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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RoboPace: Contact-Aware Time-Optimal Retiming for Action-Chunk Policies
Robot manipulation data collection has been shifting from teleoperation toward robot-free demonstrations, through interfaces such as the Universal Manipulation Interface (UMI) or directly from human…YUBI-STAG: Contact and Semantic-Rich Alignment for VLAs via Automated Video-Language Grounding
Vision-Language-Action (VLA) models acquire broad manipulation capabilities via large-scale pretraining, yet eliciting them through language requires fine-grained alignment between instructions and…ΔWAM: Distilling Action Tangent Fields into World Action Models
World Action Models (WAM) improve robot policies by augmenting sparse action supervision with dense future prediction.Beyond Policy Support: Interaction Constrained Offline Reinforcement Learning for Autonomous Driving
Offline reinforcement learning enables reward-driven policy improvement from fixed datasets without requiring online exploration, making it particularly attractive in safety-critical domains.AeroEval: Staged Program and Execution Validation for AI-Generated Drone Missions
Large Language Models (LLMs) can generate drone programs from natural-language mission descriptions, but syntactically valid programs may still violate user intent, environmental constraints, and…On-Demand Robotic Assembly via Differentiable Geometric Part Repair
Transitioning from a digital design to a robotic assembly process currently requires months of expert manual tuning to reconcile part geometries with robotic constraints.End-to-End Autonomous Generation of Human Assembly Plans
Turning a CAD design into an assembly plan is still largely done by hand, requiring engineers to reason about geometric feasibility, tool access, stability, and the ergonomics of human assembly.UltraWorld: Learning Interactive Ultrasound World Models from Untracked Clinical Videos with Acoustic Sampling Map
World models can enable autonomous ultrasound scanning by predicting the outcomes of probe motions from local observations.Enhancing Robotic Perception and Adaptability through Sensor Fusion and Origami-Inspired Designs
Compact mobile robots must recover scene geometry under changing lighting and surface texture while working within tight payload and cost limits.Towards Accurate End-Effector Localization for UMI-Style Robotic Manipulation Teaching
Robot demonstration learning requires accurate and temporally complete end-effector localization during close-range manipulation and camera occlusion.A Scoping Review and Experimental Study on Reinforcement Learning from Human Feedback for Human-Robot Collaboration
Human-Robot Collaboration (HRC) can facilitate mass customisation in Industry 4.0, with Reinforcement Learning from Human Feedback (RLHF) representing a promising approach for developing safe…Juno: Taming Predictive Latents for Vision-Language-Action Models
Joint-embedding predictive architectures (JEPAs) predict masked or future observations in representation space, offering a natural source of predictive latents for vision-language-action (VLA) models.Many Ways to Succeed: Diversity-Driven RL Fine-Tuning for VLA Generalization
Reinforcement learning (RL) fine-tuning improves vision-language-action (VLA) policies through closed-loop experience, yet generalization beyond the fine-tuning distribution remains limited.Borrowed Eyes: Markerless Nano-UAV Flight with an Active Quadruped Observer
Nano unmanned aerial vehicles (nano-UAVs) can navigate confined spaces that larger robots cannot, but their payload capacity severely limits the sensors and compute available for self-localization…Decoding Neural Population Dynamics through Robotic Analog
Animal evidence shows that precise voluntary movements arise from rotational neural population dynamics in motor cortex, but their physical effects remain unknown.Tactile Reconstruction of Contact Task Frames and Forces for Hybrid Force/Motion Control
Hybrid force/motion control requires knowledge of the interaction force and of a task frame defining the force- and motion-controlled directions.Video-to-Model: Automatic Modeling of Deformable Linear Objects
This paper presents a video-to-model framework for automatically modeling the motion of a deformable suture thread from an input video.Distributed Motion Planning for Multi-Robot Systems under Topological Constraints
Efficient and distributed coordination of mobile robots is one of the main challenges in multi-robot systems.RealtimeWAM: How Fast Can I Run My World Action Model?
World Action Models (WAMs) combine visual dynamics modeling with action generation, but their high inference latency limits responsive robot control.Multi-Agent Coordination via Support-Preserving Distillation
Offline MARL increasingly relies on generative policies to model multimodal joint behavior, typically by distilling a centralized teacher into decentralized one-step actors under the CTDE.