Design of an Autonomous Precision Pollination Robot
Nicholas Ohi
Kyle Lassak
Ryan M. Watson
Jared Strader
Yixin Du
Chizhao Yang
G. Hedrick
Jennifer Nguyen
Scott Harper
Dylan Reynolds
Cagri Kilic
J. Hikes
Sarah Mills
Conner Castle
Benjamin Buzzo
Nicole L Waterland
Jason N. Gross
Yong-Lak Park
Xin Li
Yu Gu

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.
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