Research

Papers

New robotics and physical-AI papers, with what each one means for the industry.

2 papers

TopicAll Manipulation · 27 VLA · 22 Perception · 12 Robotics · 11 Navigation · 10 Humanoid · 9 Learning · 8 Safety · 5 World Action Models · 4 Simulation · 3 Aerial manipulation · 2 Dexterous manipulation · 2 Sim-to-Real Manipulation · 2 Social Navigation · 2 Vision-Language Navigation · 2 World models · 2 World-action model · 2 3D Assembly · 1 3DGS dataset · 1 5G Simulation · 1 AMR Operations · 1 Active vision manipulation · 1 Adaptive MPC · 1 Adaptive action horizons · 1 Adaptive intervention · 1 Aerial · 1 Aerial Manipulation · 1 Aerial navigation · 1 Agricultural Robotics · 1 Articulation Estimation · 1 Autonomous Driving · 1 Autonomous Exploration · 1 Battery-aware RL · 1 Belief-space planning · 1 Bimanual Manipulation · 1 Byzantine localization · 1 Canal inspection · 1 Co-speech Humanoid · 1 Compositional Manipulation · 1 Construction navigation · 1 Contact-Rich Manipulation · 1 Contact-rich Manipulation · 1 Continuum sensing · 1 Curriculum RL · 1 Dexterous Manipulation · 1 Distributed Manipulation · 1 Distribution Shift · 1 Driving Simulation · 1 Efficient VIO · 1 Egocentric data · 1 Egocentric video · 1 Embodied Agents · 1 Embodied policy · 1 Empowerment MPC · 1 Endoscopic navigation · 1 Endovascular robotics · 1 Event-camera VO · 1 Exoskeletons · 1 Failure recovery · 1 Federated 3D Perception · 1 Fisheye detection · 1 Floorplan SLAM · 1 Geometry-aware manipulation · 1 Grasping · 1 Grounding · 1 Humanoid Control · 1 Humanoid RL · 1 Humanoid Tool Use · 1 Humanoid control · 1 Humanoid loco-manipulation · 1 Humanoid safety · 1 Imitation Learning · 1 JEPA World Models · 1 Lab automation · 1 Laboratory Manipulation · 1 Latent World Models · 1 Legged Manipulation · 1 LiDAR Security · 1 Lifelong RL · 1 Locomotion · 1 MAPF · 1 MAV guidance · 1 Manipulation LfD · 1 Manipulation Safety · 1 Marine simulation · 1 Memory-centric VLA · 1 Miniature Locomotion · 1 Mining Perception · 1 Mobile manipulation · 1 Model-based RL · 1 Monocular SSC · 1 Motion Planning · 1 Multi-Agent RL · 1 Multi-Robot Exploration · 1 Multi-Robot Manipulation · 1 Multi-UAV Exploration · 1 Multi-UAV State Estimation · 1 Multi-agent RL · 1 Multi-agent motion planning · 1 Multi-camera odometry · 1 Multi-fidelity RL · 1 Multi-robot manipulation · 1 Multi-skill Manipulation · 1 Multi-view perception · 1 Multimodal simulation · 1 Navigation & Mapping · 1 Object Pose Estimation · 1 Object Search · 1 Panoramic 3D Detection · 1 Panoramic segmentation · 1 Pedestrian tracking · 1 PersonNav · 1 Planning · 1 Policy · 1 Policy Optimization · 1 Preference Learning · 1 Quadruped locomotion · 1 Real-time VLA · 1 Real-to-sim · 1 Representation alignment · 1 Robot-Use Agents · 1 Runtime Verification · 1 Safe Generative Planning · 1 Safe RL-MPC · 1 Safe VLA · 1 Safety monitoring · 1 Safety-critical control · 1 Sim-to-real Navigation · 1 Sim-to-real manipulation · 1 Simulation geometry · 1 Skill Discovery · 1 Social navigation · 1 Soft Pneumatic Actuators · 1 Soft manipulation · 1 Sonar SLAM · 1 Streaming 3D reconstruction · 1 Submovement decomposition · 1 Surgical robotics · 1 Tactile · 1 Tactile Exploration · 1 Tactile VLA · 1 Temporal manipulation · 1 Terrain traversability · 1 Text-to-3D Policy · 1 Tool Co-Design · 1 Trajectory Correction · 1 Traversability · 1 UAV Navigation · 1 UAV Swarms · 1 UAV traffic monitoring · 1 Underwater Robotics · 1 Underwater active mapping · 1 Underwater perception · 1 Unified world-action model · 1 VLA Conditioning · 1 VLA Defense · 1 VLA Robustness · 1 VLA evaluation · 1 VLA manipulation · 1 VLA robustness · 1 Video world models · 1 Visual Generalization · 1 Visual Grounding · 1 Visual Reward Models · 1 Visuomotor Fusion · 1 Visuotactile manipulation · 1 World Models · 1 World-Action Models · 1

LevelAny Beginner Intermediate Expert

Filtered by technology dexterous-manipulation · clear

Oct 9, 2026arXiv

ManipulationExpert

AutoBio+: Benchmarking Dexterous Manipulation with Dynamic Experimental Phenomena in Realistic Laboratories

Xuanye Wu, Yue Shi, Yongcan Yang, Yiqun Wang, Zhaoqi Wan, Dayu Xia, Jiezhang Cao, Xiangfei Li, Yao Mu, Guangtao Zhai

Automating biological laboratories requires robots to perform dexterous tool interactions under realistic visual conditions while handling dynamic experimental phenomena, presenting significant challenges for robotic manipulation. To enable systematic evaluation under these conditions, we introduce AutoBio+, a simulation benchmark and framework for dexterous manipulation in realistic biological laboratory environments.

Dexterous Manipulation

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Oct 9, 2026arXiv

ManipulationExpert

Human2Dex: Dexterous Robot Learning from Wrist-Centric Human Demonstrations

Jiachen Zhang, Yuanyuan Li, Shaqi Luo

Collecting dexterous manipulation demonstrations for each robot hand requires repeated task-specific data acquisition. We ask whether one shared corpus of natural human demonstrations can instead serve as a reusable data interface for different dexterous hands, without collecting task demonstrations on each target robot.

Dexterous Manipulation

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Topic pages

Manipulation · 27 VLA · 21 Perception · 12 General robotics · 11 Navigation · 10 Humanoid · 9 Robot learning · 8 Safety · 5 World Action Models · 5 Simulation · 3 Aerial manipulation · 3 Dexterous manipulation · 3 Sim-to-Real Manipulation · 3 Social Navigation · 3

Papers come from arXiv robotics feeds. Where our summary is not written yet, you see the opening lines of the abstract.