IEEE ComSoc NY Chapter: Bayesian Learning and Bio-Inspired Autonomous Search in Aquatic Environment
The IEEE ComSoc New York Chapter is organizing a series of technical seminars for the New York area IEEE members and the general public. We invite researchers and professionals to share their latest work on a variety of topics in communications and related areas. This time, we have the great pleasure to invite Prof. Fumin Zhang from Georgia Institute of Technology to give a talk on “Bayesian Learning and Bio-Inspired Autonomous Search in Aquatic Environment”.
Date and Time
Location
Hosts
Registration
- Date: 08 Nov 2022
- Time: 05:00 PM to 06:15 PM
- All times are (UTC-05:00) Eastern Time (US & Canada)
-
Add Event to Calendar
- 160 Convent Ave, New York, NY 10031
- The City College of New York
- New York, New York
- United States 10031
- Building: North Academic Center (NAC)
- Room Number: 1/201
- Click here for Map
- Starts 02 November 2022 12:32 AM
- Ends 08 November 2022 05:00 PM
- All times are (UTC-05:00) Eastern Time (US & Canada)
- No Admission Charge
Speakers
Fumin Zhang of Georgia Institute of Technology
Bayesian Learning and Bio-Inspired Autonomous Search in Aquatic Environment
Search and rescue in aquatic environments can be very challenging and costly. The employment of robotic platforms and autonomy might significantly increase the efficiency and reduce the risk to humans in search and rescue missions. Motivated by insights from the autonomous collective foraging behaviors performed by animals in aquatic environments, this talk introduces models and provable strategies from control theory and robotics towards bio-inspired autonomous search operations. The bio-inspired methods generalizes to a Bayesian learning framework where insights from biology are well justified by systems theory such as reachability, consistency and optimality. Experimental effort with promising results demonstrates that bio-inspired autonomy might be preferred in aquatic environment that features severe limitation in communication, localization, and power consumption.
Biography:
Dr. Fumin ZHANG is Dean’s Professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. He received a PhD degree in 2004 from the University of Maryland (College Park) in Electrical Engineering, and held a postdoctoral position in Princeton University from 2004 to 2007. His research interests include mobile sensor networks, maritime robotics, control systems, and theoretical foundations for cyber-physical systems. He received the NSF CAREER Award in September 2009 and the ONR Young Investigator Program Award in April 2010. He is currently serving as the co-chair for the IEEE RAS Technical Committee on Marine Robotics, associate editors for IEEE Journal of Oceanic Engineering, Robotics and Automation Letters, and IEEE Transactions on Automatic Control.
Email:
Address:85 Fifth Street NW, Technology Square Research Bldg., Room 406, Atlanta, Georgia, United States, 30332-0250