Applied & Human-Centered · Computer Science & AI
Robotics
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4,418 papers, from 4 September 2026 to 5 November 2026: 4,418 arXiv preprints.
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Newest papers, page 138
When to Adapt: Multi-Signal Domain Shift Detection for Efficient Training-Free Adaptation in Open-Vocabulary Segmentation
Robust and reliable perception is essential for autonomous robots operating in real-world environments, particularly in long-term missions where environmental conditions may change significantly…Cascaded consensus splitting for multi-branch contingency games
Contingency games enable agents to anticipate and plan for other agents' hypothetical intents by constructing trajectories with a shared prefix and intent-dependent branches.Semantic Map Sharing and Capability-Aware Coverage Planning for AI-Native 6G Robotic Coordination
Search and Rescue (SAR) operations increasingly deploy heterogeneous teams of aerial and ground robots.Learning Expressive and Compositional Motion Representation via Spectral Skills
Robotic foundation models offer a promising path toward general-purpose humanoid robot control, often through hierarchical architectures.ProAct-VLM: Pre-Failure Vision-Language Task Replanning with Continuous Perception Feedback
Long-horizon robotic tasks are vulnerable to unexpected environmental changes that can render planned actions ineffective or unsafe.Learning from Shared-Control Overrides: Context-Driven Acceleration Profile Prediction for Personalized Overtaking
Adaptive Cruise Control (ACC) systems are typically calibrated for an average driver, often resulting in a mismatch between vehicle behavior and individual expectations during time-critical…CogWAM: Aligning Semantic Cognition with World Action Modeling via Event-Driven Interfaces
Robot policies increasingly incorporate semantic reasoning and future-world prediction, yet combining these capabilities does not guarantee that local predictions and actions remain aligned with…Recompositional Robotics: Cross-Domain, Open-set, and Lifelong Modularity Beyond Morphology
Research in modular robotics has produced capable approaches allowing a robot's morphology to change online, with recent efforts also developing approaches to decide which morphology to assume and…Faster and Better? Benchmark Bugs and Design Limitations Distort the Evaluation of Vision-Language-Action Acceleration
Simulated manipulation benchmarks are the standard tool for evaluating vision-language-action (VLA) policies and the acceleration methods that reduce their inference latency for on-robot deployment.Urgent Actions Go First: Urgency-Aware Denoising for Real-Time VLA Control
Diffusion and flow-matching Vision-Language-Action (VLA) policies generate action chunks through iterative denoising, incurring substantial inference latency that severely limits real-time robotic…Geometry-Preserving Human-to-Robot Upper-Body Motion Retargeting from Monocular Video
Monocular RGB video provides an accessible source of human demonstrations for upper-body robot motion, yet video-driven human-to-robot transfer remains challenging because body and hand motion are…MVG-WAM: Multiple View Geometry-Aware World-Action Modeling for Robotic Manipulation
World-Action Models (WAMs) couple visual dynamics with action prediction, bringing the rich priors of pretrained video models to robotic manipulation.Explore, Execute, Evolve: A Skill Acquisition and Reuse Loop for Embodied Agents
Vision-language-action and world-action models have demonstrated impressive capabilities in robotics, yet generalization to unseen tasks remains challenging.ExceptionDrive: A Planning-Oriented Counterfactual Corner-Case Benchmark for Autonomous Driving
Average performance on routine driving benchmarks does not establish planner reliability under rare, safety-critical hazards.WayFinder: Hierarchical Visual-Language-Action for Zero-Shot Waypoint Generation and Low-Level Kinematic Control
Visual Language Action (VLA) models offer unprecedented generalization for autonomous robots; however, their real-world deployment is frequently bottlenecked by unreliable execution and the…Does Local Video Understanding Transfer Across Encounters? The EgoGears Benchmark
Embodied systems must make knowledge acquired during one encounter usable in another despite changes in viewpoint, motion, and illumination.PhysWAM: Physically Consistent World Action Model for Autonomous Driving
World-action models (WAMs) jointly predict how a scene will evolve and how an agent should act, however joint generation alone does not necessarily impose a shared geometric constraint on these…Comparing Utility of Inertial, Occupancy, Semantic, and Intent Information in Human Motion Prediction During Daily Tasks
Accurate human motion prediction is crucial for robotic systems operating around people, particularly in complex indoor spaces.Brain-SAD: A Brain-Inspired Safe Autonomous Driving Control Framework with Dynamic Fear-Oriented Constraint on Dual-Policy
Constrained Reinforcement Learning has recently gained increasing attention in the field of Safe Autonomous Driving, where the general mechanism is to maximize the expected reward while keeping the…doPlan: A Variable-Horizon Dataset for Multi-Stage Language-Conditioned Planning in Autonomous Driving
Autonomous vehicles interacting with passengers through natural language must reason beyond immediate commands.