Jinhyuk Yim
Papers
1
Total Citations
114
H-Index
1
About
Jinhyuk Yim is a leading researcher in the field of unmanned robotic networks and intelligent communication protocols, with a particular focus on adaptive routing and reinforcement learning for autonomous systems. His most impactful contribution is the development of QGeo, a Q-learning-based geographic ad hoc routing protocol, which addresses the critical challenge of maintaining rapid and reliable network connectivity for remote control and monitoring of mobile robotic devices. This innovative work, published in 2017, has garnered 114 citations, reflecting its significance in enabling more efficient and resilient communication in dynamic, infrastructure-less environments. By integrating reinforcement learning with geographic routing, Yim’s protocol allows unmanned systems to autonomously optimize data transmission paths, reducing latency and improving network robustness—a key advancement for applications in search-and-rescue, surveillance, and cooperative robotics. His research bridges the gap between machine learning and network engineering, offering practical solutions for real-world deployment of unmanned vehicles. Yim’s work continues to influence the design of intelligent, self-organizing networks, making him a notable figure in the intersection of robotics and communications.
Research Focus
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Top Papers
- 1