Janelle Wigal
Papers
1
Total Citations
9
H-Index
1
About
Janelle Wigal is a researcher whose work bridges the gap between theoretical swarm intelligence and practical robotics. Her key research areas include multi-robot systems, bio-inspired optimization algorithms, and autonomous search and rescue operations. Wigal's most significant contribution is her pioneering application of the particle swarm optimization (PSO) algorithm to real-world robotic control, as detailed in her highly cited 2016 paper. In this work, she adapted the classic PSO algorithm to coordinate a small swarm of robots for search and rescue missions, addressing critical challenges like communication constraints and dynamic environments. With 9 citations, this paper stands as a foundational reference for researchers looking to deploy swarm intelligence outside of simulation. Wigal's modifications to the original algorithm—tailoring its velocity and position updates for physical robots—demonstrate her practical engineering mindset. Her work has directly influenced the development of more robust, decentralized robotic teams capable of operating in disaster zones. By proving that swarm algorithms can be effectively translated from theory to hardware, Wigal has opened new avenues for autonomous emergency response systems.
Research Focus
Key Achievements
Top Papers
- 1