Frimpong Kyeremeh
Papers
4
Total Citations
221
H-Index
4
About
Frimpong Kyeremeh is a leading researcher in autonomous mobile robotics, specializing in path planning for complex and dynamic environments. His work bridges nature-inspired algorithms, computational geometry, and hybrid optimization techniques to solve the critical challenge of safe, smooth, and optimal robot navigation. Kyeremeh’s major contributions include the development of the VD-CGT method, which uses Voronoi diagrams and computational geometry to dynamically categorize and avoid moving obstacles, and the MVDRM algorithm, which employs morphological dilation to reduce computational complexity while ensuring collision-free paths. His most cited work, “An Overview of Nature-Inspired, Conventional, and Hybrid Methods of Autonomous Vehicle Path Planning” (95 citations), provides a comprehensive taxonomy of path planning approaches, serving as a foundational resource for researchers. Additionally, his ORRT-A* method (24 citations) optimizes the RRT-A* algorithm for partially known environments, achieving low time complexity and high path quality. With over 220 cumulative citations, Kyeremeh’s research has significantly advanced the field of autonomous ground vehicles, offering practical solutions for real-world navigation challenges.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4