Design of an Autonomous Precision Pollination Robot
Nicholas Ohi, Kyle Lassak, Ryan Watson, Jared Strader, Yixin Du, Chizhao Yang, Gabrielle Hedrick, Jennifer Nguyen
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.
BibTeX
@inproceedings{iros2018_designofanautono,
title = {Design of an Autonomous Precision Pollination Robot},
author = {Nicholas Ohi and Kyle Lassak and Ryan Watson and Jared Strader and Yixin Du and Chizhao Yang and Gabrielle Hedrick and Jennifer Nguyen and Scott Harper and Dylan Reynolds and Cagri Kilic and Jacob Hikes and Sarah Mills and Conner Castle and Benjamin Buzzo and Nicole Waterland and Jason Gross and Yong-Lak Park and Xin Li and Yu Gu},
booktitle = {IROS 2018},
year = {2018}
}