WASP PhD Student at WASP – Wallenberg AI, Autonomous Systems and Software Program
Örebro, Sweden
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Summary
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Senior
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Top School
Zijian Cai is a robotics-focused PhD student at WASP with eight years of experience blending computer vision, optimal control, and machine learning to tackle challenging manipulation problems, currently researching robotic handling of granular materials. He has a strong interdisciplinary background with an MS in Mechanical Engineering from Politecnico di Milano and practical exchange experience at Luleå University of Technology, reflecting both theoretical rigor and hands-on engineering. Past projects include reinforcement-learning-driven autonomous exploration and a master thesis in human-robot systems at NEARLab-MRS, showcasing applied RL and system integration skills. Zijian is active in AI research areas spanning deep reinforcement learning, game programming, and NLP, indicating a breadth beyond classical robotics. Based in Örebro, Sweden, he brings a pragmatic researcher’s mindset—bridging simulation, control, and perception—to real-world robotic challenges. An often-overlooked strength is his ability to translate mechanical-design intuition into perception and learning solutions for complex physical interactions.
8 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Örebro University
Master of Science - MS, Mechanical engineering, 106/110, Master of Science - MS, Mechanical engineering, 106/110 at Politecnico di Milano
Erasmus exchange, ENGINEERING, Erasmus exchange, ENGINEERING at Luleå University of Technology
Bachelor's degree, Mechanical Engineering, 88/100, Bachelor's degree, Mechanical Engineering, 88/100 at Wuhan University of Technology
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Zijian Cai - WASP PhD Student at WASP – Wallenberg AI, Autonomous Systems and Software Program