Michael Yip, Ph.D.


Assistant Professor, Electrical and Computer Engineering, UCSD
Faculty, UCSD Contextual Robotics Institute
Affiliate Faculty, UCSD Artificial Intelligence Group
Affiliate Faculty, UCSD Mechanical and Aerospace Engineering

yip at ucsd.edu | Office: 6121 Atkinson Hall | Ph: 858 822 4778 |  Google Scholar

Welcome! I direct the Advanced Robotics and Controls Laboratory (ARCLab). We have two focuses: first is machine learning for robot control, motion planning and task automation, and the second is design and control of new robotic devices and algorithms to assist in surgery.

For research and publication, please visit the lab webpage here.

Education

Ph.D., Stanford University (Bioengineering)
M.Sc., University of British Columbia (Electrical Engineering)
B.Sc.,  University of Waterloo (Mechatronics Engineering)

Other Positions

Imagineer (Research Associate), Disney Research,  2014
Research Assistant, Harvard University, 2008
Research Assistant, Massachusetts Institute of Technology, 2007
Research Assistant, Massachusetts General Hospital,  2006

Select Awards

Outstanding Researcher Award, NIH Center for Simulation in Rehab. Research  2017
Hellman Fellow, 2017
Inaugural Best Paper Award (of 450 papers), IEEE Robotics and Automation Letters, 2017
Best Paper Finalist, Int. Conf. on Robotics and Automation (ICRA)    2015
Best Paper Award for Advances in Flexible Robotics for Medical Interventions, Int.
Conf. on Robotics and Automation (ICRA)   2014

Current Service

Robotics, Science, and Systems (RSS), Primary Area Chair
IEEE Haptics Symposium, Sponsorship Chair  
Associate Editor, IEEE Robotics and Automation Letters (RA-L)
Associate Editor, IEEE International Conference on Robotics and Automation (ICRA)
NSF Panel Reviewer – National Robotics Initiative 2.0
Contributing Author, US Congressional Robotics Roadmap 2016



Areas of Research

  • Machine Learning for robot control, motion planning, task automation
  • Deep Learning and Reinforcement Learning
  • Continuum and Snake-like Robotics
  • Artificial muscles for robotics
  • Image processing and augmented reality

Target Applications

  • Design of robotic, minimally-invasive surgical devices.
  • Robot assistance during collaborative surgery.
  • Medical and endoscopic image analysis for image-guided surgery.
  • Augmented Reality Interfaces for surgery
  • Biomimetic actuators for new classes of compliant robots and for interfacing with the human body.

Technical Interests

  • Reinforcement Learning
  • Robot Motion Planning
  • Robot Manipulation
  • Model-Free Control
  • Image Reconstruction and Registration
  • Augmented Reality Interfaces
  • Robot Design