Mobile Actuator and Sensor Networks: from CPS to CHS

Mobile Actuator and Sensor Networks: from CPS to CHS

Speaker Name: 
YangQuan Chen
Speaker Title: 
Professor
Speaker Organization: 
MESA Lab of University of California, Merced
Start Time: 
Thursday, March 14, 2019 - 1:30pm
End Time: 
Thursday, March 14, 2019 - 3:00pm
Location: 
E2 599
Organizer: 
Ricardo Sanfelice

 

Abstract:

Robotics will continue to be a hot topic in many years to come in this “big data, cloud computing, machine learning, virtual reality age”. This talk starts by first introducing a new angle for emerging multi-robot control research opportunities - treating robots as a network of moving actuators and/or moving sensors (MAS-net) that can communicate with each other, forming a bigger closed-loop controlled physical system or process, known as CPS (cyber-physical systems). Then I will further discuss the next step towards CHS: cyber-human systems, that extends our horizon of research attacks. I will share my belief that “Cyber-Human Systems” (CHS) will be a hot topic in the next 10-20 years as human (individual, team, society/community), computer (fixed, mobile and surrounds), and environment (physical, mixed and virtual) fuse.

Bio:

YangQuan Chen earned his Ph.D. from Nanyang Technological University, Singapore, in 1998. He had been a faculty of Electrical Engineering at Utah State University from 2000-12. He joined the School of Engineering, University of California, Merced in summer 2012 teaching “Mechatronics”, “Engineering Service Learning” and “Unmanned Aerial Systems” for undergraduates; “Fractional Order Mechanics”, “Nonlinear Controls” and “Advanced Controls: Optimality and Robustness” for graduates. His research interests include mechatronics for sustainability, cognitive process control, small multi-UAV based cooperative multi-spectral “personal remote sensing”, applied fractional calculus in controls, modeling and complex signal processing; distributed measurement and control of distributed parameter systems with mobile actuator and sensor networks.

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