Papers

8

Total Citations

196

H-Index

7

About

Antoine Barbot is a leading researcher in microrobotics, specializing in the design, fabrication, and control of microswimmers for biomedical applications. His work bridges microfluidics, optical manipulation, and magnetic actuation to enable precise navigation and operation at the microscale. Barbot’s major contributions include the development of on-chip microfluidic multimodal swimmers capable of 3D navigation (77 citations), helical microrobots for force sensing inside microchannels (15 citations), and multi-flagella helical microswimmers for multiscale cargo transport and reversible targeted binding (10 citations). He has also advanced optical manipulation techniques for microrobots in biomedical contexts (33 citations) and pioneered the use of sim-to-real transfer learning for micro-object pose estimation (20 citations), addressing critical challenges in automated micro-robotic systems. Notably, his work on the rotation of microrobots to simplify 3D control inside microchannels (21 citations) and remotely actuated optothermal robotic microjoints (18 citations) highlights his innovative approach to overcoming confinement and actuation limitations. With over 200 total citations, Barbot’s research is foundational for targeted drug delivery, microassembly, and minimally invasive interventions, making him a key figure in the future of micro-robotic medicine.

Research Focus

Key Achievements

7
H-Index
8
Papers
196
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
On-chip Microfluidic Multimodal Swimmer toward 3D Navigation
77 citations · 2016
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Centre National de la Recherche Scientifique, Imperial College London, University of Cambridge

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago