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 205
An Information-Space Perspective to Scene Graph Sufficiency for Robotic Task Planning
Planning in complex environments requires task specifications grounded in representations that capture objects, relations, and affordances; scene graphs meet this need, but their size in large…Flow-Matched Motion Priors: Online Optimal-Transport Rewards for Imitation Learning
Learning a motion prior requires a reward that guides a policy from its current behavior toward demonstrated motion.Tracking the Ground: Online Lidar Identification of Robot-Induced Soil Deformation in Agricultural Environments
Agriculture faces many challenges, and robotic systems can play an important role in addressing them by improving the efficiency and sustainability of field operations.Volumetric Harmonic Field Navigation for Quadrotors
Quadrotor navigation in cluttered 3-D environments requires global guidance while local motion remains subject to collision and motion limits.Continuous Manifold-Decomposed Impedance Retargeting for Contact-Rich Imitation Learning
CMDIR extends Manifold-Decomposed Impedance Retargeting (MDIR) to transform fixed-impedance demonstrations into continuous variable-impedance controllers, which can also serve as structured…Bench2Dex: Benchmarking Visuo-Tactile Bimanual Dexterous Manipulation Across Dexterous Hands
Tactile sensing provides contact information that can be difficult to infer from vision alone, but tactile hardware for dexterous hands has not converged to a common design.JEPLO: Joint-Embedding Predictive Learning for LiDAR-Based Legged Locomotion
Light detection and ranging (LiDAR) remains less explored than RGB-D sensing for perceptive legged locomotion, and existing LiDAR-based approaches often rely on explicit mapping.Uncertainty-Guided Sparse Refinement for Action Chunking Transformer Policies
Learning chunk-based visuomotor policies for long-horizon robot manipulation remains challenging.DuctAM: A Duct-Assisted Quadrotor-Based Aerial Manipulator Enabling High-Force Push-and-Pull Interactions
Uncrewed Aerial Manipulators (UAMs) extend the capabilities of Uncrewed Aerial Vehicles (UAVs) from perception to physical interaction.WLA$^3$: World Latent Action Modeling for Semantics, Dynamics, and Kinematics
Scaling generalist policy models with heterogeneous data is limited by the lack of unified, low-noise action supervision.Goal-Oriented Communications for Physical AI: Design and Testbed
Physical AI relies on frequently-updated, latency-sensitive video stream to perceive, reason, and interact with the physical world, resulting in strict latency requirements with much higher data…SlipSense: Multimodal Tactile Learning for Low-Latency and Generalized Slip Detection
Slip detection is fundamental to dexterous manipulation, yet existing systems often lack precise characterization of detection latency and cross-platform generalization.Touch2Trace: Tactile-Driven Imitation Learning for Dexterous Cable Tracing
Dexterous manipulation of deformable objects demands continuous fingertip-level regulation of pressure, friction, and incipient slip.Beyond Single-Axis Testing: Paired Evaluation of Compound Robustness in Vision-Language-Action Policies
Vision-language-action policies are typically evaluated one perturbation at a time, providing a useful diagnosis of their sensitivity to individual distribution shifts.MessyMem: Learning-from-Doing Memory for Mobile Manipulation
Mobile manipulators deployed across many rooms and visits should improve with experience: after discovering that a cabinet is locked or finding an object in a drawer, the robot should reuse that…ResSafe: Learning Safety Filtering with Residual Reinforcement Learning for Humanoids
Safe control of humanoid robots remains challenging due to their high-dimensional dynamics, contact-rich interactions, and sensitivity to disturbances.Structure-Preserving Quantum Circuit Architectures for Robot Kinematics
Structured spatial data require quantum encodings that preserve geometric relations, expose measurable observables, and remain implementable on finite-depth hardware.Occupancy Network-Guided Autonomous Robotic Partial Nephrectomy
Autonomous soft-tissue cancer surgery has been limited to interventions on organ surfaces, because current systems cannot perceive and adapt to anatomy once it deforms or is cut.Tendon-Driven Continuum Robot with Modular Stiffness and In-Situ Self Pose Estimation
Continuum robots enable smooth shape morphing and safe interaction in confined environments.ConGraspXL: Controllable Constraint-Conditioned Dexterous Grasping Motion Synthesis
Dexterous grasping is usually conducted for specific tasks, leading to heterogeneous constraints such as specific approach directions, desired contact regions, specified wrist trajectories, and…