Papers

2

Total Citations

10

H-Index

2

About

Yangkai Jin is a rising researcher in the field of active matter and swarm robotics, with a focus on bio-inspired collective behavior and environmental adaptability. His work bridges the gap between theoretical physics and biological evolution, exploring how robot swarms can mimic the survival strategies of living organisms. In his highly cited 2023 paper, "Orderly hysteresis in field-driven robot swarm active matter," Jin investigates boundary effects and time-reversal symmetry, introducing a novel robot-environment-interaction system governed by resource search, consumption, and recovery. This work, along with his study on "Bio-inspired environmental adaptability of swarm active matter," demonstrates how principles of genetics, evolution, and natural selection can be encoded into artificial swarms to enable adaptive survival in complex environments. Both papers have garnered 5 citations each, reflecting their early impact in a rapidly growing field. Jin’s contributions are particularly notable for their interdisciplinary approach, merging robotics, statistical physics, and evolutionary biology. His research offers a compelling framework for designing resilient, self-organizing systems, making him a promising voice in the future of active matter and autonomous swarm intelligence.

Research Focus

Key Achievements

2
H-Index
2
Papers
10
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Orderly hysteresis in field-driven robot swarm active matter
5 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: University of Chinese Academy of Sciences, Wenzhou Medical University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago