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.

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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

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

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

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.