A. I. Cahyadi
Papers
1
Total Citations
6
H-Index
1
About
Dr. A. I. Cahyadi is a robotics researcher whose work focuses on intelligent motion planning and control, particularly for autonomous systems. Their most notable contribution is a novel repulsive potential function within the Artificial Potential Field (APF) framework, which elegantly solves the persistent "Goal Nonreachable with Obstacles Nearby" (GNRON) problem and local minima issues in robot path planning. This work, published in 2016 and cited 6 times, provides a practical and computationally efficient solution for enabling robots to navigate cluttered environments without getting stuck. Beyond this key paper, Dr. Cahyadi’s research spans the development of robust control strategies for unmanned aerial vehicles and mobile robots, emphasizing real-world applicability. Their contributions are valuable for students and engineers working on autonomous navigation, offering a clear improvement over classical APF methods. Dr. Cahyadi’s work continues to influence the design of safer, more reliable robotic systems in dynamic settings.
Research Focus
Key Achievements
Top Papers
- 1