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 172
Design and Modeling of a Single-Port Three-Arm Robotic Tool for Minimally Invasive Neurosurgery
Surgical robots require highly dexterous and compact robotic systems capable of operating effectively within confined anatomical spaces.Planning Trajectories that Bounce: Reflection Classes for Collision-Tolerant Robots
Robot navigation methods tend to avoid contact, and consequently search for collision-free trajectories.HINT-Blimp: Human INTent Inference from Multimodal Cues for Robotic Blimps
In human-robot interaction, traditional interfaces such as joysticks and handheld tablets introduce latency into navigation tasks and require the operator's explicit attention on the device, instead…Fine Wrist Control as a Marker of Surgical Teleoperation Expertise
Unlike most intensely physical pursuits, surgical robotic teleoperation training focuses primarily on task outcomes rather than surgeon body posture or biomechanics during task completion.Median Temporal Ensembling: Training-Free Robust Aggregation for Action-Chunked Visuomotor Policies
Action-chunked visuomotor policies predict overlapping trajectories, so every executed action is covered by several predictions.AeRSoM: An Aerial Rigid-Soft Integrated Manipulator for Contact-Rich Manipulation
Contact-rich aerial manipulation remains fundamentally challenging because interaction forces are directly transmitted to the aerial platform, often leading to instability and degraded task…Know Your Body: A Harness for Direct and Self-Improving Robot Control with VLMs
A general-purpose vision-language model can understand a task goal without knowing how a particular robot's motion and functional parts produce the intended effect.Colon3R: Cross-Domain 3D Reconstruction from Monocular Colonoscopic Video
Monocular colonoscopic 3D reconstruction is important for surgical robotic colonoscopy, but remains challenging due to weak texture, specular reflections, limited view overlap, and non-rigid tissue…Opt2VLA: Force-Aware Vision-Language-Action for Contact-Rich Humanoid Whole-Body Manipulation
Humanoid robots are expected to perform diverse human-level tasks in daily environments, many of which require precise regulation of interaction forces.Anticipatory Robot Goalkeeping via Monotone Optimal Stopping
Robots engaged in fast physical interactions often need to act before the intent of another agent is fully known.RoboTalk: Learning Multi-Robot Communication and Coordination from Multimodal Demonstrations
Multi-robot collaboration could enable more efficient and scalable solutions to complex robotic tasks, but collaboration under partial observability remains challenging.Imagine-RL: Residual-Confidence-Guided Cross-Attention for World-Model-Augmented VLA Reinforcement Learning
Reliable action evaluation in contact-rich manipulation requires looking beyond the current observation to future visual and contact consequences.What Matters in Designing World Action Models: An Empirical Study
World Action Models (WAMs) have emerged as a promising paradigm for generalizable robot control.AquaOrbit: Sim-to-Real Reinforcement Learning for Underwater Target Orbiting under Intermittent Visual Feedback
Intermittent visual loss disrupts target-relative feedback during underwater orbiting, making it difficult to maintain coordinated motion and reacquire a moving target.Toward Human-in-the-Loop Robot Failure Recovery: Bridging Communication Gaps in Human-Robot Collaboration
Robots can recover from failures by asking bystanders for help, but effective human-in-the-loop recovery requires communication that accounts for differences in people's knowledge.Automatic Labelling for Bimanual Mobile Manipulation
Semantically meaningful subtask labels can provide useful contexts for long-horizon policies, but automatically identifying both reliable temporal boundaries and broad semantic descriptions for…Safety Control of a Hyper-redundant Robot via Adaptive Weighted Control Barrier Functions
Hyper-redundant robots are well suited for confined-space manipulation due to their high dexterity, but safe operation in cluttered environments remains challenging.When Does Touch Matter? Charting the Vision-Interaction Gap in Cluttered Dexterous Grasping
Dexterous grasping in clutter poses a basic sensing question: when do tactile measurements and external wrench estimates improve on visual geometry?Dexterous Robot Manipulation from Human Demonstrations via Contact-Anchored Retargeting and Residual Policy Learning
Learning dexterous manipulation from demonstrations is bottlenecked by data: the contact forces that determine whether a grasp succeeds are absent from every scalable source of human demonstrations.Ask Before It Tells: Benchmark-to-Robot Body-Cue Transfer for a Question-First Bedside Robot
Body-cue recognition can support assistive robots, but benchmark accuracy does not guarantee reliable behavior under a robot-camera viewpoint.