Yuchen Xiao is a PhD student studying robotics at Northeastern University’s Khoury College of Computer Sciences, advised by Professor Christopher Amato. Yuchen’s research is focused on multi-agent/robot hierarchical decision-making under partial observability. Besides, Yuchen also has contributions to general multi-agent reinforcement learning and online planning for robotics manipulation under uncertainty. Prior to joining the PhD program, Yuchen earned his Master of Science from Columbia University, his Master of Engineering from Dalian University of Technology in China, and his Bachelor of Science from Kunming University of Science and Technology in China.
Currently, I am pursuing a PhD degree in the Khoury College with a concentration on robotics decision making under uncertainty advised by Professor Christopher Amato.
My research interests are to apply reinforcement learning, online planning, and optimization techniques to create more efficient multi-robot systems.
I’d like to develop a more reliable and effective decision-making algorithm for the multi-robot system to enable the robots to quickly and collaboratively to search for target objects in a cluttered environment for either a human or the robot’s teammates to achieve a high-level task.
Currently, as robots are becoming more and more intelligent, they’ll start to enter our working and life environments socially, performing human tasks. Robots cooperating with each other and collaborating with humans will become the next frontier.
I would like become an expert in the robotics field and a professional in both the hardware and the software of robotics.
Shenyang, in the northeast of China.
Yuchen Xiao is a PhD student studying robotics at Northeastern University’s Khoury College of Computer Sciences, advised by Professor Christopher Amato. Yuchen’s research is focused on multi-agent/robot hierarchical decision-making under partial observability. Besides, Yuchen also has contributions to general multi-agent reinforcement learning and online planning for robotics manipulation under uncertainty. Prior to joining the PhD program, Yuchen earned his Master of Science from Columbia University, his Master of Engineering from Dalian University of Technology in China, and his Bachelor of Science from Kunming University of Science and Technology in China.
Currently, I am pursuing a PhD degree in the Khoury College with a concentration on robotics decision making under uncertainty advised by Professor Christopher Amato.
My research interests are to apply reinforcement learning, online planning, and optimization techniques to create more efficient multi-robot systems.
I’d like to develop a more reliable and effective decision-making algorithm for the multi-robot system to enable the robots to quickly and collaboratively to search for target objects in a cluttered environment for either a human or the robot’s teammates to achieve a high-level task.
Currently, as robots are becoming more and more intelligent, they’ll start to enter our working and life environments socially, performing human tasks. Robots cooperating with each other and collaborating with humans will become the next frontier.
I would like become an expert in the robotics field and a professional in both the hardware and the software of robotics.
Shenyang, in the northeast of China.
