Joomin Kim
Papers
2
Total Citations
7
H-Index
2
About
Joomin Kim is a robotics researcher whose work centers on autonomous mobile robot navigation, with a particular focus on overcoming the challenges of network-based control systems. His primary contributions lie in developing advanced obstacle avoidance algorithms that address the critical issue of network delay, which can compromise real-time decision-making in remote or distributed robotic systems. In his most cited work, "Development of an Efficient Obstacle Avoidance Compensation Algorithm Considering a Network Delay for a Network-Based Autonomous Mobile Robot" (2011, 4 citations), Kim proposed a novel compensation method integrating the Vector Field Histogram (VFH) algorithm with delay-compensative techniques. This approach enables robots to predict and adjust for communication lag, ensuring safer and more reliable navigation. His earlier paper, "Development of an Enhanced Obstacle Avoidance Algorithm for a Network-Based Autonomous Mobile Robot" (2010, 3 citations), further refined these methods by incorporating sensor reading compensation based on kinematic models. While Kim’s citation counts reflect a focused, early-career impact, his work is notable for addressing a practical bottleneck in networked robotics—a field critical to applications like teleoperation and multi-robot coordination. His research offers foundational insights for students and engineers tackling real-time control in delay-prone environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2