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 9
Caging Vision-Language Navigation for Legged Robots via Barrier-Certified Safety Architecture
By harnessing the inherent commonsense capabilities of pretrained Large Language Models (LLMs) and Vision-Language Models (VLMs), current Vision-Language Action(VLA) models for legged robots excel…LLMs as MDP Designers: A Dependency-Aware Agentic Framework for Automated Robot Policy Generation
We investigate the automated generation of executable robot reinforcement learning (RL) policies from natural-language task descriptions.For You, Not for Everyone: Bystander-Aware Delivery of Critical Feedback in Robot Tutoring
Robots in shared settings may expose information intended for an individual user to nearby bystanders.HiLo-WAM: Decoupling Long-Horizon Task Evolution and Local Dynamics in World Action Models
World Action Models (WAMs) improve robotic manipulation by jointly modeling visual dynamics and robot actions.Haptic Shared Control for Multi-Robot Systems
Multi-agent systems offer significant advantages in terms of flexibility and redundancy, enabling the efficient distribution of complex tasks among multiple robots.DRAP: Dynamics-Risk Adaptive Plasticity for Continual Learning in Physical AI
Continual learning in physical AI differs from conventional continual learning because small per-step policy errors can accumulate over a trajectory.Do Agentic Policies Need to Look at Every Step? Geometric Abstraction for Reasoning and Action
Recent multimodal language models can reason directly about robot scenes, but it is unclear whether they need to repeatedly reinterpret raw visual observations at every step of an interaction.Trajectory Evaluation via Rollout-Free World Model for End-to-end Autonomous Driving
Although existing candidate trajectory evaluators have substantially improved end-to-end planning accuracy, their underlying mechanism remains suboptimal.Nested Field-of-View Barriers for Teleoperated Multi-Robot Relay Chains
Teleoperation of mobile robots in communication-denied environments requires maintaining a communication link while allowing the operator to maneuver freely.CRONOS: Benchmarking Non-Episodic Reinforcement Learning for Robotic Manipulation
Reinforcement learning (RL) is promising for adapting robot policies to unstructured real-world environments.Sparse Anchors for Visual Multi-Session Registration in Changing Environments
Repeated robotic monitoring requires localization across visits to the same environment, even if the environment changes.LoopQ: Fair, Closed-Loop Evaluation of Quantized Vision-Language-Action Models
Post-training quantization (PTQ) for vision-language-action (VLA) models promises smaller and faster VLA deployments.HLO-AMP: Hierarchical Loco-Manipulation from Object-Aware Motion Priors
Hierarchical pipelines for humanoid loco-manipulation typically pair a task-agnostic whole-body controller (WBC) with a downstream task policy.DexHOT: Learning Hand-Object Configuration Transfer for Dexterous Manipulation
Dexterous manipulation involves not only moving objects, but also arranging the hand around them to maintain useful contacts and enable subsequent actions.WayTrace: A Map-to-Language-to-Trace Hierarchy for Embodied Urban Navigation
Web services provide walking directions for nearly every city, but following them reliably over long routes remains challenging for autonomous robots.Asynchronous Robot Policies
Scaling vision-language foundation models has significantly advanced generalist robot manipulation, but the increased model scale introduces computational latency that degrades real-time physical…Synthesizing Dexterous Robot Demonstrations from Human Videos via Virtual Try-On
Robot foundation models have shown remarkable performance in robot control, yet adapting them to a new task still relies heavily on teleoperated demonstrations.PadLoc: Training-Free Floor-Plan Localization by Sparse Geometric Matching
We propose PadLoc, a training-free localization back-end that places a moving sensor within a known floor plan.Reality and Perceptual Gaps in Expressive Swarm Robotics
Moving robot swarms from simulation into the physical world can be difficult because small discrepancies in hardware, timing and communication can cascade across interacting robots and alter group…Should the Action Expert Train the VLM? Action-Token Supervision and Gradient Routing in Mixture-of-Transformer VLAs
Vision-language-action (VLA) models increasingly pair a pre-trained vision-language model (VLM) with a flow-matching expert that conditions its action predictions on the VLM's key-value…