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Design of an Autonomous Precision Pollination Robot

Nicholas Ohi, Kyle Lassak, Ryan M. Watson, Jared Strader, Yixin Du, Chizhao Yang, Gabrielle Hedrick, Jennifer Nguyen, Scott Harper, Dylan Reynolds, Çağri Kiliç, Jacob Hikes, Sarah Mills, Conner Castle, Benjamin Buzzo, Nicole L. Waterland, Jason N. Gross, Yong‐Lak Park, Xin Li, Yu Gu

Year
2018
Citations
85

Abstract

Precision robotic pollination systems can not only fill the gap of declining natural pollinators, but can also surpass them in efficiency and uniformity, helping to feed the fast-growing human population on Earth. This paper presents the design and ongoing development of an autonomous robot named “BrambleBee”, which aims at pollinating bramble plants in a greenhouse environment. Partially inspired by the ecology and behavior of bees, BrambleBee employs state-of-the-art localization and mapping, visual perception, path planning, motion control, and manipulation techniques to create an efficient and robust autonomous pollination system.

Keywords

PollinationMotion planningGreenhouseRobotComputer sciencePollinatorPopulationArtificial intelligenceAutonomous robotMobile robot

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