Jingpei Lu

I am a Ph.D student at Advanced Robotics and Controls Lab (ARClab) at UC San Diego, advised by Prof. Michael Yip. Before that, I received my B.S./M.S degree in Electrical Engineering from UC San Diego, focusing on Machine Learning.

Google Scholar / CV / Projects

Research

I have a broad interest in Computer Vision and Robotics, especially robotic preception for automation and control. I enjoy developing algorithms for robotic applications and I would like to explore how robots could learn and perceive the world to achieve high-level automation in dynamic environments.

	Robotic Tool Tracking under Partially Visible Kinematic Chain: A Unified Approach Florian Richter, Jingpei Lu, Ryan K. Orosco, Michael C. Yip IEEE Transactions on Robotics (to appear), 2021 [arXiv]
	Pose Estimation for Robot Manipulators via Keypoint Optimization and Sim-to-Real Transfer Jingpei Lu, Florian Richter, and Michael C. Yip arXiv, 2020 [arXiv] [website]
	Real-to-Sim Registration of Deformable Soft Tissue with Position-Based Dynamics for Surgical Robot Autonomy Fei Liu, Zihan Li, Yunhai Han, Jingpei Lu, Florian Richter, Michael C. Yip IEEE Conference on Robotics and Automation (ICRA), 2021 [arXiv]
	SuPer Deep: A Surgical Perception Framework for Robotic Tissue Manipulation using Deep Learning for Feature Extraction Jingpei Lu, Ambareesh Jayakumari, Florian Richter, Yang Li, and Michael C. Yip (* Equal contributions) IEEE Conference on Robotics and Automation (ICRA), 2021 [arXiv]
	SuPer: A Surgical Perception Framework for Endoscopic Tissue Manipulation with Surgical Robotics Yang Li, Florian Richter, Jingpei Lu, Emily K. Funk, Ryan K. Orosco, Jianke Zhu, and Michael C. Yip (* Equal contributions) IEEE Robotics and Automation Letters (RA-L), vol. 5, no. 2, pp. 2294-2301, April 2020. [arXiv] [website]

Website templete from here.