Michael Yip

Michael Yip is an Associate Professor in the Department of Electrical and Computer Engineering at the University of California, San Diego. His research focuses on developing high-performance robotics that achieve dexterous and agile behaviors, with an emphasis on flexible robotics, surgical robotics, and robotic actuators and biomimetics. His work includes the design and control of snake-like robotics for medical, industrial, and military applications, as well as the development of surgical robots for treating diseases such as heart disease and prostate cancer. Yip's research also explores robotic actuators and limbs that mimic natural movement, including low-cost artificial muscles for prostheses and animatronics. His lab applies learning-based strategies to surgical robotics and automation.

Michael C. Yip is a researcher at the University of California at San Diego (UCSD) with expertise in Robotics, Machine Learning, Computer Vision, and Medical Devices. His work focuses on advancing robotic learning through large-scale datasets and models, such as Open X-Embodiment and Droid, which support robot manipulation and motion planning. Yip also explores artificial muscles, continuum manipulators, and tactile sensing for medical robotics, emphasizing applications in surgery and telesurgery. His research bridges learning-based and classical methods in motion planning and control, with a focus on real-time and scalable solutions for robotic systems in constrained environments.