Contact-Rich Robotic Manipulation

Overview

This field studies how robots make and maintain useful contact with objects, where small errors in force, alignment, or friction can cause failure or damage. Approaches include tactile- and force-aware imitation learning and reinforcement learning, compliant and hybrid force-position control, contact-dynamics models, and planning methods that reason over contact modes. Recent work also brings these capabilities into vision-language-action policies and predictive world models, often using tactile feedback for fast corrections while vision guides the broader task. A central challenge is making policies safe and reliable across unseen objects, sensors, and real-world contact conditions, since more sensing or higher simulation fidelity does not consistently improve every task.

Latest papers

CardsList

420 papers78 papers in the last four weeks, down 4% on the four weeks before. 0.5% of all new papers.

  1. DAWN: Diffusion-based Alignment and unfastening Workflow Network

    Oct 29, 2026Hemant Kumar, Piyush Goenka, Nikhil ChopraRobotic ManipulationContact-Rich Robotic Manipulation

  2. TouchBridge: Tactile-Conditioned Human-to-Robot Transfer for Dexterous Manipulation

    Oct 29, 2026Haozhe Zhang, Gu Zhang, Zirui Zou +7Robotic ManipulationCross-Embodiment Robot Learning

  3. Kinematic-Tactile Aligned Dexterous Retargeting with Contact Wrench Space Alignment

    Oct 29, 2026Xinyuan He, Ziheng Xu, Yueyuan Chen +6Motion RetargetingDexterous Manipulation

  4. Keeping Contact: Task-Adaptive Friction Margins for Bimanual Non-Prehensile Manipulation

    Oct 27, 2026Qian Ying Lee, Lin Yang, Domenico CampoloNon-Prehensile Robotic ManipulationRobotic Manipulation

  5. On Shaky Ground: Characterising Non-Rigid Base Effects in Mobile Manipulation

    Oct 27, 2026Zongyuan Zhang, Christopher Lehnert, Will N. Browne +1Mobile ManipulationContact-Rich Robotic Manipulation

  6. CARD: Contact-Anchored Retargeting for Dexterous Manipulation

    Oct 27, 2026Cunxi Dai, Botao He, Francois R Hogan +7Motion RetargetingHuman-to-Robot Motion Imitation

  7. How High Can GPT-6 Astra Climb in Contact-Rich Manipulation? PhysLadder: A Hierarchical, Matched Sim-Real Benchmark for Physical Interaction

    Oct 25, 2026Haibao Yu, Jiaqi Meng, Zijian Zhang +16Contact-Rich Robotic ManipulationRobot Manipulation Benchmarks

  8. AdaDexTrack: Dynamic Modulation for Adaptive and Generalizable Dexterous Manipulation Tracking

    Oct 24, 2026Jianibieke Adalibieke, Qianwei Han, Xueyi Liu +2Language-Conditioned Robot ManipulationRobotic Manipulation

  9. FORCA: A Force-Aware Coding Agent for Contact-Rich Robot Manipulation

    Oct 22, 2026Xiao Tan, Yixuan Wang, Zhexi Wang +1Contact-Rich Robotic ManipulationCode Generation for Robotics

  10. AstroBench: Benchmarking Free-Floating Capture and Space Robotic Manipulation

    Oct 22, 2026Zizhe Wang, Jia Deng, Xin Lu +3Space RoboticsRobot Manipulation Benchmarks

  11. Motion Retargeting with Spatiotemporal Preferences for Humanoid Loco-Manipulation

    Oct 21, 2026Xiongbo Shi, Shihang Du, Zongyou Yu +6Motion RetargetingHumanoid Robot Control

  12. Training in Deployment: Human-in-the-loop Online Post-Training for Robot Manipulation

    Oct 21, 2026Chun Gu, Xiaofei Wei, Yiming Chen +4Robot LearningHuman-in-the-Loop AI

  13. T-WLA: Bridging Slow Vision and Fast Touch

    Oct 20, 2026Kaichen Zhou, Yuzhen Chen, Hannah Yao +14Tactile-Vision-Language-Action ModelsContact-Rich Robotic Manipulation

  14. GPT-6-Astra Understands Touch and Outperform Vision--Tactile--Language--Action Models

    Oct 20, 2026Ziyong Wang, Yupei Lin, Runxuan Huang +3Tactile-Vision-Language-Action ModelsRobot Policy Learning

  15. Embodied Task Agents Can Perform Fine Manipulation through Tactile In-Context Learning

    Oct 20, 2026Yubang Wang, Zezheng Huai, Yifei Zhang +8Robotic ManipulationICL for Robotics

  16. GPT-6 Astra Is a Native Visuo-Tactile Policy for Contact-Rich Manipulation

    Oct 19, 2026Chen Yang, Linzhe Shi, Hang Zhang +3Robotic ManipulationContact-Rich Robotic Manipulation

  17. DexOAK: Object-Aware Kinematic Retargeting

    Oct 19, 2026Federica Spinola, Robert Katzschmann, Cordelia SchmidMotion RetargetingHuman-to-Robot Motion Imitation

  18. ContactBench 1.0: A Benchmark for Everyday Contact-Rich Robotic Manipulation

    Oct 17, 2026Jingyi Xiang, Yixuan Wang, Jeannette Bohg +1Contact-Rich Robotic ManipulationRobot Manipulation Benchmarks

  19. Touch Where It Matters: Learning Local Tactile Policies for Fine-Grained Gripper Control

    Oct 17, 2026Mingyuan Ba, Yanan Zhou, James Zhao +1Robotic ManipulationContact-Rich Robotic Manipulation

  20. ACTS: Learning Visuo-Tactile World Models from Human Physical Interaction

    Oct 16, 2026Yuxiang Ma, Weihan Xu, Pengfei Ye +5Tactile World ModelsContact-Rich Robotic Manipulation

  21. Evaluating Lightweight Contact Feedback in Dual-Operator Collaborative Humanoid Teleoperation

    Oct 16, 2026Austin Graves, Chuizheng Kong, Yunho Cho +4Robot TeleoperationHaptic Feedback for Robot Teleoperation

  22. Blind Precise Assembly: Proprioceptive Sim-to-Real Peg-in-Hole for Diverse Parts

    Oct 16, 2026Antonia Bronars, Younghyo Park, Kushal Kedia +1Robotic AssemblyRobotic Manipulation

  23. Ego2Contact: Predicting Touch from Egocentric Human Video for Contact-Rich Robot Manipulation

    Oct 16, 2026Qianqian Yang, Dayou Li, Bangya Liu +11Visual-to-Tactile PredictionVision-Based Tactile Sensing

  24. PlayPolicy: Dexterity from Supervised Play

    Oct 15, 2026Botao He, Yiming Dou, Yiannis Aloimonos +3Robot LearningContact-Rich Robotic Manipulation

  25. MAIA: Anticipating Interaction Anomalies in Contact-Rich Manipulation via Multimodal World Models

    Oct 15, 2026Yi Qiao, Maolin Zheng, Haoran Sun +2Anomaly DetectionContact-Rich Robotic Manipulation

  26. CQDC-Warp: GPU-Accelerated Differentiable Quasi-Dynamic Simulation for Contact-Rich Manipulation

    Oct 15, 2026Yanchen Ding, Jiayi Chen, Jianfeng Xu +3Contact-Rich Robotic ManipulationTrajectory Optimization