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Kejia Chen

Ph.D. Candidate
Technical University of Munich
kejia.chen (at) tum.de


About Me

I am a Ph.D. candidate at the Chair of Robotics, Artificial Intelligence and Real-time Systems at the Technical University of Munich (TUM), advised by Prof. Alois Knoll and mentored by Prof. Zhenshan Bing. Before starting my Ph.D., I received my M.Sc. in Robotics, Cognition and Intelligence from TUM and my B.Eng. in Automation from the University of Electronic Science and Technology of China.

My research focuses on robot manipulation for contact-rich assembly, especially multi-robot manipulation of deformable linear objects such as cables. I am also interested in learning long-horizon manipulation plans from multimodal demonstrations with vision, tactile, force/torque, and language-model reasoning.

Selected Demos

Detection and correction of insertion anomalies from contact force Monitoring and regulation of tension force for blind manipulation Multi-robot collaboration for singulation, handover and mounting Cable Assembly Live Demo at Automatica 2025 Demonstrations from teleoperation Demonstrations from TacUMI

Publications

  1. ICRA
    TacUMI: A Multi-Modal Universal Manipulation Interface for Contact-Rich Tasks
    Tailai Cheng, Kejia Chen*, Lingyun Chen, Liding Zhang, Yue Zhang, Yao Ling, Mahdi Hamad, Zhenshan Bing, Fan Wu, Karan Sharma, Alois Knoll (*Corresponding author)
    IEEE International Conference on Robotics and Automation (ICRA), 2026. Accepted.
    PDF Project Page

  2. IROS
    Multi-Robot Assembly of Deformable Linear Objects Using Multi-Modal Perception
    Kejia Chen, Celina Dettmering, Florian Pachler, Zhuo Liu, Yue Zhang, Tailai Cheng, Jonas Dirr, Zhenshan Bing, Alois Knoll, Ruediger Daub
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025.
    PDF Project Page

  3. TMECH
    Just-in-Time Informed Trees: Manipulability-Aware Asymptotically Optimized Motion Planning
    Kuanqi Cai, Liding Zhang, Xinwen Su, Kejia Chen, Chaoqun Wang, Sami Haddadin, Alois Knoll, Arash Ajoudani, Luis Figueredo
    IEEE/ASME Transactions on Mechatronics, 2025.
    PDF

  4. NMI
    Preserving and Combining Knowledge in Robotic Lifelong Reinforcement Learning
    Yuan Meng, Zhenshan Bing, Xiangtong Yao, Kejia Chen, Kai Huang, Yang Gao, Fuchun Sun, Alois Knoll
    Nature Machine Intelligence, 2025.

  5. ICRA
    LEMMo-Plan: LLM-Enhanced Learning from Multi-Modal Demonstration for Planning Sequential Contact-Rich Manipulation Tasks
    Kejia Chen, Zheng Shen, Yue Zhang, Lingyun Chen, Fan Wu, Zhenshan Bing, Sami Haddadin, Alois Knoll
    IEEE International Conference on Robotics and Automation (ICRA), 2025.
    PDF Project Page

  6. ICRA
    Real-time Contact State Estimation in Shape Control of Deformable Linear Objects under Small Environmental Constraints
    Kejia Chen, Zhenshan Bing, Yansong Wu, Fan Wu, Liding Zhang, Sami Haddadin, Alois Knoll
    IEEE International Conference on Robotics and Automation (ICRA), 2024.
    PDF

  7. IROS
    Contact-aware Shaping and Maintenance of Deformable Linear Objects with Fixtures
    Kejia Chen, Zhenshan Bing, Fan Wu, Yuan Meng, Andre Kraft, Sami Haddadin, Alois Knoll
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023.
    PDF

Skills

Teaching


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