Future of Robotics

Dr. Sajad Saeedi (Research associate at Imperial College London, Department of Computing, UK)
Monday, May 2, 2016
2:30pm - 3:30pm
Mackenzie Building 4124
The rapid growth of technology has revolutionized robotics in many frontiers such as mobile robots and unmanned systems. Recent advancements in communications, electronics, and electro-mechanical systems have allowed researchers and developers to build unmanned vehicles with extraordinary manoeuvering capabilities. For instance unmanned aerial vehicles (UAVs) have led to a wealth of interest due to their potential advantages in information gathering. These vehicles are used in various applications such as aerial surveying, search and rescue, inspection, border patrol, surveillance, crowd monitoring and many more. Although UAVs have been widely used in the defence industry, very few technologies exist for civilian applications because of the lack of regulations for civilian UAVs. With the Federal Aviation Administration and Transport Canada’s deadlines to integrate UAVs in the domestic airspace, there is an urgent need for novel civilian UAV technologies.
In this brief technical talk, several recent concepts in relation to the unmanned systems are presented. Recent developments such as coordination of unmanned systems, development of autonomous quadrotor aircraft, real-time stereoscopic perception, and omnidirectional vision are introduced. These developments have significant economical and scientific impacts on our society and will open new horizons towards the real-time and reliable utilization of unmanned systems and mobile robots.  
At the end of the talk, future research directions are outlined. Some of the research directions require incremental innovation to address problems such as the application of unmanned systems for automated inspection and maintenance of industrial facilities. Some other research directions will initiate novel and groundbreaking methods to solve complicated problems such as long-term and large-scale autonomous navigation in the absence of GPS signals. These research directions will help entrepreneurs and academic researchers to identify new opportunities in the robotics and unmanned systems industries.
Sajad Saeedi is a research associate at Imperial College London, Department of Computing. He received his PhD from the University of New Brunswick, Canada. He also worked for 2GRobotics and Defence Research and Development Canada to develop perception algorithms, unmanned ground vehicles, unmanned aerial vehicles, and autonomous underwater vehicles. His research interests include simultaneous localization and mapping (SLAM), artificial intelligence, motion planning, unmanned vehicles, mechatronics, robotics, multiagent systems, linear control, non-linear control, and intelligent control.

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