Sanjoy Das
Papers
2
Total Citations
13
H-Index
2
About
Sanjoy Das is a researcher at the forefront of agricultural robotics and autonomous systems, specializing in the safe and efficient operation of ground vehicles on challenging, sloping terrains. His major contributions lie in developing deep learning and distributed algorithms to enable autonomous navigation and coverage path planning where conventional human-operated machinery is too dangerous. Notably, his 2023 work on deep neural networks for predicting autonomous ground vehicle behavior on slopes has garnered 11 citations, addressing the critical issue of tractor rollovers on terrain with gradients over 10%. Das proposes a fleet of autonomous ground vehicles (AGVs) as a safer alternative for farming on arable hills and uneven land. Complementing this, his 2022 distributed approach for robotic coverage path planning under steep slope conditions, while newer, introduces a novel algorithm for uniform seed dispersion in high-risk areas. Through these innovations, Das is directly tackling the safety and productivity challenges of hillside agriculture, paving the way for autonomous farming on previously inaccessible or hazardous land.
Research Focus
Key Achievements
Top Papers
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- 2