Weiye Zhao is a robotics founder and recent Carnegie Mellon Ph.D. who blends deep expertise in industrial robotics, reinforcement learning, control theory, and motion planning with nine years of research experience across top labs. His work in CMU’s Intelligent Control Lab and internship at Google DeepMind reflect a focus on pushing control and learning methods toward real-world robotic systems. He has a track record of cross-institutional collaboration (Berkeley, UIUC) and moves between theory and application, now translating academic advances into a stealth startup. Based in the Greater Pittsburgh region, he combines rigorous academic training from Shanghai Jiao Tong and CMU with hands-on system-building that emphasizes deployable control and planning. An understated strength is his ability to bridge principled control theory with modern RL techniques to solve industrial-scale motion challenges.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Robotics, Doctor of Philosophy - PhD Robotics at Carnegie Mellon University
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Shanghai Jiao Tong University
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