Jingpei Lu

I am a research assistant at Advanced Robotics and Controls Lab (ARClab), where I have involved with research on robotic perception and manipulation under the direction of Prof. Michael Yip.

I received my B.S./M.S degree in Electrical Engineering from UC San Diego. During undergraduate, I worked on developing an image retrieval system for marine biological images using deep learning at Statistical Visual Computing Laboratory (SVCL).

Email / 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.

	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 arXiv, 2020 [arXiv]
	Robust Keypoint Detection and Pose Estimation of Robot Manipulators with Self-Occlusions via Sim-to-Real Transfer Jingpei Lu, Florian Richter, and Michael C. Yip arXiv, 2020 [arXiv] [website]
	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) arXiv, 2020 [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, vol. 5, no. 2, pp. 2294-2301, April 2020. presentated at ICRA 2020 [arXiv] [website]

Website templete from here.