Thevathayarajh Thayananthan

Mississippi State University, University of Georgia

Papers

Total Citations

H-Index

About

Thevathayarajh Thayananthan is a robotics researcher specializing in agricultural automation and educational technology. His work focuses on developing vision-guided robotic systems for harvesting high-value specialty crops, with particular emphasis on soft robotics and multi-ripeness level detection. His most cited paper, "Multi-ripeness level blackberry detection using YOLOv7 for soft robotic harvesting" (2023, 2 citations), addresses the challenge of selective harvesting in delicate crops where multiple passes are required due to uneven ripening. Thayananthan also explores the intersection of robotics and education, as demonstrated in his work "Leveraging Virtual Reality for Robot Manipulator Education" (2023, 1 citation), which tackles the high costs and expertise barriers to hands-on robotics training. His more recent contribution, "CottonSim: A vision-guided autonomous robotic system for cotton harvesting in Gazebo simulation" (2025, 1 citation), extends his agricultural robotics research to cotton—a major U.S. cash crop—addressing environmental and cost challenges in harvesting. Through his research, Thayananthan is advancing the frontier of precision agriculture and making robotics education more accessible, contributing to the future of sustainable farming and workforce development.