Israel L. Donato Ridgley

Papers

Total Citations

H-Index

About

Israel L. Donato Ridgley is a pioneering researcher in distributed robotics and human-swarm interaction, with a focus on scalable, low-dimensional control strategies for multi-robot systems. His most-cited work, "Self-Healing Distributed Swarm Formation Control Using Image Moments" (2024, 2 citations), introduces a novel approach that encodes swarm formations through image moments—a compact representation independent of the number of robots. This breakthrough enables intuitive human-swarm interaction by allowing operators to specify desired formations via simple moment parameters, while each robot autonomously adjusts its pose to achieve and maintain the formation. The system’s self-healing capability ensures resilience against robot failures or environmental disturbances, making it highly practical for real-world applications like search-and-rescue or environmental monitoring. Ridgley’s contributions bridge the gap between high-level human commands and low-level robot coordination, advancing the field of swarm robotics toward more accessible and robust systems. His work has been recognized for its elegance and potential impact, earning citations from researchers exploring distributed control and human-robot collaboration.