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AutoMan Lab
Associate Professor Lyu Chen
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Research Vision
The AutoMan research group pioneers human-centric autonomous systems by integrating human cognition, embodied AI, multi-modal robotics, and human-AI hybrid intelligence, leveraging data-driven co-design optimization to advance next-generation human-like machine intelligence that better serves humans in real-world environments.
Core Research Areas
The AutoMan research group pioneers human-centric autonomous systems by integrating human cognition, embodied AI, multi-modal robotics, and human-AI hybrid intelligence, leveraging data-driven co-design optimization to advance next-generation human-like machine intelligence that better serves humans in real-world environments.
Core Research Areas
- Autonomous Systems
- Robotics
- Multi-modal Embodied AI
- Foundation Models
- Human-in-the-loop AI
- Human-Machine Systems
- Codesign Optimization
- Autonomous driving
- Autonomous F1 racing
- eVTOL
- Intelligent transportation systems
- Smart manufacturing
- Assistive robotics in healthcare