钱韦潼 💻
钱韦潼 Qián Wéitóng

Undergraduate Student

PKU

About Me

I am an undergraduate student at Peking University’s College of Engineering, majoring in Theoretical and Applied Mechanics, hailing from Zhenjiang, Jiangsu Province. My true passion lies in the field of Computer Science and Artificial Intelligence—especially Automated Machine Learning, Reinforcement Learning, Embodied Intelligence and Computer Vision.

Since February 2025, I have interned as an Algorithm Intern at Galbot (北京银河通用机器人公司), where I conducted research on vision-based, reinforcement learning–driven non-prehensile grasping and designed and trained RL controllers for both quadruped and biped robots to achieve stable, adaptive locomotion over varied terrain.

My academic journey is complemented by rigorous coursework, including Computer Vision, Embodied Intelligence, Machine Learning, Deep Learning, Reinforcement Learning, Software Engineering, Convex Optimization and Robotics. I am proficient in Python, JavaScript and MATLAB for implementing and testing algorithms.

I’m always eager to collaborate on projects that bridge engineering fundamentals with cutting-edge AI research. Feel free to explore my blog and get in touch if you’d like to discuss potential opportunities!

Interests
  • AutoML
  • Reinforcement Learning
  • Embodied AI
Education
  • BEng in Theoretical and Applied Mechanics

    Peking University

📚 My Research

I’m passionate about exploring the frontiers of computer science and artificial intelligence. My research delves into cutting-edge areas such as AutoML, embodied AI, and other transformative technologies,always with an eye toward their potential for groundbreaking impact.

I also share my insights and discoveries on my blog, where I discuss topics spanning machine learning, deep learning, reinforcement learning.

Please reach out to collaborate 😃

Blogs

GP

Gaussian Process

TL for BO

Transfer Learning for Bayesian Optimization