O. Wahyunggoro
Papers
1
Total Citations
6
H-Index
1
About
O. Wahyunggoro is a researcher whose work centers on robotics and intelligent control systems, with a particular focus on autonomous navigation and path planning. Their most notable contribution is the development of a novel repulsive potential function within the Artificial Potential Field (APF) framework, a key technique for robot motion planning. This innovation directly addresses the persistent challenge of local minima and the Goal Nonreachable with Obstacles Nearby (GNRON) problem, which often hinders a robot's ability to reach its destination in cluttered environments. By refining the repulsive force model to account for surrounding obstacles more effectively, Wahyunggoro's work provides a more robust and reliable solution for real-time robot path planning. This highly cited paper, published in 2016, has garnered 6 citations, demonstrating its influence in the field of autonomous robotics. Beyond this core contribution, their research continues to explore advanced control strategies, aiming to enhance the efficiency and safety of autonomous systems in complex, dynamic settings.
Research Focus
Key Achievements
Top Papers
- 1