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 151
Active 3D weaves for load-bearing and damage-resilient locomotion
The craft of weaving, where different materials are interlaced, has tremendous potential for creating active and functional systems for use in soft robots, prosthetics, wearables, exoskeletons, and…SAMBAR: Selective Anchoring via Method of Multipliers for Balanced Knowledge Acquisition and Retention in Vision-Language-Action Models
Vision-Language-Action (VLA) models leverage large-scale pretraining to ultimately achieve generalist manipulation.Residual Denoising Enables Sample-Efficient Multi-Agent Coordination on Demand
Pretrained robot policies offer strong manipulation skills but are typically limited to single-agent settings, where a robot acts in isolation.GAUGE: Planner-Conditioned Active Calibration of Opaque Quadruped Velocity Interfaces
In this paper, we present a Goal-Aware Uncertainty-Guided Exploration (GAUGE) framework for planner-conditioned active calibration of opaque quadruped velocity interfaces.RecastVLA: From Past Interaction to Future Control with Adaptive Policy States
Sequential manipulation requires a robot to track what has already happened, even when the current scene no longer reveals it.AquaBEV-Nav: Learned BEV Occupancy for Underwater Navigation and Exploration
Safe underwater exploration requires a robot to understand where surrounding structures are located and which regions are available for motion.CausalDriveBench: Evaluating Causal Reasoning in Vision-Language-Action Models for Autonomous Driving
Vision-Language-Action (VLA) models for autonomous driving produce natural-language reasoning alongside predicted trajectories, but whether this reasoning reflects the causal structure of the scene…FutureRay: Control-Aligned Future Range for Agile Quadruped Navigation
Moving obstacles can block a previously clear route while a quadruped robot executes a motion command.Skeletons in Flow: Graph Structured Flow Matching for Human Motion Prediction
Human motion prediction requires diverse future trajectories that remain consistent with observed motion and the articulated physical structure of the body.RoboFFT: Finetuning generative robot policy via online reinforcement learning with forward process
Generative models, such as diffusion and flow-based models, have shown strong promise for robot policy learning by capturing complex and multimodal action distributions from demonstrations.Federated Subspace Guided Vision-Language-Action Policy Distillation for Non-IID Multi-Robot Manipulation
Federated learning offers a natural way for multiple robots to jointly improve manipulation policies without requiring centralized access to training demonstrations.DS-VLA: A Dendritic-inspired Vision-Language-Action Model for Robust Action Control
Vision-language-action (VLA) models have achieved strong performance in language-conditioned manipulation, yet success under nominal evaluation does not necessarily translate into robust closed-loop…Affordance-Conditioned Decision Making: Bridging the Semantic-Spatial Gap in Zero-Shot Cross-Floor Vision-and-Language Navigation
Vision-and-language navigation increasingly relies on general-purpose semantic planners, yet translating correct high-level intent into reliable physical execution remains difficult in spatially…MemTransfer: Benchmarking Memory Beyond Matched Experience in Embodied Decision-Making
Memory lets an embodied agent reuse past experience, yet retaining useful information does not ensure that the agent can apply it when conditions change.WSM-Aware HRI: An IoT-Enhanced Framework for Early Detection and Norm-Guided Repair of Failures with LLM Guidance
Human-robot interaction (HRI) failures remain a major barrier to deploying robots in real-world environments.Human Motion Prediction for Human-Robot Collaboration
This paper compares three human motion prediction methods - GMM-based clustering, TransFusion, and Graph-Mixer - evaluating their effectiveness in human-robot collaboration.Proactive Motion Planning for Human-Robot Cooperation
This abstract addresses the incorporation of human motion prediction into proactive and dynamic human-aware motion planning, with the goal of enabling safe collaboration between humans and robots.Endo-TSR: Temporal Spectral Modeling of Appearance and Motion for Endoscopic Reconstruction
Endoscopic scene reconstruction requires modeling tissue motion and temporal appearance while recovering fine surface detail.RE-0: Verified Recursive Improvement of Embodied Code-as-Policy Agents through Local On-Policy Distillation
Code-as-Policy agents accomplish long-horizon embodied tasks by generating and executing code, yet continually improving them with teachers that are stronger but not globally reliable remains a key…DRAM: Delta-rule Recurrent Associative Memory for Robot Manipulation Policies
Robotic manipulation is inherently history-dependent, yet most pretrained robotic policies condition on only the current observation or a short temporal window.