Papers
8
Total Citations
284
H-Index
7
About
Bo Li is a pioneering researcher at the intersection of robotics, artificial intelligence, and nanoscale engineering, with particular expertise in micro/nanorobotics, deep reinforcement learning, and intelligent swarm systems. His most significant contributions involve applying model-free deep reinforcement learning to enable autonomous navigation and localization of colloidal robots and micro/nano motors within complex, unknown environments — work that holds transformative implications for precision surgery and targeted drug delivery. His 2019 paper on AI-driven colloidal robot navigation has garnered 80 citations, while his follow-up work on micro/nano motor navigation accumulated 55 citations, collectively establishing him as a leading voice in intelligent microrobotics. Beyond individual robot intelligence, Li has advanced multi-agent frameworks, demonstrating how microrobot swarms can collaboratively capture Brownian cargo in maze-like environments. His work on magnetic Janus origami robots (70 citations) showcases remarkable versatility in cross-scale droplet manipulation, while his bio-inspired magnetic soft robotic fish explores sustainable solar-driven water purification. His research also extends into industrial manufacturing, addressing collision-free scheduling for multi-robot systems in spacecraft production. With over 280 cumulative citations, Bo Li's work bridges fundamental physics, swarm intelligence, and real-world biomedical and environmental applications in compelling and impactful ways.
Research Focus
Key Achievements
Top Papers
- 1
- 2Magnetic Janus origami robot for cross-scale droplet omni-manipulation70 citations · 2023
- 3Micro/Nano Motor Navigation and Localization via Deep Reinforcement Learning55 citations · 2020
- 4
- 5Collective oscillation in dense suspension of self-propelled chiral rods20 citations · 2019
- 6Brownian Cargo Capture in Mazes via Intelligent Colloidal Microrobot Swarms13 citations · 2021
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