Jianhan (Jaime) Ma
马健涵

I am currently pursuing a Master of Science degree at the Electrical & Computer Engineering department of UC San Diego, under the mentorship of Prof. Xiaolong Wang. My research is focused on advanced robotic learning techniques, specifically applied to quadruped robots.

Before joining UCSD, I collaborated with Prof. Liangjing Yang at Zhejiang University, contributing to research in vision-guided surgical robotic systems. Additionally, I explored the field of computer vision applied to medical image processing, guided by Prof. Zuozhu Liu, also at Zhejiang University . I obtained my Bachelor of Engineering(B.E) dgree in Electrical Engineering and its Automation at Zhejiang University in 2021.

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Research

I am deeply intrigued by the confluence of robotic learning, computer vision, and language models. My passion lies in exploring how these distinct yet interconnected modalities can synergistically enhance the capabilities of intelligent systems.

* Denotes Equal Contribution

Our system learns a Single Instructable Motion Prior from a diverse reference motion dataset.

Selected Projects

We engineered a sophisticated Augmented Reality (AR) auxiliary system designed to accurately track and tag tumor locations in real-time. This system was adeptly integrated with the vision system of an endoscope mounted on an OpenManipulator-X robot arm. It effectively displayed the pinpointed tumor locations directly onto the endoscope’s visual feed, enhancing precision and guidance during medical procedures

We proposed an innovative self-supervised representation learning strategy to enhance the accuracy of semantic segmentation in Cone-Beam Computed Tomography (CBCT) datasets.

We developed a comprehensive robotic system integrating a UR5 robot arm with advanced sensory equipment, including radar, a vision sensor, and a proximity sensor. This system was expertly designed to detect and categorize various objects placed on a table.

Education

Teaching

Borrowed from John Barron.