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.
Get the few papers worth your time in Robotics every morning.
Follow Robotics and ReadSearch reads its new papers each day, then brings you the few worth reading, each with its key finding in a sentence.
Newest papers, page 167
Uncertainty-Gated Exploration Noise Suppresses Task Collapse in Online RL Fine-Tuning of a Flow-Matching Vision-Language-Action Policy
Online reinforcement learning fine-tuning of pretrained flow-matching vision-language-action (VLA) policies promises robots that keep learning after deployment, but continued updates often destroy…Calibration-Free Surface Normals Estimation in Vision-Based Tactile Sensing using Universal Photometric Stereo
Vision-based tactile sensors are a popular solution for capturing rich contact surface geometry.What Stops Recursive Self-Improvement in Robotics? Lessons from 123 Rounds of Agentic Skill Discovery
Can a robot improve itself the way coding agents now improve software?RoboMP-DINOv2: Prompts, Not Filters for Robust Robot Manipulation
Robot manipulation policies must generalize across visual shifts while preserving scene context relevant to action.A Deployment Study of Identity-Gated Drone Gesture Control
Vision-based gesture control accepts commands from any hand in the camera field of view, which is unsafe in shared indoor spaces.Digital Twin-Driven VR Teleoperation with Multi-View Spatial Perception for Surgical Robots
Current robot-assisted minimally-invasive surgery (RMIS) platforms provide a fixed console for the surgeon to view stereo endoscopic images and teleoperate instruments inside the patient.HABILIS Brain 0: Geometry-Change Supervision for Vision-Language-Action and Residual Flow Recovery
Vision-language-action policies benefit from geometric supervision, but current-frame geometry alone does not explicitly describe the changes associated with manipulation.IndustrialVLA-Bench: A Traceable Multi-Axis Evaluation of Open Robot Policy Models
Open robot policies increasingly follow two paradigms: vision-language-action models (VLAs) directly map observations and instructions to actions, whereas world-action models (WAMs) incorporate…Recording Hand-Held Laparoscopic Instrument Motion in the Operating Room: Magnetometer-Free Fusion of Inertial, Range and Visual Sensing
Most minimally invasive procedures are still performed with hand-held laparoscopic instruments, yet only the endoscopic video is retained; the instrument motion that expresses surgical skill, and…CableVLA: Simulation-Privileged Global-Local Representation Learning for Cable Routing
Cable routing requires coordinated control of global cable topology and changing local contacts.A Deployable Four-Finger Payload for Teleoperated Free-Flying Manipulation with Astrobee
This article presents a bimanual teleoperation pipeline and conceptual design of a deployable four-finger payload for intra-vehicular free-flyers.Relative Contact Velocity-Controlled Hand-Object Mechanism for Dexterous Tool Manipulation
This work investigates how to enable general multi-finger robotic hands to perform the complete tool manipulation process, which entails picking up a tool, loading it into a suitable pose, and then…From Instrument-Mounted Demonstrations to In-Vivo Execution: Learning Bimanual Laparoscopic Appendectomy Without Robot-Collected Demonstrations
Most minimally invasive surgery is still performed with hand-held laparoscopic instruments, and the surgeon's instrument kinematics are lost when the operation ends; only the endoscope video is kept.MachEmbodied-U0: Unified Understanding and Generation Model for Embodied Intelligence
General-purpose robot control requires models to understand task intent, identify where to interact, capture how the scene evolves, and generate precise actions.PAKT: Physically-Aligned Kinesthetic Teaching for Reinforcement Learning
Real-world reinforcement learning (RL) systems still struggle with the demands of contact-rich industrial manipulation, including micrometer-level precision, success rates above 99%, and human-level…DynaForge: Planning-Guided Residual Learning for Dynamic Manipulation Demonstration Generation
Dynamic object manipulation is essential for robots operating in real-world environments, yet methods for generating high-quality demonstrations remain limited.RoboFollow: Unveiling the Instruction Following Mirage in Embodied Agents
Modern embodied agents achieve impressive success rates, yet their actual instruction-following ability is far weaker than these numbers suggest.A Reconfigurable Bidirectional Cable-Driven Hip Exoskeleton with Swappable Bench/Backpack Dual-configuration Actuation
Hip exoskeletons provide an important hardware basis for lower-limb rehabilitation and locomotor assistance.Contact-Stable Deformable Tissue Simulation Using Implicit Integration and Live-Pose Grasp Constraints for Laparoscopic Surgery Robot Policy Evaluation
Closed-loop evaluation of surgical robots requires tissue that deforms, can be grasped and lifted, and reproduces the anatomy in which the robot will operate.Skill Sequence Planning for Collaborative Multi-Robot Construction
Robots have significant potential to automate construction processes.