About Me

Welcome to technical blog. I am a researcher and engineer specializing in Embodied Intelligence, Computer Vision, and AGI.

My work focused on bridging the digital-physical divide, investigating how advanced machine learning architectures (such as Vision Transformers and Large Multimodal Models) can be deployed onto physical robotic systems to perform complex, general-purpose manipulation and navigation tasks.

Research Interests

• Embodied AI & Robotics: Visual-motor control policies, behavior cloning, reinforcement learning, and imitation learning.
• Computer Vision & 3D Reconstruction: High-fidelity scene representation using NeRFs and 3D Gaussian Splatting for real-time spatial navigation.
• Foundation Models & LLMs: Multimodal reasoning, scaling laws, and visual-language-action (VLA) models.
• Artificial General Intelligence (AGI): Exploring systemic safety, robust reasoning, and adaptive alignment.

Background & Experience

I hold a background in Computer Science and Robotics, with experience developing machine learning algorithms for autonomous systems, robot arms, and visual-inertial state estimation. This portal serves as a repository for deep technical articles, hands-on implementation cookbooks, and detailed algorithm explanations.

Support & Collaboration

If you are working on similar topics or want to collaborate, feel free to reach out via contact@ailinkdeeptech.com.