Multi-Agent Robotic Systems (MARS) Lab
The Multi-Agent Robotic Systems (MARS) Lab is directed by Prof. Mo Chen in the School of Computing Science, ¶¡ÏãÔ°AV. Our research focuses on principled robotic decision making, centred around combining traditional analytical methods in robotics and modern data-driven techniques. We address theoretical and computational challenges in robotic safety, connect control-theoretic algorithms with perception and machine learning, and bridge the gap between theory and practical implementation. Through incorporating prior knowledge and understanding of robotic systems into decision making algorithms to make robots safer and smarter, we aspire to enable more widespread use of robotic systems such as autonomous cars, unmanned aerial vehicles, and medical robots.
Areas of Research
Our research is centred around principled robotic decision making algorithms that allow complex robotic systems to perform complex tasks safely. To achieve this, we work at the intersection of traditional analytical and modern data-driven methods to develop algorithms. We develop algorithms based on control theory, improve robotic learning techniques, and apply a combination of control theoretic and machine learning tools to practical problems.
- Robotic safety
- Reinforcement learning
- Human intent inference
- Visual navigation
Contact Us
Email
mochen@sfu.ca
Mailing Address:
TASC 8225 - 8888 University Drive
Burnaby, B.C. V5A 1S6