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 59
TILDE: Teacher-in-the-Loop Distillation from Embodied Foundation Models
Large-scale action pretraining equips Embodied Foundation Models (EFMs) with strong manipulation capabilities, with particular strengths in generalization and closed-loop robustness, but reproducing…Visual-Inertial Odometry for Ground Robots with Dynamic Camera-IMU Extrinsic Calibration
Visual-inertial odometry systems are often constrained by the assumption that sensors are rigidly mounted, which limits their adaptability in practical scenarios involving structural motion.Energy-Score Stabilized Attentive Mixture-Density Policy: A Lightweight Approach to Multimodal Robot Motion
For practical motion generation, it is essential to handle multimodality (multiple actions can be correct for the same observation) while maintaining low inference cost and strong generalization…AeroDASH: Asynchronous Vision-Language-Action Control for Continuous UAV Flight
Onboard inference latency creates a mismatch between the trajectories predicted by vision-language-action (VLA) policies and the ongoing motion of unmanned aerial vehicles (UAVs).T(R,O) Grasp++: Cross-Embodiment Dexterous Grasping in Cluttered Environments at Scale
Dexterous grasping in cluttered scenes remains a central challenge in robotic manipulation, as it requires high-dimensional hand coordination under complex object-environment constraints.Learning When to Adapt: Reactivity-Conditioned Residual Adaptation under Human-Robot Distribution Shift
Pedestrians differ in whether they respond to a robot, yet many RL policies assume all are non-reactive to prioritize safety.SurGPT: A Multi-Task Foundation Model for Robotic Surgical Skills Assessment and Gesture Recognition
The assessment of surgical skills in robotic surgery training has traditionally relied on subjective evaluations by human experts, creating bottlenecks in surgical education and limiting scalability.Intent-Informed Model Predictive Control for Shared Autonomy in Remote Manipulation Tasks
Shared autonomy is a control paradigm that combines human cognitive abilities with robot precision to enable effective remote manipulation in complex environments.Self-Crystallizing Behavior Trees: Amortizing Foundation-Model Reasoning into Deterministic Control for Autonomous Drones
Classical robot control, Finite State Machines and Behavior Trees (BTs), is deterministic and inspectable but fixed at design time: it fails on situations its designers did not anticipate.BiDex-100: A Comprehensive Benchmark for Bimanual Dexterous Manipulation Across 100+ Simulation Tasks
Bimanual manipulation with dexterous hands has attracted growing attention in research on robotic action models.CusADi2: Latency-Optimized Batch Computation of Robot Kinematics, Jacobians, and Hessians on the GPU
Trajectory optimization methods, from sampling-based zero-order to gradient-based first- and second-order approaches, require many evaluations of dynamical system functions, i.e., functions derived…AQUAACT: A Joystick-Level Underwater Teleoperation Dataset and Closed-Loop Benchmark
Underwater robots support a growing range of work, from inspecting offshore structures and pipelines to surveying reefs and accompanying divers.Adaptive Bendpoint Formation in Octopus-Inspired Soft Continuum Arms
Octopuses exhibit a powerful form of embodied intelligence from a highly adaptable soft body.DexGraspFlow: Topology-Aware SE(3) Flow Matching for Cross-Embodiment Dexterous Grasp Generation
Differences in hand geometry, joint parameterization, and kinematic topology pose challenges for cross-embodiment dexterous grasp generation.Gen2Dex: Learning Dexterous Manipulation from Simulation-Initialized Generated Video Demonstrations
Human video demonstrations provide rich manipulation strategies for dexterous manipulation learning.Tension Tells the Tail: Cable-Obstacle Interaction Sensing for Tethered Mobile Robot Navigation
Tethered mobile robots can sustain long-duration operation through continuous power supply and stable communication via their cables.Touch Where It Matters: Learning Local Tactile Policies for Fine-Grained Gripper Control
Visual imitation policies can organise task motion, yet contact-rich object use demands gripper adjustments beyond coarse opening and closing.GazeAct: A Human-Gaze-Annotated Manipulation Dataset for Attention-Regularized Policies
Vision-language-action (VLA) policies must ground language instructions in the right objects, contact points, and target locations for reliable manipulation.ContactBench 1.0: A Benchmark for Everyday Contact-Rich Robotic Manipulation
Contact-rich manipulation is essential to everyday activities, yet evaluating robots' ability to perform these activities remains challenging because of their diverse contact behaviors and the…MOMO: Human Motion from Moving Sounds
Human responses to sound depend not only on its semantic content, but also on the evolving spatial relationship between source and listener, conveyed through spatial audio and its temporal dynamics.