Jingpei Lu

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

Google Scholar  /  Email  /  Misc.

profile photo
Research

I have a broad interest in Computer Vision and Robotics. Most of my research is about robotic perception for automation and control, including their application on surgical robots. My work spans 2D and 3D tracking, reconstruction, and optimization.

Pose Estimation for Robot Manipulators via Keypoint Optimization and Sim-to-Real Transfer
Jingpei Lu, Florian Richter, and Michael C. Yip
IEEE Robotics and Automation Letters (RA-L), vol. 7, no. 2, pp. 4622-4629, April 2022
[arXiv] [website]

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 (T-RO), vol. 38, no. 3, pp. 1653-1670, June 2022
[arXiv]

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.