IEEE Young Professionals, Windsor Section presents:

“Towards Skill Transfer via Learning-Based Guidance: Adaptive Haptic Guidance
for Virtual Reality based Training”

Abstract: This talk presents an overview in the recent work on gesture-based haptic guidance for physical humanrobot interaction (pHRI) that can be used in virtual minimally invasive surgery (MIS) training. An approach in which the knowledge and experience of experts have been modeled and used to improve the unpredictable motions of novice trainees. Two statistical models, hidden Markov model (HMM) and hidden Conditional Random Fields (HCRF), have been used to train gesture models for a virtual MIS related task.

Speaker: Dr. Mehrdad H. Zadeh, Associate Professor Kettering University

Speaker Bio: Dr. Zadeh is an associate professor and an advisor of Auto Drive Challenge™ competition at Kettering University, MI. From Sept. 2015 to January 2017, he served as a visiting associate professor at Johns Hopkins University, Laboratory for Computational Sensing + Robotics (LCSR), MD, where he collaborates on the design and development of haptic-enabled surgical simulation.

Date: December 07, 2017

Time: 1-3 PM EDT/EST

Location: Room 2103, CEI, University of Windsor

Please Register Here inorder to attend the event.

Please contact Mojtaba Kordestani, Chair IEEE YP Windsor Section for more details.