Papers

3

Total Citations

66

H-Index

3

About

Zimo Li is an innovative robotics and sensing researcher whose work spans autonomous systems, bio-inspired robotics, and advanced optical sensing technologies. His most recognized contribution, "Collaborative Air-Ground Target Searching in Complex Environments" (2017, 36 citations), demonstrated how heterogeneous robot teams—combining aerial and ground platforms—can dramatically outperform single-robot systems in search and rescue missions, establishing him as an early advocate for multi-robot collaboration in unstructured settings. Building on this foundation, his 2023 work on an aerial-aquatic hitchhiking robot inspired by remora fish (24 citations) showcased his ability to translate biological principles into functional engineering solutions, producing a platform capable of flying, swimming, and attaching to surfaces across multiple domains—a significant advancement for maritime and amphibious operations. More recently, Li has expanded into photonic sensing, contributing to all-fiber coherent LiDAR systems using optical comb injection (2024, 6 citations), enabling simultaneous high-precision ranging and velocimetry. This breadth of expertise—from multi-agent robotics to bio-inspired design to cutting-edge optical instrumentation—positions Li as a versatile and forward-thinking researcher making meaningful contributions across several high-impact technological frontiers.

Research Focus

Key Achievements

3
H-Index
3
Papers
66
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Collaborative air-ground target searching in complex environments
36 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Hong Kong University of Science and Technology, Queen's University, Tsinghua University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 28 days ago