Vishnu Rajendran
Papers
3
Total Citations
142
H-Index
3
About
Vishnu Rajendran is pioneering the intersection of agricultural robotics and tactile sensing, with a research focus on autonomous selective harvesting, robot perception, and physical human-robot interaction. His major contributions lie in advancing the capabilities of selective harvesting robots (SHRs) to address critical challenges in global food production, including labor shortages and post-harvest waste. Rajendran’s comprehensive review on SHRs—garnering 68 citations—synthesizes the state-of-the-art in robot perception, design, motion planning, and control, offering a roadmap for more efficient, autonomous agriculture. Complementing this, his highly cited work on tactile-sensing technologies (65 citations) provides an in-depth analysis of emerging trends and challenges in agri-food manipulation, emphasizing the role of tactile feedback in precise physical tasks. Notably, Rajendran introduced Deep Functional Predictive Control (deep-FPC), a novel data-driven framework that uses tactile predictions to enhance robot pushing of 3-D clusters, enabling more adaptive and reliable manipulation in unstructured environments. Through these contributions, Rajendran is shaping the future of intelligent agricultural systems, bridging the gap between robotic dexterity and real-world farming needs.
Research Focus
Key Achievements
Top Papers
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