AASS Seminar - Real-time planning and control: Smarter machine or simpler world

The research centre AASS arranges a seminar with Shiyu Zhang, AASS, Örebro University.

Abstract

Robots are increasingly commonplace in human life, especially compensating the lack of physical capabilities of human beings. To perform more safe and efficient operation, robots are required to achieve higher autonomy, perceiving the world and accordingly making appropriate reactions promptly. As practical situations are very complicated, performing the complex calculation and updating the motion in real-time is a particular challenge. In general, there are two ways to overcome the high computational complexity and get feasible solutions in time: improving the intelligence of robots and simplifying the model of the world. Methods in these two branches will be introduced. And two cases will be discussed: safe and natural interaction with humans and efficient cooperation with other robots in the shared environment.

Bio

Shiyu Zhang received her Bachelor degree in Automation from Hefei University of Technology in 2014 and Ph.D. in Navigation, Guidance and Control from Beihang University in 2019. From August 2019, she is a postdoctoral researcher in Centre for Applied Autonomous Sensor Systems (AASS), Örebro University. Her research interests focus on real-time planning and control for robots in uncertain environments, especially developing modeling methods and efficient algorithms to deal with complex real-world situations. The interested technologies include modeling and efficient computation methods for complex optimization problems, safe and reliable learning for control, etc. She is particularly interested in employing the autonomous robotics technologies in applications of exploration in human-unfriendly environments, such as space and underground area.