About

Peisen Li is a pioneering researcher at the intersection of embodied AI, flexible electronics, and intelligent robotics. His work centers on enabling machines to perceive and interact with the physical world through multi-modal 3D perception, soft sensing, and autonomous navigation. Li’s landmark contribution, *EmbodiedScan* (2024, 54 citations), introduces a holistic multi-modal 3D perception suite that empowers embodied agents to explore environments and execute human instructions by contextualizing first-person observations into language—a critical step toward seamless human-robot collaboration. In flexible electronics, his development of a wide-range linear iontronic pressure sensor (2022, 28 citations) achieves high sensitivity across a broad pressure range using two-scale random microstructured films, enabling accurate underwater detection and simplifying back-end circuits. Earlier, Li advanced indoor localization for automatic guided vehicles (2019, 15 citations) by integrating INS/UWB with Kalman filtering to handle mixed LOS/NLOS environments, directly impacting intelligent logistics. His exploration of cooperative behavior in miniature magnetic swimmers (2023) further demonstrates his versatility in bio-inspired robotics. With a growing citation impact and work spanning perception, sensing, and navigation, Li is shaping the future of embodied intelligence and autonomous systems.

Research Focus

Key Achievements

3
H-Index
4
Papers
100
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
EmbodiedScan: A Holistic Multi-Modal 3D Perception Suite Towards Embodied AI
54 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 34
🏛 Institutions: ShangHai JiAi Genetics & IVF Institute, National University of Defense Technology, University of Jinan, China Three Gorges University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago