Yen-Chen Liu
Papers
2
Total Citations
20
H-Index
2
About
Yen-Chen Liu is a robotics researcher whose work focuses on multi-robot coordination, autonomous navigation, and sustainable field robotics. His research addresses critical challenges in deploying robot teams for real-world applications, particularly in agriculture and energy-constrained environments. Liu’s most cited paper (12 citations) tackles mission planning for a multi-robot team operating with a solar-powered charging station, introducing novel strategies for coordinating unmanned ground vehicles to visit objective points while managing energy constraints. This work has implications for long-duration autonomous missions in remote areas. More recently, his 2024 paper (8 citations) advances autonomous navigation for agricultural robots in orchard farming, addressing the limitations of RTK-GNSS-based systems by developing perception-driven approaches that enable reliable operation under varying environmental conditions. This contribution is particularly significant as the agricultural sector seeks to automate labor-intensive tasks like planting and spraying. Liu’s research bridges the gap between theoretical multi-robot planning and practical deployment, with his work on energy-aware coordination and field-ready navigation systems informing the next generation of sustainable, autonomous agricultural robots.
Research Focus
Key Achievements
Top Papers
- 1
- 2Toward Autonomous Navigation for Agriculture Robots in Orchard Farming8 citations · 2024