Applied & Human-Centered · Computer Science & AI
Robotics
The newest papers in Robotics that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
4,418 papers, from 4 September 2026 to 5 November 2026: 4,418 arXiv preprints.
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Newest papers, page 51
Enumeration-Guided Training of Neural Hamilton-Jacobi Safety Certificates
Hamilton-Jacobi (HJ) reachability analysis offers formal safety guarantees for control systems, but training accurate neural certificates remains difficult, particularly when unsafe regions are hard…High-Precision RCM Motion for Ophthalmic Robotics via Hierarchical QP Control and Authority-Guided Recovery Planning
General-purpose manipulators can position ophthalmic instruments under a software Remote Centre of Motion (RCM).What Novice Operators See Changes What the Policy Learns: A User Study of Keypoint Hand Visual Representation for Teleoperated Demonstration
Imitation learning increasingly relies on novice operators, whose demonstrations fall short of experts' in number and inter-trial consistency.EventSync: Event-Driven Memory Updates for History-Dependent Manipulation
History-dependent robotic manipulation requires task context and interaction history, as the current observation alone is insufficient to determine the next action.Learning Tactile-Aware Hand Representations from Human Hand-Object Interaction Data
Tactile representation learning for dexterous manipulation often requires substantial robot-side data collection, limiting its scalability across different hands and sensors.LocoPilot: Single-Operator Bilateral Teleoperation for Loco-Manipulation Policy Learning
Learning loco-manipulation policies requires demonstrations that capture coordinated base and arm motion on the target embodiment.Knowing When to Stop Thinking: A Dissection of Expected Free Energy as a Test-Time Compute Controller for Latent World-Model Planning
A planner using a learned world model can improve its predicted outcome while choosing a worse action.PACT-VLA: Speculative Action-Chunk Verification with Pre-Commit Observations
Vision-language-action (VLA) policies are commonly deployed with asynchronous inference in real-world settings, where the next action chunk is generated while the robot is still executing the…Temporal Difference Learning of Probabilistic Reach-Avoid Value Functions
Reach-avoid sets, defining the states from which a task can be completed while avoiding unsafe regions, are fundamental tools for deploying robots in environments subject to disturbances and…FIT-MAC: A Closed-Loop Multi-Agent Framework for Robust Vision-Language-Action Models
Vision-language-action (VLA) models have achieved strong performance on standard robotic manipulation benchmarks.Interruption-Aware Recurrent Reinforcement Learning for UAS Navigation Under Temporary Overrides
Safe autonomous navigation of UASs requires tactical deconfliction to address conflicts that strategic coordination cannot prevent.De-Diffusing WAMs: Action-Sufficient Direct Prediction for Robot Control
Cascade world-action models (WAMs) use predicted visual futures to condition robot actions, but inherit costly iterative inference from diffusion-pretrained experts.Design and implementation of thermal control strategy for micro-size lunar exploration rover hakuto
The research focuses on the thermal interface design of the HAKUTO Rover Flight Model (FM) and its evaluation using the final thermal vacuum experiment.From Predictive Geometry to Action: Learning Complementary Predictive Representations for Embodied Manipulation
Effective manipulation requires a policy to capture not only about the current scene geometry, but also about how that geometry will evolve under interaction.Reasoning as a Distribution: Generative Plan Latents for Vision-Language-Action Models
Vision-Language-Action (VLA) policies increasingly reason before acting, but existing reasoning models compress this intermediate decision into a single representation.Perceives but Doesn't Brake: A Perception-Action Binding Gap in Reasoning Driving VLAs
Reasoning-augmented vision-language-action (VLA) driving models can perceive and reason about safety-critical hazards yet fail to translate that evidence into safe actions.Safe Multi-Robot Collaboration With Uniform Exclusion Using Trust
Robot swarms coordinate through directed, time-varying local communication links, some of which may be compromised to allow the transmission of arbitrary malicious data.Large Multimodal Models for Direct Robot Control: GPT-6 as a Beginning
Recent advances in visuospatial understanding and agentic reasoning enable direct robotic manipulation with general-purpose multimodal models, but their embodied capabilities remain poorly understood.Distributed Platoon Control for Safe and Smooth Crossing at an Unsignalized Intersection-Part I: Stability Analysis
We propose a distributed platoon controller that guarantees safe and smooth crossing of multi-vehicle systems at an unsignalized intersection.Reinforced Iterative Learning Control for elastic joint arms: Guaranteed cross-trajectory generalization under model uncertainties
Trajectory tracking for compliant robots is challenging due to nonlinear dynamics and modeling uncertainties, often requiring learning-based methods to avoid explicit parameter identification.