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Collaboration Based Robotics and Automation

November 8, 2011
5:30 pmto7:00 pm

The IEEE Canadian Atlantic Section Robotics and Automation Society Chapter and Instrumentation and Measurement Society Chapter invite you to the following seminar event which is open to public and the details are as follows:

Title: Collaboration Based Robotics and Automation
Speaker: Dr. Howard Li
Department of Electrical and Computer Engineering
University of New Brunswick
Time: 5:30pm-7:00pm, Tuesday, November 8, 2011
Place: Room C355, Sexton Campus, Dalhousie University, 1360 Barrington Street, Halifax, Nova Scotia, Canada
Refreshments: A light dinner will be provided to the attendees
Local Contacts: Mr. Scott Melvin at Scott <dot> Melvin <at> ieee <dot> org or
Dr. Mae Seto at mae <dot> seto <at> dal <dot> ca

Abstract:

The Collaboration Based Robotics And Automation (COBRA) research group is with the Department of Electrical and Computer Engineering, University of New Brunswick. COBRA works on unmanned aerial vehicles (UAVs), unmanned ground vehicles (UGVs), autonomous underwater vehicles (AUVs), motion planning, simultaneous localization and mapping (SLAM), linear and non-linear control systems, multi-agent systems (MAS), artificial intelligence, etc. There is an increasing demand in surveillance and map building using UAVs, UGVs, and AUVs. Future unmanned systems need to work in teams with other unmanned vehicles to share information and coordinate activities. The private sector and government agencies have found applications of UAVs, UGVs, and AUVs for homeland security, reconnaissance, surveillance, data collection, and urban planning, etc. For this talk, COBRA will present their research results in the control of multiple UAVs, UGVs, and AUVs. Not only do they make dangerous tasks safer for humans, unmanned systems – aerial, ground and underwater – are also better for the environment and cost less to operate.

About the Speaker:

Howard Li (PEng, PhD, IEEE Senior Member) is an associate professor in the Department of Electrical and Computer Engineering, University of New Brunswick, Fredericton, New Brunswick, Canada. He is a registered professional engineer in the Province of Ontario. Before he joined UNB, he was employed by Atlantis Systems International in the development of training systems for the F/A-18 Hornet fighter aircraft for the Boeing company, Canadian Forces, Royal Australian Air Force, and training systems for Royal Danish Air Force. He developed control software and hardware for unmanned ground vehicles, unmanned aerial vehicles, autonomous underwater vehicles, and mobile robots for Defence Research and Development Canada and Applied AI Systems Inc. for both domestic and military applications.

He obtained his Ph.D. from the University of Waterloo, Waterloo, Ontario, Canada. He received his M.Sc. in Engineering System & Computing from the University of Guelph, Guelph, Ontario, Canada, and B.Eng. in Electrical Engineering from Zhejiang University, China, respectively. He has been doing his research in the Department of Electrical and Computer Engineering, University of New Brunswick, Canada, the Department of Systems Design Engineering and the Department of Electrical and Computer Engineering, University of Waterloo, Canada, and the School of Engineering, University of Guelph, Canada.

His research interests are in intelligent vehicles, unmanned aerial vehicles, unmanned ground vehicles, autonomous underwater vehicles, motion planning, Simultaneous Localization And Mapping (SLAM), mechatronics, control systems, robotics, multi-agent systems, and artificial intelligence.

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