Design of Stickbug: a Six-Armed Precision Pollination Robot

This work presents the design of Stickbug, a six-armed, multi-agent, precision pollination robot that combines the accuracy of single-agent systems with swarm parallelization in greenhouses. Precision pollination robots have often been proposed to offset the effects of a decreasing population of natural pollinators, but they frequently lack the required parallelization and scalability. Stickbug achieves this by allowing each arm and drive base to act as an individual agent, significantly reducing planning complexity. Stickbug uses a compact holonomic Kiwi drive to navigate narrow greenhouse rows, a tall mast to support multiple manipulators and reach plant heights, a detection model and classifier to identify Bramble flowers, and a felt-tipped end-effector for contact-based pollination. Initial experimental validation demonstrates that Stickbug can attempt over 1.5 pollinations per minute with a 49% success rate. Additionally, a Bramble flower perception dataset was created and is publicly available alongside Stickbug’s software and design files.

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Publication Details

Published
2024-10-14
DOI
https://doi.org/10.1109/iros58592.2024.10801406
Citations
13
Primary Topic
Soil Mechanics and Vehicle Dynamics
Type
article
Field-Weighted Citation Impact
3.39

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article

Design of Stickbug: a Six-Armed Precision Pollination Robot

Jared Beard, Jason N. Gross, Trevor Alexander Smith, Yu Gu et al.
13 citations
Soil Mechanics and Vehicle Dynamics
3.39
article

Design of Stickbug: a Six-Armed Precision Pollination Robot

Jared Beard, Jason N. Gross, Trevor Alexander Smith, Yu Gu, Christopher Tatsch, R. Michael Butts, Madhav Rijal, Andy Chu, R. Tyler Cook
article en
13 citations

Abstract

This work presents the design of Stickbug, a six-armed, multi-agent, precision pollination robot that combines the accuracy of single-agent systems with swarm parallelization in greenhouses. Precision pollination robots have often been proposed to offset the effects of a decreasing population of natural pollinators, but they frequently lack the required parallelization and scalability. Stickbug achieves this by allowing each arm and drive base to act as an individual agent, significantly reducing planning complexity. Stickbug uses a compact holonomic Kiwi drive to navigate narrow greenhouse rows, a tall mast to support multiple manipulators and reach plant heights, a detection model and classifier to identify Bramble flowers, and a felt-tipped end-effector for contact-based pollination. Initial experimental validation demonstrates that Stickbug can attempt over 1.5 pollinations per minute with a 49% success rate. Additionally, a Bramble flower perception dataset was created and is publicly available alongside Stickbug’s software and design files.

West Virginia University (US)
National Science Foundation, Virginia Space Grant Consortium
Zero hunger
Openalex Percentile: Top 7%
Soil Mechanics and Vehicle Dynamics
3.39
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