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
Top Papers
- 1Collaborative air-ground target searching in complex environments36 citations · 2017
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