Bayanjargal Baasandorj
Jeonbuk National University, Jeonbuk National University Hospital
Papers
3
Total Citations
19
H-Index
2
About
Bayanjargal Baasandorj is a robotics researcher whose work focuses on autonomous mobile robot navigation, path planning, and obstacle avoidance in dynamic environments. His major contributions lie in developing intelligent control algorithms that enable robots to move safely and efficiently without human intervention. In his most-cited paper, "Autonomous Mobile Robot Navigation Using Harmonic Potential Field" (2015, 10 citations), he introduced a harmonic potential field-based navigation algorithm that elegantly avoids local minima—a common challenge in traditional potential field methods. He further advanced the field by combining fuzzy logic with model predictive control in "A Mobile Robot Obstacle Avoidance Using Fuzzy Logic and Model Predictive Control" (2014, 7 citations), creating a robust system for unknown dynamic settings. His work has practical implications for service robots, autonomous vehicles, and industrial automation. With over 19 citations across his key papers, Baasandorj’s research is recognized for bridging theoretical control methods with real-world robotic applications, making him a notable contributor to the robotics community.
Research Focus
Key Achievements
Top Papers
- 1Autonomous Mobile Robot Navigation Using Harmonic Potential Field10 citations · 2015
- 2
- 3Mobile Robot Obstacle Avoidance Techniques2 citations · 2014