Wei Zhang

🚀🎯🔥😀Hi, my name is Wei Zhang (Zean)😀🔥🎯🚀, a senior undergraduate student at Shandong University, currently a RA of the Active & Intelligent Robotics Group (AIRG) under the supervision of Prof. Chaoqun Wang.

I am passionate about Robotics, Autonomous Navigation, and Embodied Intelligence. Through active participation in various research projects, I have gained valuable hands-on experience and enhanced my programming skills. By combining theoretical knowledge with practical applications, I continuously strive to improve my expertise.

Beyond academic research, I enjoy exploring new technologies, collaborating with teams, and sharing my learning experiences. I am committed to embracing challenges and pushing my limits to contribute to technological innovation.

If you are interested in related fields, feel free to connect with me!

Research Interests (Maybe in the future)

My current research interests focus on exploring advanced deep learning and AI techniques to enhance traditional navigation frameworks and develop embodied intelligence for robots. Specifically, my research interests include:

  • Learning Method for Navigation Frameworks:
    I aim to incorporate Transformer models and diffusion models into traditional navigation frameworks to expand their capabilities. My focus is on improving their performance in offline deployment scenarios on computationally constrained platforms, enhancing localization and overall efficiency.

  • Embodied Intelligence with Embodied Models:
    I am exploring ways to train Embodied models (VLM/VLA models) that exhibit embodied intelligence. My goal is to align these models with human intentions and preferences, ultimately driving progress toward Physically Embodied AGI. I envision robots capable of handling labor-intensive tasks, helping to reduce human workload in demanding environments.

To achieve these goals, I am committed to continuously expanding my knowledge, engaging in interdisciplinary collaboration, and actively participating in academic exchanges within the field.