Ilankaikone Senthooran

Monash University, Tokyo Institute of Technology

Papers

Total Citations

207

H-Index

About

Ilankaikone Senthooran is a researcher at the forefront of multi-robot systems and autonomous perception, whose work bridges the gap between theoretical algorithms and real-world deployment. His most influential contribution, the highly-cited survey "Search and tracking algorithms for swarms of robots" (183 citations), has become a foundational reference for researchers designing coordinated behaviors in robotic collectives. Beyond swarm intelligence, Senthooran has made significant strides in 3D spatial computing, developing a distributed framework that enables high-impact swarming applications for in-flight wireless sensor networks—from autonomous mapping and environmental monitoring to disaster site assessment. His technical expertise extends to robust computer vision, where he introduced an efficient RANSAC hypothesis evaluation method using sufficient statistics for RGB-D pose estimation (10 citations), improving the speed and reliability of 3D scene understanding. With a career that also encompasses soft real-time systems engineering, Senthooran’s work demonstrates a rare ability to advance both the theoretical foundations and practical implementations of autonomous systems. His research continues to shape how swarms of robots perceive, navigate, and collaborate in complex, unstructured environments.