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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Gaze-Assisted Supervisory Control for Lunar Robotic Arm Teleoperation Under Concurrent Monitoring
Rover-mounted robotic arms can extend human reach during lunar sample handling, but continuous joystick teleoperation requires repeated visual-motor alignment while operators may also need to…How Much Should a VLA Trust Its Reasoning? Step-Level Guidance as a Measured Action-Value Function
Reasoning vision-language-action (VLA) policies write a reasoning trace and then decode the action from it.Humanoid Dodgeball: Learning Fast Dynamic Obstacle Avoidance Motions for Humanoids
Humanoids have become increasingly agile and capable in real-world environments.LOGIV: Graph-Verified Execution with Causal Local Repair for Long-Horizon Robot Tasks
Agentic robots must turn a high-level goal into actions while keeping the physical conditions needed for future steps valid.RoboSeed: Multidimensional Evaluation of Vision-Language-Action and World-Action Models: Capability, Resource Affordability, and Research Evidence
Choosing a robot action model requires evidence about task capability, adaptation cost, deployment requirements, and the reliability of reported conclusions.Don't Risk It!: Trajectory-Conditioned Distributional Risk for LiDAR-Only Crowd Navigation
Efficient crowd navigation requires anticipating dynamic collision-free space without relying on fragile object tracking.Learning Safe Flow Matching Robot Policies from Binary Feasibility Oracles
Robot foundation models increasingly rely on flow-based action generation for general-purpose manipulation, yet the generated actions are not guaranteed to satisfy physical constraints such as joint…Coupled Guidance for Flow Matching
Guidance methods are essential tools for steering the generation process in diffusion models, improving the generalizability of stochastic robotic controllers and enabling high-quality controlled…Decision-Level Error Attribution and Depth-Aware Safety Evaluation of Monocular RGB Human Tracking for Autonomous Robot Navigation
Monocular RGB tracking is useful for robots operating near people, but perception errors affect binary stop/proceed decisions in ways that geometric accuracy metrics do not capture.RoboAtom: Large-scale Atomic-Action Supervision for Robot Learning
Fine-grained action annotations can support skill reuse and compositional generalization in robot policies.AcrossDEX 1.0: From Human Motion Pretraining to Bimanual Dexterous Manipulation across Hand Embodiments
Bimanual dexterous manipulation requires continuous coordination of wrist motion, finger contact, and object motion.LLM-guided Planar Loco-Manipulation for Quadruped Robots
Robotic navigation typically assumes a collision-free route to the goal exists; in cluttered environments with movable obstacles, however, reaching the goal may require physical interaction.Learned Terminal Costs for Short-Horizon Model Predictive Control of Autonomous Trucks in Interactive Highway Traffic
Autonomous highway driving for heavy-duty trucks is a challenging control problem.Gaussian Distillation of Flow Policies
Flow policies are among the strongest robot controllers and are well suited to modelling multimodal action distributions.MUSBRIC: LEGO-Compatible Pneumatic Muscle Bricks for Reconfigurable Musculoskeletal Robots
Musculoskeletal robots combine compliant actuators with articulated skeletons, but exploring alternative configurations often requires repeated fabrication.TouchBridge: Tactile-Conditioned Human-to-Robot Transfer for Dexterous Manipulation
Human demonstrations offer an efficient and scalable source of data for dexterous robot manipulation, but differences in sensing and hand morphology complicate the transfer of contact-rich…JEDI: Joint-Embedding Demonstration Compression for In-Context Imitation Learning
In-context imitation learning (ICIL) adapts robot policies through test-time demonstrations, but long multimodal trajectories constrain how many examples fit in context.Is It the Curriculum or Just the Easy Start? Benchmarking Unsupervised Environment Design on Quadrupeds
Unsupervised environment design (UED) methods such as PLR, ACCEL, SFL and PAIRED are compared mostly on 2D mazes, grid worlds and BipedalWalker, while terrain curricula for legged robots are…The Athlete as a Scientist of One: Agentic Bayesian Experimental Design for Individualized Physiology from Consumer Wearables
Large language model (LLM) agents for personal health read wearable data and recommend, but do not learn about the individual in a way that can be audited or falsified.HiFOR: Hierarchical Foresight with Action-Guided World Grounding for Vision-Language-Action Model
Vision-Language-Action (VLA) models have demonstrated promising capabilities in robotic manipulation by integrating visual perception, language understanding, and action generation.