Papers

2

Total Citations

22

H-Index

2

About

Xiankun Lin is a rising researcher in the fields of swarm intelligence, multi-robot systems, and robotic locomotion, with a focus on deploying autonomous robots in complex, hazardous environments. Their most notable contribution is the development of a high-effective swarm intelligence-based method for multi-robot cooperation in target searching within unknown hazardous settings—a work that has already garnered 17 citations since its 2024 publication. This research advances the practical application of decentralized coordination, enabling robot teams to adaptively explore and locate targets without prior environmental knowledge. Lin has also made significant strides in quadruped robotics, optimizing locomotion trajectories through kinematic parameter calibration and compensation, a technique that enhances stability and precision in rough terrain. This work, with 5 citations, underscores their commitment to bridging theoretical optimization with real-world robotic performance. By integrating swarm intelligence with robust mechanical control, Lin is contributing to the next generation of autonomous systems capable of disaster response, search-and-rescue, and environmental monitoring. Their emerging portfolio reflects a dedication to solving pressing challenges in robotics, making them a promising voice in the field.

Research Focus

Key Achievements

2
H-Index
2
Papers
22
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
A high-effective swarm intelligence-based multi-robot cooperation method for target searching in unknown hazardous environments
17 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Shanghai for Science and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago