Summary
Yuxiang Gao is a Staff Research Scientist with a decade of robotics experience focused on enabling meaningful robot assistance through smooth motion, natural interaction, and continual learning. Based in Shanghai and pursuing a PhD in Computer Science at Johns Hopkins, he blends deep academic grounding with hands-on work across mobile robots, autonomous vehicles, and manipulators. He currently develops teleoperation systems and robotics world models at Fourier, building on prior research at Johns Hopkins. Known for tackling robot social navigation, human-robot interaction, and robot programming, he combines system-level thinking with practical implementation across diverse robotic platforms. Notably, his background in a gifted-youth automation program and cross-disciplinary ECE training underpins a strong foundation in both control and perception.
10 years of coding experience
1 year of employment as a software developer
Johns Hopkins University
Bachelor's degree class of gifted youth Automation, Bachelor's degree class of gifted youth Automation at Xi'an Jiaotong University
Master of Science in Engineering Electrical and Computer Engineering, Master of Science in Engineering Electrical and Computer Engineering at Johns Hopkins Whiting School of Engineering