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 108
PhysEvo: Astra Can Act, Let It
Astra can act, yet reliable manipulation depends on the system through which it observes and controls the world.Shared-Roadmap Generation and Evaluator for Multi-Agent Path Planning Using Heterogeneous Graph Neural Network
Multi-agent path planning (MAPP) in continuous environments often relies on roadmaps to balance safety and search efficiency.MimicX: Policy-in-the-Loop Supervision Refinement for Video-Driven Humanoid Motion Tracking
Human videos provide rich motion targets for humanoid learning, yet visually plausible references can still produce persistent failures under physics-based execution.GUARD: Geometric Uncertainty-Aware Point Cloud Denoising and Segmentation for Robotic Hard Disk Drive Disassembly
Reliable robotic disassembly requires part-level representations that distinguish genuine component geometry from scanning and reconstruction artifacts.On the complexity of the single-move labeled token routing problem
In neutral-atom quantum computers, atoms are moved to target positions along paths of empty positions, and a target position may be reserved for one species of atom.Workhorse: Learning Robust Whole-Body Humanoid Loco-Manipulation from Human Data
Humanoid robots still struggle to plan contact-rich whole-body manipulation from egocentric RGB and proprioception.FlashNeRD: Performance-First Contact-Rich Neural Robot Dynamics
Compared with analytical physics, learned dynamics models promise robot simulation that is faster, inherently differentiable, and easily adaptable to real data.World Models Dream of Success: Diagnosing and Repairing Failure Insensitivity in Robot World Models
Robot world models support policy evaluation, planning, and synthetic data generation, but these applications require predictions that distinguish successful actions from failures.A Unified Kinematic Representation Enables Reusable Biological Joint Moment Estimation
Data-driven models that estimate physiological states, particularly biological joint moments, are widely used in exoskeleton control.geodex: A Library for Motion Planning on Riemannian Manifolds
Planning motions that respect the intrinsic geometry of a robot's configuration space, including its curvature and a configuration-dependent notion of cost, yields shorter, lower-energy, and more…Beyond Reconstruction: What Matters in Action Tokenization for Robot Policies?
Autoregressive action-token policies such as vision-language-action models require action tokenizers to translate discrete token sequences into precise control actions in continuous space.CAP: Codebook-Aligned Prediction for Tokenized Robot Policies
Action tokenization converts continuous robot actions into discrete symbols that can be modeled autoregressively.Embedded Evaluation of Task Admission Coalescing in Decentralized Multi-Robot Systems
Multi-robot task allocators in dynamic missions commonly admit newly released tasks immediately, potentially invoking allocation for each new arrival.StableGrasp: Reconstructing Physically Stable Human Hand Grasps from Single Images
Reconstructing a physically stable human grasp from a single RGB image is challenging because physically modeling grasps is itself difficult, and the problem requires estimating not only a visually…Belief-Space Planning with Planner-Conditioned Estimator Error under Intermittent Observations
Belief-space planners with separately designed or off-the-shelf estimators may have access to state-relevant information the estimator does not observe.Fast Planning for Multi-object Multi-target Throwing
Robot throwing has emerged as a promising technique for improving efficiency in logistics and warehouse automation, by enlarging the workspace and speeding up the process.Co-Evolving Robot Orchestrators and Policies through Deployment
Vision-language-action (VLA) policies trained on large datasets are capable within their training domains, yet they still fail to generalize to the variety of situations a robot meets in real-world…Teaching a Robot Dog New Tricks: Diverse Quadruped Skills via Combined Reinforcement and Imitation Learning with Adversarial Task Selection
Reinforcement Learning (RL) has enabled legged robots to perform a range of skills in single-task settings.FOCUS: Fine-Grained Open-Vocabulary Change Detection for Uncertainty-Aware Semi-Static Scenes
Autonomous robots operating over long periods must keep their environmental memory up to date as the world changes between visits.Spacecraft Rendezvous Trajectory Generation with Modular Constraints via Diffusion Model Composition
Emerging mission classes such as on-orbit servicing, satellite inspection, and active debris removal require trajectory design methods that are adaptable to a variety of mission scenarios.