A Proposal of FPGA-based Low Cost and Power Efficient Autonomous Fruit Harvester
Published in 2020 The 6th International Conference on Control, Automation and Robotics, 2020
In this paper, we present a power-efficient and low cost prototype of a robotic harvester which employs multiple subsystems such as fruit detection, odometry, localization, proficient manipulation through computer vision, deep learning and a novel end-effector design.
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