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About

Willson Amalraj Arokiasami is a researcher whose work lies at the intersection of autonomous robotics, multi-agent systems, and human-robot interaction. His primary contributions focus on developing interoperable frameworks for unmanned aerial and ground vehicles, enabling coordinated autonomy in complex missions such as patrolling, surveillance, and urban search and rescue. His most cited paper (27 citations) introduces a multi-agent architecture that breaks away from platform-specific designs, allowing aerial and ground robots to collaborate seamlessly. Arokiasami also pioneered intuitive control methodologies, as demonstrated in his work on fuzzy logic controllers for UAVs using Microsoft Kinect (8 citations), which simplifies operator input while maintaining robust navigation. His research on vector-directed path generation (5 citations) addresses fundamental challenges in autonomous path planning and tracking, critical for real-world deployment. Additionally, his investigation into optical flow vectors for time-to-contact estimation (2 citations) contributes to safer obstacle avoidance in dynamic environments. Through these efforts, Arokiasami advances the practicality of autonomous robot teams, bridging the gap between theoretical algorithms and field-ready systems for hazardous environments.