Overview

Robotic manipulation studies how machines use sensing and motion to change objects and environments, from picking and assembly to tool use and handling deformable materials. Approaches combine geometric planning and force or impedance control with imitation learning, reinforcement learning, diffusion policies, and vision-language-action models; world models, memory, tactile feedback, and human-video demonstrations are also used. Methods are tested in simulation and on real robots using suites such as LIBERO, RoboTwin, ManiSkill, and RLBench, across clutter, bimanual coordination, mobile manipulation, and precision contact tasks. A central challenge is turning benchmark performance into safe, reliable long-horizon behavior across new objects, cameras, robot bodies, and real-world dynamics, while limiting data collection and inference costs.

Latest papers

CardsList

1,685 papers341 papers in the last four weeks, up 29% on the four weeks before. 2.0% of all new papers.

  1. COFFAIL: A Dataset of Successful and Anomalous Robot Skill Executions in the Context of Coffee Preparation

    Apr 20, 2026Alex Mitrevski, Ayush SalunkeRobot Skill LearningRobotic Data Collection

  2. ST-ππ: Structured SpatioTemporal VLA for Robotic Manipulation

    Apr 20, 2026Chuanhao Ma, Hanyu Zhou, Shihan Peng +3Language-Conditioned Robot ManipulationRobotics

  3. OFlow: Injecting Object-Aware Temporal Flow Matching for Robust Robotic Manipulation

    Apr 20, 2026Kuanning Wang, Ke Fan, Chenhao Qiu +5VLM RobustnessFlow Matching

  4. ReFineVLA: Multimodal Reasoning-Aware Generalist Robotic Policies via Teacher-Guided Fine-Tuning

    Apr 20, 2026Tuan Van Vo, Tan Q. Nguyen, Khang Nguyen +5Robotic ManipulationVLM Reasoning

  5. AnchorRefine: Synergy-Manipulation Based on Trajectory Anchor and Residual Refinement for Vision-Language-Action Models

    Apr 20, 2026Tingzheng Jia, Kan Guo, Lanping Qian +6Robot Policy LearningLanguage-Conditioned Robot Manipulation

  6. MM-Hand: A 21-DOF Multi-modal Modular Dexterous Robotic Hand with Remote Actuation

    Apr 19, 2026Zhuoheng Li, Qingquan Lin, Checheng Yu +5Robotic Hand DesignDexterous Manipulation

  7. Rewind-IL: Online Failure Detection and State Respawning for Imitation Learning

    Apr 17, 2026Gehan Zheng, Sanjay Seenivasan, Matthew Johnson-Roberson +1Robot Failure DetectionRobot Failure Recovery

  8. Emergency Stopping for Liquid-manipulating Robots

    Apr 17, 2026Samuli Hynninen, Ville KyrkiRobotic ControlRobot Safety

  9. VADF: Vision-Adaptive Diffusion Policy Framework for Efficient Robotic Manipulation

    Apr 17, 2026Xinglei Yu, Zhenyang Liu, Shufeng Nan +2Adaptive InferenceDiffusion Policy

  10. Continual Hand-Eye Calibration for Open-world Robotic Manipulation

    Apr 17, 2026Fazeng Li, Gan Sun, Chenxi Liu +3Hand-Eye CalibrationCamera Pose Estimation

  11. One-Shot Cross-Geometry Skill Transfer through Part Decomposition

    Apr 16, 2026Skye Thompson, Ondrej Biza, George KonidarisRobot Skill LearningGeneralization in Robotic Manipulation

  12. A Hierarchical Spatiotemporal Action Tokenizer for In-Context Imitation Learning in Robotics

    Apr 16, 2026Fawad Javed Fateh, Ali Shah Ali, Murad Popattia +4ICL for RoboticsVector Quantization

  13. DockAnywhere: Data-Efficient Visuomotor Policy Learning for Mobile Manipulation via Novel Demonstration Generation

    Apr 16, 2026Ziyu Shan, Yuheng Zhou, Gaoyuan Wu +3Mobile ManipulationGeneralization in Robotic Manipulation

  14. Differentiable Object Pose Connectivity Metrics for Regrasp Sequence Optimization

    Apr 16, 2026Liang Qin, Weiwei Wan, Kensuke HaradaRobotic GraspingRobotic Manipulation

  15. HiVLA: A Visual-Grounded-Centric Hierarchical Embodied Manipulation System

    Apr 15, 2026Tianshuo Yang, Guanyu Chen, Yutian Chen +8Hierarchical Robot ControlVisual Grounding for Robotics

  16. Scale-Invariant Sampling in Multi-Arm Bandit Motion Planning for Object Extraction

    Apr 15, 2026Servet B. Bayraktar, Andreas Orthey, Marc ToussaintSampling-Based Motion PlanningRobot Task Planning

  17. Vision-Language-Action Jump-Starting for Reinforcement Learning Robotic Agents

    Apr 15, 2026Angelo Moroncelli, Roberto Zanetti, Marco Maccarini +1RL for RoboticsData-Efficient Robot Learning

  18. Evolvable Embodied Agent for Robotic Manipulation via Long Short-Term Reflection and Optimization

    Apr 15, 2026Jianzong Wang, Botao Zhao, Yayun He +2Self-Evolving AgentsRobotic Manipulation

  19. Robotic Manipulation is Vision-to-Geometry Mapping: Vision-Geometry Backbones over Language and Video Models

    Apr 14, 2026Zijian Song, Qichang Li, Jiawei Zhou +4Robotic ManipulationVision-Based Robot Control

  20. Frequency-aware decomposition learning for sensorless wrench estimation in vibration-rich robotic contact

    Apr 14, 2026Hyeonbeen Lee, Min-Jae Jung, Tae-Kyeong Yeu +4Contact-Rich Robotic ManipulationFrequency-Domain Feature Learning

  21. Disentangled Point Diffusion for Precise Object Placement

    Apr 13, 2026Lyuxing He, Eric Cai, Shobhit Aggarwal +2Robotic ManipulationGeneralization in Robotic Manipulation

  22. Identifying and Exploiting Structure in Robot Co-Design

    Apr 13, 2026Apoorv Vaish, Oliver BrockRobot Morphology-Control Co-DesignRobotic Manipulation