Baxi Chong

I am a postdoctoral fellow in School of Physics, Georgia Institute of Technology supervised by Prof. Daniel I. Goldman. I obtained my Ph.D. in Quantitative BioScience with Prof. Daniel I. Goldman. I received my Master degree from Carnegie Mellon University and B.Eng. from the University of Hong Kong.

My research centers around the fascinating field of locomotion, exploring both robotic and biological systems. Locomotion plays a vital role in the functioning of diverse living organisms and engineered devices like robots. However, despite its apparent simplicity, replicating the remarkable success of biological locomotion on robotic platforms poses significant challenges.

To tackle such challenge, our approach harnesses insights from physics principles (classic mechanism, information theory, geometric phase, or statistical mechanics) to connect the bridge between animal behavior and robot controls. In doing so, we can use these physics models (verifiable via robot experiments) to explain the seemingly complicated animal locomotion. On the other hand, these principles (inspired by biology) can simplify the control of different robots