腱駆動ソフトグリッパによるベリー収穫
Tendon-Driven Soft Robotic Gripper for Berry Harvesting
接触力フィードバック制御を備えた腱駆動ソフトグリッパを開発し、ブラックベリーを傷つけずに95%の信頼度で収穫できることを実地試験で示した。
著者: Anthony L. Gunderman, Jeremy Collins, Andrea Myer, Renee Threlfall, Yue Chen
分類: cs.RO
原文アブストラクト
Global berry production and consumption have significantly increased in recent years, coinciding with increased consumer awareness of the health-promoting benefits of berries. Among them, fresh market blackberries and raspberries are primarily harvested by hand to maintain post-harvest quality. However, fresh market berry harvesting is an arduous, costly endeavor that accounts for up to 50% of the worker hours. Additionally, the inconsistent forces applied during hand-harvesting can result in an 85% loss of marketable berries due to red drupelet reversion (RDR). Herein, we present a novel, tendon-driven soft robotic gripper with active contact force feedback control, which leverages the passive compliance of the gripper for the gentle harvesting of blackberries. The versatile gripper was able to apply a desired force as low as 0.5 N with a mean error of 0.046 N, while also holding payloads that produce forces as high as 18 N. Field test results indicate that the gripper is capable of harvesting berries with minimal berry damage, while maintaining a harvesting reliability of 95% and a harvesting rate of approximately 4.8 seconds per berry.
関連論文
- トマト収穫用ハイブリッドロボットメタグリッパ:格子配向を変化させたオーセティック構造の解析ソフトロボティクス/農業ロボット
- ベリーツイスト:ブラックベリー収穫のためのねじりチューブ型ソフトロボットグリッパソフトロボティクス/農業ロボット
