Embodied Intelligence Algorithm Researcher at Zeroth
Suzhou City, Jiangsu, China
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Summary
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Geeshang Xu is an Embodied Intelligence Algorithm Researcher with 11 years of experience specializing in embodied AI and robotics, currently focused on humanoid AI research. He has led deployment of imitation learning, reinforcement learning and visual-language-action models in industrial settings, built distributed training frameworks, and contributed to demos that supported a $10M Series A funding round. At JD.com he architected large-scale Transformer-based pretraining and fine-tuning pipelines for multimodal data, gaining extensive TB-scale distributed GPU training and production risk-detection experience. Combining a master’s in computer technology with a mechatronics bachelor’s, he bridges perception, control and systems engineering to move research into real-world robotic applications. Notably, his practical expertise includes ACT/DP/HiL-SERL algorithm implementations and end-to-end model delivery across online and offline inference.
11 years of coding experience
5 years of employment as a software developer
Master's Degree, Computer Technology, Master's Degree, Computer Technology at Beijing University of Posts and Telecommunications
Bachelor's degree, Mechatronic Engineering, Bachelor's degree, Mechatronic Engineering at Shandong University of Technology
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Geeshang Xu - Embodied Intelligence Algorithm Researcher at Zeroth