Intelligent mechatronic systems (IMS) have wide range of applications such as automotive systems, medical devices, and robotics. The precise capture of motion dynamics, accurate position/orientation determination, and awareness of the surrounding environment are important aspects of IMS. This presentation will discuss the design and development of embedded real-time multi-sensors integrated positioning and mapping systems. Different case studies will be presented to discuss the realization of advanced multi-sensors estimation, signal processing, and artificial intelligence techniques on embedded vehicular and robotic platforms. The presentation will also address the future research which aims at developing advanced multi-sensors positioning and context-awareness systems on a single integrated circuit (System on a Chip “SoC”).
Mohamed M. Atia is currently NSERC postdoc fellow with the department of mechanical and mechatronics engineering at the University of Waterloo. He received his B.S. degree in computer systems and a M.Sc. degree in robotics from Ain Shams University, Egypt in 2000 and 2006 respectively. He obtained his Ph.D. in electrical and computer engineering from Queen’s University in 2013. Dr. Atia is a recipient of the Alberta Innovate Association Award in 2011. He is also the recipient of the IEEE excellence in Ph.D. research in 2013, the Mitacs Elevate Industrial Postdoc Fellowship Award in 2014, the NSERC Postdoctoral Fellowship Award in 2015, and Queen’s Teaching Award in 2016. He has more than 47 international publications in the field, one book chapter, one issued patent, three pending patents, and several years of industry experience in the area of embedded multi-sensors integrated navigation and mapping systems.