Summary
Zhuoheng Li is a PhD candidate and robotics AI engineer with eight years of hands-on experience building AI-driven systems for space and robotic exploration from Beijing. He has developed high-throughput observation schedulers for Chinese space telescopes, onboard flight software for small satellites, and state-of-the-art multi-task manipulation policies (GR-Chunk) that lead current benchmarks on CALVIN. At Exponential Deep Space he optimized large-scale training pipelines, trained multimodal LLMs and released robotics tools like MimicTest and Florence Policy, demonstrating a rare combination of space systems engineering and modern ML practice. His background spans cloud-enabled simulation for thrusters, mission analysis and on-board avionics, enabling him to bridge academic research and deployable robotics software. Colleagues describe him as mission-focused and inventive—seeking game-changing innovations at the intersection of AI, robotics and space.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Bachelor of Aerospace Engineering (Astronautics), 87/100, Bachelor's degree, Bachelor of Aerospace Engineering (Astronautics), 87/100 at Beihang University
TU Delft
Master of Science in Aerospace Engineering, Space Engineering, Master of Science in Aerospace Engineering, Space Engineering at Delft University of Technology
English, Chinese