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 38
MOTIO: Agentic Skill Engineering for Reality-Grounded Humanoid Loco-Manipulation
We present MOTIO, an agentic skill-engineering system that turns ordinary human-action videos, reality-grounded 3D assets, motion references, and reusable robot skills into executable humanoid…SCET-CBF: Speed-Calibrated Soft Guidance for One-Step Dynamic Navigation
Control barrier functions (CBFs) support collision avoidance, yet dense dynamic encounters can leave a vehicle with no feasible command.A Differentiable Chassis Safety Layer for Intelligent Vehicle Motion Control
Learning-based vehicle motion control requires coordination between diverse task objectives and state-dependent chassis safety constraints.MDPO: Multi-constraint Dexterous Policy Optimization with Reinforcement Learning
Dexterous manipulation requires high-dimensional control policies to accomplish complex contact-rich tasks while simultaneously satisfying multiple safety requirements, such as joint limits, unsafe…Learning Dexterous Manipulation: Hands, Simulators, Training, and Evaluation
A dexterous hand can change an object's pose without setting it down.ReSight: Task-Driven Self-Improving Memory for Embodied Agents
Robots can use historical observations to answer spatiotemporal queries in familiar environments, but the presence of relevant evidence does not imply that existing tools support the operations a…MimicAll: Structured Embodiment Conditioning for Cross-Humanoid Whole-Body Motion Tracking
Humanoid motion trackers reproduce diverse behaviors, but sharing a policy across bodies requires accounting for differences in structure, morphology and dynamics.MOON: Learning When to Forget and How to Move On in Vision-and-Language Navigation
Recent vision-and-language navigation (VLN) policies act on their visual history, and an incorrect action can take them off the instructed route.WorldFailBench: Do World Models Understand Policy Failures?
Robot policy evaluation informs deployment decisions and policy improvement, but physical testing and simulator preparation require substantial effort.Memory-Aware Keyframe Management for Dense Maps on Memory-Constrained Robots
Running a language model and a dense 3D map on one device means the two share one memory, and exceeding its limit is an out-of-memory failure.Replicate What Varies: Resource Sharing for Domain-Randomized Embodied Simulation
Simulation provides a low-cost sandbox where embodied agents can attempt tasks, observe outcomes, and learn from experience.HA-DiPO: Diffusion Policy Optimization for Heterogeneous Cooperative Transport
Cooperative transport with heterogeneous legged robots requires coordinating different motion capabilities while supporting an unfixed shared payload.HARP: Handoff-Aware Recovery Planning for Active Target Acquisition in Multi-UAV Handoff
Continuous aerial tracking often requires multiple drones to maintain target coverage over long periods.Energy-Based Fault Detection and Isolation Framework for Flat Port-Hamiltonian Mechanical Systems
Fault diagnosis during regulated motion requires informative signals even when feedback attenuates tracking deviations.EXE: Egocentric Cross-Embodiment Pretraining via Factorized Latent Actions for VLA Models
Vision-Language-Action (VLA) models are bottlenecked by the scarcity of robot data.Open-World Law-to-Action: Vision-Language Priors and Touch for Parts with Hidden Physics
A robot in a home it has never seen must open doors, drawers, lids and taps whose physics a picture does not show.Quantum Closed Loop Inverse Kinematics Through Hilbert-Space Encoding of Robot Kinematics
The integration of quantum computing into robotics requires mathematical representations that preserve the geometric structure and configuration dependence of robot motion.RoboJev: An Open Vision-Language Judge for Robot Success Detection
Many robot manipulation videos do not indicate whether the task was successfully completed.Floor Friction Assessment from Robot Tire-Surface Interaction
Floor traction influences wheel-slip behavior, dead-reckoning accuracy, and the navigation performance of wheeled mobile robots that rely on wheel odometry.POD-RoPE: Rotary Position Encoding over Physical Observation Distributions for Embodied AI
Embodied perception requires positional representations that capture both physical geometry and the spatial and temporal extent of observations.