| Yang Shen |
| Mon 20 Nov 2017, 15:00 - 16:00 |
| 4.31/33, IF |
If you have a question about this talk, please contact: Steph Smith (ssmith32)
Abstract: Automation in post-stroke rehabilitation has been shifting from end-effector devices to exoskeleton-like robotic systems. Due to the simulation difficulty brought by human-in-the-loop, multi-DOF (degree-of-freedom) exoskeleton design and control are spiraling iteratively. A degraded human arm from a stroke patient makes the development even more challenging. In this short talk, EXO-UL8, a dual-arm upper limb exoskeleton system developed in UCLA Bionics Lab would be introduced, including design, control and its iteractive virtual reality environment. To better understand the assist-as-needed control problem, a recent research progress on arm postural stability index (APSI) would be covered as well.
Short bio: Yang Shen is a Ph.D. Candidate at Bionics Lab, Department of Mechanical and Aerospace Engineering, University of California Los Angeles (UCLA), USA. His current research is on developing and optimizing a dual-arm robotic exoskeleton system for post-stroke rehabilitation. He has been invited to contribute one book chapter and has reviewed twenty manuscripts. He received a dual-bachelor degree (Summa Cum Laude) in Mechanical Engineering from the University of Hong Kong and Shanghai Jiao Tong University in 2013.