Junxiao Feng

ETH Zurich

Papers

1

Total Citations

13

H-Index

1

About

Dr. Junxiao Feng is a pioneering researcher in the field of micro- and nanorobotics, with a particular focus on the motion control and trajectory prediction of chemically driven micromotors. Their most notable contribution, detailed in the 2022 study "Motion Analysis and Real‐Time Trajectory Prediction of Magnetically Steerable Catalytic Janus Micromotors," addresses a critical bottleneck in the practical deployment of these tiny robots: the unpredictable trajectories caused by rotational Brownian motion. By integrating magnetic steerability with catalytic propulsion, Dr. Feng developed a framework for real-time motion analysis and prediction, enabling precise control over micromotor paths—a breakthrough for applications requiring high accuracy, such as targeted drug delivery and microsurgery. This work has garnered 13 citations, reflecting its growing influence in the field. Dr. Feng’s research not only advances fundamental understanding of microswimmer dynamics but also paves the way for more reliable and controllable autonomous microsystems, marking them as a rising leader in the intersection of robotics, materials science, and fluid dynamics.

Research Focus

Key Achievements

1
H-Index
1
Papers
13
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Motion Analysis and Real‐Time Trajectory Prediction of Magnetically Steerable Catalytic Janus Micromotors
13 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: ETH Zurich

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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