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About

S. Selva Kumar is a robotics researcher whose work focuses on advancing autonomous systems for agricultural applications, particularly in paddy field environments. His primary research areas include multi-robot coverage path planning, obstacle detection, and precision weeding automation. His most significant contribution is the development of an optimized offline-coverage path planning algorithm for multi-robot weeding in paddy fields, which addresses the critical challenge of efficient area coverage in cyclical agricultural operations—a paper that has garnered 25 citations since 2023. Kumar has also made notable strides in hardware-software integration, demonstrated through his ROS-based obstacle detection robot combining ultrasonic sensors and FMCW radar, and his innovative in-row weeding robot featuring a novel wheel assembly and angle adjustment mechanism specifically designed for slurry paddy fields. His work on model identification and position control of DC motors further showcases his expertise in control systems. With a growing citation impact, Kumar's research is paving the way for cost-effective, scalable robotic solutions that promise to transform traditional farming practices into automated, precision-driven operations.