Towards Truly Intelligent Autonomous Robotic Systems: Challenges and Future Directions
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Towards Truly Intelligent Autonomous Robotic Systems: Challenges and Future Directions
Fri, 03/02/2017 - 14:00 to 15:00
Location:
Speaker:
Dr Sen Wang
Synopsis:
Autonomous robotic systems are becoming increasingly intelligent and pervasive. In particular, Deep Learning has opened the door to the construction of sophisticated intelligent autonomous robots operating in, and adapting to, complex and changing environments. In this talk, I will present my research from autonomous robot navigation and Simultaneous Localization and Mapping (SLAM) to robotic vision and Deep Learning based end-to-end, sequence-to-sequence visual odometry and self-driving systems. I will also discuss key challenges and future directions of intelligent autonomous robotic systems, and propose some potential collaboration at the Heriot-Watt University.
Biography:
Sen Wang is a post-doctoral researcher in the Department of Computer Science at the University of Oxford, working on EPSRC Programme Grant project "Mobile Robotics: Enabling a Pervasive Technology of the Future". He received his Ph.D degree from the Robotics Group at the University of Essex in 2015. His research focuses on robotics and autonomous systems using probabilistic approach and machine learning, including localisation, autonomous navigation, SLAM, robotic vision and Deep Learning, with an emphasis on real-time implementations whenever possible.