Revolutionizing robotics and embodied AI through data-driven innovation and decentralized ecosystems.

I’m Max Yin, a professor at City University of Hong Kong (CityU) and an advisory member of CyberOrigin.AI, a Singapore-based startup pushing the boundaries of general-purpose robotics and AI. With a background in SLAM (Simultaneous Localization and Mapping), computer vision, and Embodied AI technologies, I lead cutting-edge research and industry collaborations to shape the future of embodied intelligence. My work bridges academia and industry, driving innovation in robotics through high-precision data collection, multi-modal AI models, and decentralized data ecosystems.

🔬 Research Interests: Robotics, Embodied AI, Multi-Modal Data for Data Markets
🌍 Mission: Empowering intelligent systems to perceive, reason, and act in the real world
📍 Location: Hong Kong, SAR

• 🎓 Academic Background: Faculty at CityU, with prior experience at CMU and NASA/DARPA, focusing on advanced robotics and AI systems.
• 🏭 Industry Impact: Advisory member of CyberOrigin.AI, collaborating with global leaders like Google DeepMind, NVIDIA, and OpenAI to advance robotics data solutions.
• 💡 Vision: Building a decentralized, data-driven ecosystem for robotics, leveraging Embodied AI technologies like blockchain and DAOs to scale data collection and empower global communities.
• 📜 Achievements:
  • Pioneering SLAM 2.0 and digital twin technologies for next-gen robotic systems.
  • CyberOrigin's OpenCyberGlove for efficient and accurate robotic data collection.

Here are some highlighted repositories from CyberOrigin2077, showcasing my work in robotics, AI:

• SLAM-Pioneer
  A cutting-edge framework for advanced Simultaneous Localization and Mapping (SLAM) using RGB-D cameras and LiDAR. Designed for real-time robotic navigation and mapping.
  

• GhostAI-Protocol
  A decentralized protocol inspired by Ghost in the Shell, integrating perception, reasoning, and action for embodied AI.

• RoboData-Collect
  A scalable pipeline for high-precision data collection in robotics, supporting multi-modal datasets (cameras, sensors, motion capture) for training large AI models.
  

Explore more projects on my GitHub!

• CyberOrigin.AI: Guiding the development of innovative data collection pipelines for general-purpose robotics, with applications in industrial automation, healthcare, and smart cities.
• CityU Collaboration: Leading knowledge transfer initiatives, including joint research labs and internships, to bridge academia and industry.
• Publications: Authored papers on SLAM, multi-modal AI, and embodied intelligence, presented at top conferences like ICRA and IROS.

• 📧 Email: [email protected]
• 🌐 Website: CyberOrigin.AI
• 🐦 X Profile: Follow me on X
• 💼 LinkedIn: Max Yin

"Data is the new oil, fueling the engines of embodied intelligence to transform the physical world." — Max Yin