Intelligent Robotic Manipulation Lab

Department of Automation, Tsinghua University, China

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Welcome to the Intelligent Robotic Manipulation (IRM) Lab at Tsinghua University! Our mission is to advance dexterous and intelligent robotic manipulation capabilities, which are essential for enabling robots to effectively interact with and assist humans in real-world environments. To achieve this, we focus on solutions driven by breakthrough learning techniques and real-time optimization methods. We apply these solutions to several challenging scenarios, including deformable object manipulation, in-hand manipulation, human-robot co-manipulation (including exoskeleton systems), and micromanipulation (within the framework of multi-agent systems). By addressing open issues in these areas, we aim to bridge the gap between simulation and reality and lay the foundation for the practical and stable implementation of robotic manipulation.

News

Nov 19, 2024 Our paper “Cell cryopreservation in a microfluidic chip with vision-based fluid control and region reaching” has been accepted by TASE! Congratulations! :sparkles: :smile:
Nov 15, 2024 The NSFC-RGC joint project entitled “Towards Shared–Autonomy: Collaborative Robotic Ultrasound Scanning with Safe and Anytime Intervention” has been awarded! Congratulations to Prof. Xiang Li (the PI at the mainland side) and Prof. Zheng Li (the PI at the Hong Kong side) :tada: :tada: :tada:!
Nov 05, 2024 Prof. Xiang Li was invited to join the IJRR editorial board as an Associate Editor! 🎉
Sep 03, 2024 Our paper “Learning to assist different wearers in multitasks: efficient and individualized human-in-the-loop adaptation framework for lower-limb exoskeleton” has been accepted by TRO! Congratulations! :sparkles: :smile:
Jul 29, 2024 Our paper “Generalizable whole-body global manipulation of deformable linear objects by dual-arm robot in 3-D constrained environments” has been accepted by IJRR! Congratulations! :sparkles: :smile:
Logo of Department of Automation, Tsinghua University Logo of Department of Automation, Tsinghua University