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chenming0011112/README.md

πŸ‘‹ About Me

I'm Leon, a passionate researcher and developer with a strong focus on robotics, machine learning, and embodied AI. Currently affiliated with Harbin Institute of Technology (HIT), I'm deeply engaged in bridging the gap between theoretical AI and real-world robotic applications. My academic and professional journey has equipped me with a solid foundation in both technical implementation and innovative research, driving me to explore how advanced AI models can empower intelligent robots.

πŸ“š Academic & Professional Background

  • Harbin Institute of Technology (HIT)
    Pursuing advanced studies with a concentration on robotics and intelligent systems, where I deepen my understanding of mechanical design, control theory, and AI integration in robotics.
  • Research Intern @ Beijing Academy of Artificial Intelligence (BAAI) - Multimodal Large Model Research Center
    Gained hands-on experience in developing and optimizing multimodal large models (text, image, video fusion). Key responsibilities included:
    • Assisting in the training and fine-tuning of multimodal foundation models for robotic perception tasks.
    • Collaborating with the research team to design experiments that validate model performance in real-world scenarios.
    • Contributing to technical documentation and code repositories for open-source projects.

πŸ”§ Technical Interests

  • Core Fields: Robotics (motion planning, control systems), Machine Learning (deep learning, reinforcement learning), Embodied AI (robot-environment interaction, situated reasoning).
  • Special Focus: Integration of large models with robotic systems – leveraging LLM for natural language interaction, VLA (Vision-Language-Action) for robotic perception, reasoning planning and action execution, and closed-loop control for precise execution.
  • Tools & Technologies: Python (PyTorch/TensorFlow), ROS (Robot Operating System), OpenCV, Git, Docker.

🀝 Collaboration Goals

I’m actively seeking opportunities to collaborate on projects related to:

  • LLM-driven robotic interaction (e.g., natural language command execution, task planning).
  • VLA (Vision-Language-Action) for robotic perception, reasoning planning and action execution (e.g., visual grounding, scene understanding, and sequential manipulation tasks).
  • Robotic Control Systems (e.g., adaptive control, reinforcement learning-based motion planning).
  • Open-source embodied AI projects that aim to advance real-world robot autonomy.

πŸ“« Get In Touch

πŸ˜„ Pronouns

He/Him

⚑ Fun Fact

When I’m not coding or debugging robotic systems, I enjoy building DIY robots (my latest project is a small autonomous car with object-tracking capabilities) and hiking in the mountains – I believe that exploring nature inspires creative problem-solving in tech!

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