Papers
20
Total Citations
405
H-Index
11
About
W. Wilfred Godfrey is a leading researcher in multi-robot systems, path planning, and bio-inspired optimization, with a particular focus on enabling autonomous coordination in complex, unknown environments. His most impactful work, the 2019 paper "Three dimensional path planning using Grey wolf optimizer for UAVs," has garnered 173 citations, establishing a foundational method for aerial robot navigation. Godfrey has made significant contributions to multi-robot path planning (MRPP), notably developing the Priority-based Optimized-Hybrid Asynchronous Centralized and Decentralized (POHACD) algorithm, which allows multiple robots to communicate and navigate obstacles collaboratively. He has also advanced odor source localization by concatenating Particle Swarm Optimization and Grey Wolf Optimizer, and explored frontier-based exploration techniques for single and multi-robot systems. Beyond physical robotics, Godfrey has pioneered computational models of emotion, creating multi-agent emotion engines that influence robot decision-making and behavior. His stigmergy-based synchronization work, inspired by social insects, demonstrates his ability to translate biological principles into robust robotic coordination. With over 350 citations across his top papers, Godfrey’s research continues to shape autonomous systems, offering practical solutions for warehouse logistics, search-and-rescue, and military operations.
Research Focus
Key Achievements
Top Papers
- 1Three dimensional path planning using Grey wolf optimizer for UAVs173 citations · 2019
- 2
- 3Survey on prioritized multi robot path planning25 citations · 2017
- 4
- 5An Immune System Based Multi-robot Mobile Agent Network23 citations · 2008
- 6
- 7Towards a dynamic emotional model19 citations · 2009
- 8On Realizing a Multi-Agent Emotion Engine18 citations · 2011
- 9Comparative study of frontier based exploration methods14 citations · 2017
- 10