Ponnuthurai Nagaratnam Suganthan
Papers
8
Total Citations
120
H-Index
5
About
Ponnuthurai Nagaratnam Suganthan is a leading figure in computational intelligence and multi-robot systems, with a research focus that bridges optimization algorithms, swarm robotics, and autonomous navigation. His most impactful work addresses the complex coordination challenges of multi-robot task allocation, particularly in agricultural and industrial settings. Suganthan has pioneered the application of nature-inspired algorithms—such as discrete artificial bee colony and bacterial foraging optimization—to optimize robot scheduling, routing, and task splitting in dynamic environments. His 2023 paper on multi-objective multi-picking-robot task allocation has garnered 51 citations, reflecting its significance in advancing Agriculture 4.0. He has also made notable contributions to autonomous exploration, developing LiDAR-based end-to-end active SLAM using deep reinforcement learning for large-scale environments, and proposing versatile LiDAR-inertial odometry with SE(2) constraints for ground vehicles. Beyond robotics, Suganthan has explored cultural algorithms for evolving cooperative tactics in multi-agent systems. His work consistently demonstrates a commitment to solving real-world problems through intelligent optimization, earning him recognition as a key innovator in the intersection of evolutionary computation and autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 4Versatile LiDAR-Inertial Odometry With SE(2) Constraints for Ground Vehicles13 citations · 2023
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