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 128
DODGER: Safety-Guided Reinforcement Learning for Robot Navigation Among Dynamic Obstacles
Robots operating in human-centered environments must safely navigate among multiple dynamic obstacles to avoid collisions with people and surrounding infrastructure.Benchmarking and Enhancing Skill-Level Memory for Partially Observable Robotic Manipulation
Recent advances in robot learning have enabled manipulation policies to perform increasingly diverse tasks and generalize across environments.PRICE the Action Chunks: Physical Relational Credit Assignment for Embodied Reinforcement Learning
Outcome-based reinforcement learning (RL) post-trains vision--language--action policies using terminal success signals, but assigns the same trajectory-level advantage to every action chunk.EmbodiRSI: Recursive Self-Improvement for Data-Efficient Robot Adaptation
Adapting robot manipulation policies to new tasks and environments remains highly data-intensive, while the data needed for further improvement depends on the policy's current capabilities and…Local-Minimum Escaper: Programmatic Subgoal Generation for Robust Navigation in Unknown Environments
Mapless navigation in unknown and partially observable environments remains challenging for mobile robots, particularly when local minima prevent the robot from making progress toward its goal.DrivingBench: Can Vision-Language Models Drive a Toyota Corolla?
Frontier models excel at many digital benchmarks, yet their ability to drive a real car, an everyday human skill, remains largely untested.Fast and Scalable Multi-Agent Distribution Matching via Partitioned Optimal Transport
This paper presents a scalable optimal-transport-based framework for terminal distribution matching in multi-agent systems.Video2SwimFish: An Automated Pipeline for Reconstructing Controllable Fish Models and Biological Locomotion from Real Fish Videos
We present Video2SwimFish, an automated pipeline and benchmark for building controllable fish assets from real-fish videos for underwater embodied AI.Refusals That Bend: Measuring and Predicting Task Malleability in Embodied VLM Planners
Embodied vision-language models (VLMs) are increasingly deployed as high-level planners for robots because they generalize across diverse environments.SimEX: Simulation-Integrated Robotics AutoResearch
Coding agents powered by large language models (LLMs) have shown remarkable abilities to autonomously reason about and achieve goals in the digital world.Sparse-WAM: Accelerating World Action Models via Action-Guided Sparse Imagination
World-action models (WAMs) leverage pretrained video models to improve generalization in robot control by jointly predicting future visual states and actions.Cue the Flow: Steering Flow-Matching Policies for Open-World Delivery Manipulation
Open-world goods delivery requires mobile manipulators to follow free-form user instructions and manipulate potentially novel objects.NEXUS: Perceptive Whole-Body Control for Terrain-Adaptive Teleoperation
Whole-body teleoperation requires a humanoid robot to reproduce a human operator's behavior even when their terrains differ.Function beyond Form: Functional Correspondence for Cross-Embodiment Dexterous Grasp Generation
Cross-embodiment dexterous grasp generation remains challenging because robotic hands differ substantially in geometry, topology, and kinematics.OccluDex: Hierarchical 3D Visuo-Tactile Representation Learning for Egocentric Dexterous Manipulation under Self-Occlusion
Reliable dexterous manipulation requires continuous estimation of object geometry and hand-object contact throughout interaction.Make Code as Policy Great Again: Frontier Agents Write, Call, and Evolve Robot Tools
Frontier models can control robots, but reasoning through every reach, grasp, and retreat makes manipulation slow and token-intensive.Looking Back to Move Forward: Temporal Verification for Generative Robot Policies
Generative policies have emerged as a promising paradigm for robot learning, combining expressive generative action modeling with scalable imitation learning from large demonstration corpora.CLIPPER Beyond Shortlisting: Auditable Decision Support for Changing Municipal Micromobility Policies
In municipal planning workshops, planners and other stakeholders compare shared-micromobility parking policies by varying no-parking zones, retained sites, spacing, or area allocations.SteerQuant: Steering Quantization Error with Action-Guided Scaling in World-Action Models
World-action models (WAMs) jointly generate future world states and actions through iterative denoising, using shared weights to process heterogeneous semantic streams of video, proprioceptive, and…DiFF: Doppler-informed Flow Matching for Human Motion Flow
Perceiving human motion via privacy-preserving 4D millimeter-wave (mmWave) radar is critical for next-generation human-robot interaction (HRI), where point cloud scene flow serves as a foundational…