Chengguang Xu
Chengguang Xu
Chengguang Xu
Chengguang Xu
Education
- MS Control Theory and Engineering, Nankai University, China
- BEng in Automation, Nankai University, China
About Me
- Hometown: China
- Field of Study: Deep Reinforcement Learning, Robotics, and Navigation
- PhD Advisors: Chris Amato and Lawson Wong
Biography
Chengguang Xu is a PhD student at Northeastern University in the Khoury College of Computer Sciences, co-advised by Professor Chris Amato and Professor Lawson Wong. He earned his Bachelor of Engineering and Master of Science from Nankai University in China. His main fields of research are Reinforcement Learning and Computer Vision. Specifically, he is interested in learning and planning under uncertainty by leveraging model-free deep reinforcement learning algorithms and model-based planning methods.
What are the specifics of your graduate education (thus far)?
I work on designing deep learning based algorithms with a special focus on robot navigation in unseen environments.
What are your research interests?
I have broad interests in deep reinforcement learning, computer vision, and learning-based navigation algorithms.
What aspect of what you do is most interesting?
Designing navigation algorithms that can leverage the state-of-the-art deep learning advances is appealing and challenging. In particular, I am interested in developing navigation algorithms that can allow the robot to perform fast adaption in unseen environments.
What are your research or career goals, going forward?
Being a faculty or a research scientist is always my goal.
Education
- MS Control Theory and Engineering, Nankai University, China
- BEng in Automation, Nankai University, China
About Me
- Hometown: China
- Field of Study: Deep Reinforcement Learning, Robotics, and Navigation
- PhD Advisors: Chris Amato and Lawson Wong
Biography
Chengguang Xu is a PhD student at Northeastern University in the Khoury College of Computer Sciences, co-advised by Professor Chris Amato and Professor Lawson Wong. He earned his Bachelor of Engineering and Master of Science from Nankai University in China. His main fields of research are Reinforcement Learning and Computer Vision. Specifically, he is interested in learning and planning under uncertainty by leveraging model-free deep reinforcement learning algorithms and model-based planning methods.
What are the specifics of your graduate education (thus far)?
I work on designing deep learning based algorithms with a special focus on robot navigation in unseen environments.
What are your research interests?
I have broad interests in deep reinforcement learning, computer vision, and learning-based navigation algorithms.
What aspect of what you do is most interesting?
Designing navigation algorithms that can leverage the state-of-the-art deep learning advances is appealing and challenging. In particular, I am interested in developing navigation algorithms that can allow the robot to perform fast adaption in unseen environments.
What are your research or career goals, going forward?
Being a faculty or a research scientist is always my goal.
Recent Publications
Recent Publications
© 2024 Northeastern University
Khoury Social
Contact Khoury
440 Huntington Avenue, 202 West Village H
Boston, MA 02115
617.373.2462
TTY: 617.373.3768
Khoury Social
Contact Khoury
440 Huntington Avenue, 202 West Village H
Boston, MA 02115
617.373.2462
TTY: 617.373.3768
x
x
About
Programs
Experiential Learning
Research
Life at Khoury
Information for...
x
About
Programs
Experiential Learning
Research
Life at Khoury
Information for...
© 2024 Northeastern University
Khoury Social
Contact Khoury
440 Huntington Avenue, 202 West Village H
Boston, MA 02115
617.373.2462
TTY: 617.373.3768
Khoury Social
Contact Khoury
440 Huntington Avenue, 202 West Village H
Boston, MA 02115
617.373.2462
TTY: 617.373.3768
x
x
About
Programs
Experiential Learning
Research
Life at Khoury
Information for...
x
About
Programs
Experiential Learning
Research
Life at Khoury
Information for...