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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AuRaSim: A Ray-Tracing Based Automotive FMCW Radar Simulator for Dynamic Scenarios
Modern simulators can generate synthetic camera and LiDAR data with accurate annotations for downstream tasks.Multi-Agent Reinforcement Learning of Co-Adaptive Hip Exoskeleton Control (MARL-Exo) for Metabolic Energy Reduction
This study aims to determine whether a hip-exoskeleton policy trained in simulation, by co-adapting with a musculoskeletal human model under a metabolic-energy reward, reduces the metabolic cost of…Electric-Field Induction Motor with Discrete Circuit Elements and Improved Rotor Dynamics
Electric-field-based actuators and machines lead the design space at the nanoscale and in biological systems, while having the potential to be used in favorable macroscale applications which…Ego-CEVR: Learning Cross-Embodiment Visual Representations from Human Egocentric Videos
As egocentric video becomes increasingly available for embodied learning, an important research question is how to turn this low-cost, scalable source of data into robot manipulation capabilities.World Dreamer v5-lite: A Multi-Robot World Action Model with One Dreamer
Multi-robot control requires integrating distributed camera views while predicting separate action sequences.Leveraging Distributed Sensing and Hyperdimensional Computing for Non-Line-of-Sight Passive Object Sensing
In smart factory environments, passive entities such as humans and movable obstacles may interfere with autonomous robot operations, posing significant safety risks.Which Hand Was Late? Diagnosis for Robot Failure Recovery in Bimanual Tool Use
Failure diagnosers for robot manipulation are increasingly vision--language models (VLMs), trained and evaluated on single-arm failures produced by perturbing a successful demonstration.Predict the Swing, Match the Speed: Robotic Pipe Stabbing With Learned Stereo Vision and Residual Reinforcement Learning
A joint of pipe run into the hole swings from the elevator over the well and strikes a fixed stabbing guide at whatever speed the swing has.Rendering-Free Event Frame Simulation for Fast Reinforcement Learning of Autonomous Robot Navigation
Event cameras offer low latency, high dynamic range, and milliwatt-level power consumption, making them ideal for agile robots such as tiny drones navigating through cluttered environments.When, Where, and What to Correct: Human-Guided Adaptive Residual Correction for Robot Policies
Imitation policies that reliably execute most of a manipulation trajectory can still fail in localized regions requiring last-mile precision.Kinematic Constraint-Referenced Evaluation for Articulated Object Manipulation
Manipulation policies are evaluated predominantly by binary task success, which cannot tell whether the commanded gesture is the one the object's kinematics admit.Learning Visuomotor Quadrotor Flight Through Dynamic Narrow Gaps via Differentiable Simulation
Threading a quadrotor through a moving narrow gap is a demanding test of agile flight, requiring centimeter-level spatial alignment and precise temporal execution.EgoThumb: A Vision-Driven Supernumerary Robotic Thumb for Autonomous Grasp and Holding Assistance
Supernumerary robotic fingers augment human dexterity by enabling a single hand to perform complex "hold-and-manipulate" tasks that typically require bimanual coordination.RESPLE2: Inertial-Informed Recursive Non-Uniform Spline Estimation for Multi-Sensor Odometry with Global Refinement
We present RESPLE2, a recursive multi-sensor state estimation framework using non-uniform B-splines for 6-DoF motion representation.Perceiving and Predicting Dynamic Sports: Spatiotemporal Intelligence in Vision Models for Egocentric Tennis Video
Agile robots require spatiotemporal intelligence to interpret scenes, reason about interactions, and anticipate future events.Dexterous In-Hand Object Pose Reaching with Learned Safety Filters
Dexterous manipulation with multi-fingered hands is the next frontier of robotics, yet learned hand skills remain limited to simple grasps or basic repeated motions, such as rotating an object.ThinkWorld: World Imagination Reinforces Chain-of-Dynamics Reasoning
Vision-Language-Action (VLA) models have made substantial progress in robotic manipulation, but their generalization remains constrained by the diversity and coverage of action-labeled robot…DexSuite: An All-in-One Framework for Dexterous Manipulation Across Arms, Hands, and Tasks
Human-level dexterity remains a central open problem in robotics, yet few simulation frameworks cover the full workflow of dexterous manipulation, from setting up a robot to collecting dexterous…An Empirical Study of Wrist-Target Construction and Joint-Angle Limits in Humanoid Arm Retargeting
Motion retargeting maps a demonstrated human movement onto a robot to compute its joint motion.TACOS: Terrain-Aware COntact Supervision for Visual Footstep Planning
Humans navigate their environment based on their vision system, anticipating how the ground will respond before committing to a step.