Yueh-hua Wu

Team Lead at AIRoA (AI Robot Association)

Japan
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Summary

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Senior
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Top School
Yueh-hua Wu is a Team Lead at AIRoA in Tokyo with a decade of experience bridging cutting-edge research and real-world robotics. He holds a Ph.D. in Computer Science from UC San Diego and has been a Research Scientist at NVIDIA Research and a Student Researcher at Google DeepMind, focusing on reinforcement learning, embodied intelligence, and robust object manipulation. His work emphasizes learning from rich 3D structure and leveraging foundation models to accelerate deployment in real-world robotic systems. Yueh-hua has a strong internship and collaboration history across Sony, RIKEN, OMRON SINIC X, and Academia Sinica, where he developed novel multi-agent and offline RL techniques that improved cooperative manipulation. Fluent in both academic rigor and product-driven research, he blends theoretical innovation with practical system-building across industry and lab settings. Based in Japan with roots in Taiwan, he often connects cross-cultural research teams to move embodied AI from simulation into physical environments.
code11 years of coding experience
job7 years of employment as a software developer
bookUniversity of California, San Diego
bookMaster's degree, Computer Science and Information Engineering, Master's degree, Computer Science and Information Engineering at National Taiwan University
bookNational Tainan First Senior High School
languagesEnglish, Chinese, Mandarin, Japanese
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Github Skills (6)

imitation-learning10
python5
pytorch5
generative-adversarial-network2
reinforcement-learning1
deep-reinforcement-learning1

Programming languages (2)

CPython

Github contributions (5)

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A curated list of awesome imitation learning resources and publications
Contributions:1 review, 59 commits, 3 PRs in 3 years 6 months
imitation-learning
kristery/dex-affordance

Oct 2022 - Mar 2023

[CoRL 2022] Implementation of "Learning Generalizable Dexterous Manipulation from Human Grasp Affordance"
Contributions:5 commits, 4 pushes, 3 comments in 4 months
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