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I am a first-year undergraduate student in the College of Control Science and Engineering at Zhejiang University, majoring in Automation (Class of 2029). I am broadly interested in robotics, embodied intelligence, and reinforcement learning — building machines that perceive, reason, and act in the physical world. I am currently exploring Vision-Language-Action (VLA) models and sim-to-real transfer for robot learning. Goal: Develop general-purpose robots that can perform complex tasks in unstructured real-world environments. Research Interest: The intersection of robot learning, reinforcement learning, and embodied AI. Email: lndyfwk0761 [AT] zju.edu.cn |
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University-level robotics competition. Designed and built a wheeled robot for autonomous material collection and scoring tasks. Responsible for mechanical design (SolidWorks), chassis assembly, and Arduino-based motor control. |
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Qualified for the International Design Contest (IDC) Robocon 2026 in Kyoto, Japan. The selection involved rapid prototyping, mechanism design, and robot control challenges under time constraints. |
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Built a structured Obsidian knowledge vault covering robotics, embodied intelligence (VLA/RL), machine learning, control theory, and mathematics. Contains detailed technical notes with mathematical derivations, architecture diagrams, and code examples. Designed as a progressive learning path from fundamentals to research frontiers. |
Website template from Jon Barron and Deepak Pathak.
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