Shih-Yun Lo
Ph.D. Student
I feel excited about my work in robotics, and look forward to the future that robotic systems being widely introduced into human assistive technology. I aspire to fulfill the ambition to make robotics much more accessible to the human world. My current research focuses on the areas of system identification, control, estimation, and trajectory planning, and I am particularly interested in the challenges in control and planning of highly dynamic systems, learning-based optimization problems in robotics, and the design of self-reliant robotic systems. Still, more challenges are more than welcome!
The PETLON Algorithm to Plan Efficiently for Task-Level-Optimal Navigation 2020
Shih-Yun Lo, Shiqi Zhang, and Peter Stone, The Journal of Artificial Intelligence Research (JAIR), Vol. 67 (2020).
PETLON - Planning Efficiently for Task-Level Optimal Navigation 2018
Shih-Yun Lo, Shiqi Zhang, and Peter Stone, In Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Stockholm, Sweden, July 2018.
Iterative Human-Aware Mobile Robot Navigation 2017
Shih-Yun Lo, Benito Fernandez, and Peter Stone, In Proceedings of the Human-Centered Robotics workshop of the 13th International Conference on Robotics: Science and System (RSS), Cambridge, MA, USA, July 2017.
Currently affiliated with Learning Agents