Collaborative robots and humanoids operating in shared workspaces must adapt their behavior to…
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$\lambda_0$: Scaling Open-World Egocentric Human Data for Humanoid Loco-Manipulation
arXiv cs.RO (Robotics)
arXiv:2610.18950v1 Announce Type: new Abstract: Humanoid loco-manipulation requires coordinated whole-body interaction with the physical world, yet collecting robot demonstrations at scale remains costly. Human demonstrations offer a…
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A VR Training System for Robot-Assisted Vascular Intervention with Dual-Mode Control and Model-Based Interaction Response
arXiv cs.RO (Robotics)
arXiv:2610.19413v1 Announce Type: new Abstract: Virtual reality training for robot-assisted vascular intervention requires accurate robotic control and effective feedback on guidewire--vessel interactions. This paper presents a VR training…
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ForceBench: Benchmarking Force Integration for Robotic Manipulation
arXiv cs.RO (Robotics)
arXiv:2610.19604v1 Announce Type: new Abstract: Force feedback provides vision-language-action (VLA) policies with physical observations that can guide action selection and execution. However, differences in tasks, demonstrations, and…
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Coordi-pi: Coordination-Aware Dual-Hand Action Representation for Bimanual Dexterous Manipulation
arXiv cs.RO (Robotics)
arXiv:2610.19753v1 Announce Type: new Abstract: Vision-language-action (VLA) models have shown strong potential for general-purpose robotic manipulation, but extending them to bimanual dexterous manipulation introduces a high-dimensional…
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MUCO: A Mani-Unit-Structured Manipulation Framework for Compositional Long-Horizon Robot Tasks
arXiv cs.RO (Robotics)
arXiv:2610.19913v1 Announce Type: new Abstract: Learning and executing long-horizon robot manipulation as complete task trajectories raises data-collection costs, lim?its capability reuse, and causes local failures to cascade into later…
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DexCast: Learning Real-World Dexterous Control from Human Videos
arXiv cs.RO (Robotics)
arXiv:2610.14691v2 Announce Type: replace Abstract: Recent advances in 3D hand-object interaction (HOI) perception have opened new opportunities for learning dexterous robotic skills from human videos. However, existing dexterous imitation…
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Complementary Future Token Pruning for World Action Models
arXiv cs.RO (Robotics)
arXiv:2610.19957v1 Announce Type: new Abstract: World action models (WAMs) jointly predict future visual states and robot actions, but processing dense future-frame tokens incurs substantial inference latency. We propose CF-Prune, a…
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All-St3R SLAM: Real-time RGB Dynamic SLAM with Pixel-wise Motion Masking
arXiv cs.RO (Robotics)
arXiv:2610.16143v1 Announce Type: cross Abstract: SLAM (Simultaneous Localization and Mapping) is a core technology in autonomous systems that enables them to estimate their own position and build a map of unknown environments…