CV

Curriculum Vitae - Graduate student at ShanghaiTech University focusing on Mobile Robotics and Embodied AI.

General Information

Full Name Jiajie Zhang (张嘉杰)
Email zhangjj2023@shanghaitech.edu.cn
Location Shanghai, China
Research Interests Mobile Robotics, Embodied AI, Vision-Language-Action Model
Languages Chinese (Native), English (Fluent)

Education

  • 2023 - Present
    M.S. in Computer Science and Technology
    ShanghaiTech University, Shanghai, China
    • Member of MARS Lab (Mobile Autonomous Robotics Systems), supervised by Professor Sören Schwertfeger
    • Key research areas include robot navigation, SLAM, and intelligent robotics systems
  • 2019 - 2023
    B.S. in Automation
    Zhengzhou University, Zhengzhou, China
    • Graduated with strong foundation in control systems and robotics
    • Supervised By Lei Yang on Bachelor Thesis of "Enhance ORB-SLAM2 with Dense Mapping"

Work Experience

  • 2023 July - Oct.
    Research Assistant
    AI R&D Center, Central Research Institute, Wolong Electric
    • Supervised by Alexander Kleiner
    • Pioneered a Latent Action Pretraining framework to learn discrete motion representations (i.e., latent actions) from large-scale, unlabeled videos in a fully unsupervised manner , leveraging a VQ-VAE-based objective.

Technical Skills

  • Programming Languages & Tools
    • C++ / Python
    • ROS1 & ROS2
    • PyTorch
    • Cursor & Codex & Claude Code
  • Robotics Expertise
    • Navigation & Path Planning
    • Perception & Localization
    • Motion Planning & Control

Publications

  • 2025
    • Zhang, J., Wu, S., Ma, X., & Schwertfeger, S. (2025). Generation of Indoor Open Street Maps for Robot Navigation from CAD Files. arXiv preprint arXiv:2507.00552.
  • 2024
    • Xie, F., Zhang, J., & Schwertfeger, S. (2024). Intelligent LiDAR Navigation: Leveraging External Information and Semantic Maps with LLM as Copilot. arXiv preprint arXiv:2409.08493. (Accepted to IROS 2025)
    • Cui, J., Zhang, J., Kneip, L., & Schwertfeger, S. (2024). Neural Surfel Reconstruction: Addressing Loop Closure Challenges in Large-Scale 3D Neural Scene Mapping. Sensors, 24(21), 6919.

Research Interests

  • Mobile Robotics
    • Autonomous navigation and path planning
    • Multi-robot coordination and collaboration
    • Robust localization in dynamic environments
  • Embodied AI
    • Integration of large language models with robotics
    • Semantic understanding for robot navigation
    • Human-robot interaction and communication

Academic Links