Kumar Nilay
Papers
1
Total Citations
4
H-Index
1
About
Nilay Kumar is a researcher at the forefront of agricultural robotics and embedded systems, with a focus on developing low-cost, energy-efficient autonomous solutions for precision farming. His most cited work, "A Proposal of FPGA-Based Low Cost and Power Efficient Autonomous Fruit Harvester," introduces a novel robotic harvester that integrates computer vision, deep learning, and a custom end-effector design for fruit plucking. This paper, with 4 citations, showcases his ability to combine FPGA-based hardware acceleration with intelligent perception and manipulation subsystems, achieving a balance between affordability and performance. Kumar’s contributions lie in advancing field-ready automation for agriculture, addressing critical challenges in fruit detection, odometry, and localization. His work is notable for its practical, power-efficient approach, making autonomous harvesting more accessible to small and medium-scale farms. By bridging embedded systems with AI-driven robotics, Kumar is helping to shape the future of sustainable and scalable agricultural technology.
Research Focus
Key Achievements
Top Papers
- 1