Yikang Gui

Papers

1

Total Citations

4

H-Index

1

About

Yikang Gui is a researcher at the forefront of multi-robot systems and swarm robotics, with a primary focus on energy-aware task allocation for persistent operations. His work addresses a critical challenge in deploying robot swarms for continuous, real-world applications—such as foraging or environmental monitoring—where limited onboard energy and the need for uninterrupted performance collide. In his highly cited 2021 paper, "Energy-Aware Multi-Robot Task Allocation in Persistent Tasks," Gui introduces novel frameworks that balance task completion with energy conservation, ensuring that swarms of compact, cost-effective robots can operate autonomously over extended periods without human intervention. This contribution is foundational for advancing the practicality of swarm robotics in agriculture, disaster response, and industrial automation. With growing recognition in the field, Gui’s research bridges the gap between theoretical multi-agent coordination and tangible, energy-constrained deployments, making his work essential reading for students and engineers aiming to build resilient, long-lasting robotic teams.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Energy-Aware Multi-Robot Task Allocation in Persistent Tasks
4 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago