日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

マニピュレーションarXiv:2403.15306

HortiBot: ピーマン収穫のための適応型マルチアームロボットシステム

HortiBot: An Adaptive Multi-Arm System for Robotic Horticulture of Sweet Peppers

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温室でのピーマンの選択収穫を自動化するため、2本のマニピュレーションアームと1本の知覚用アームを備えた3本腕ロボットシステムを開発し、能動知覚とコンプライアント操作により高い成功率を達成した。

著者: Christian Lenz, Rohit Menon, Michael Schreiber, Melvin Paul Jacob, Sven Behnke, Maren Bennewitz

分類: cs.RO

原文アブストラクト

Horticultural tasks such as pruning and selective harvesting are labor intensive and horticultural staff are hard to find. Automating these tasks is challenging due to the semi-structured greenhouse workspaces, changing environmental conditions such as lighting, dense plant growth with many occlusions, and the need for gentle manipulation of non-rigid plant organs. In this work, we present the three-armed system HortiBot, with two arms for manipulation and a third arm as an articulated head for active perception using stereo cameras. Its perception system detects not only peppers, but also peduncles and stems in real time, and performs online data association to build a world model of pepper plants. Collision-aware online trajectory generation allows all three arms to safely track their respective targets for observation, grasping, and cutting. We integrated perception and manipulation to perform selective harvesting of peppers and evaluated the system in lab experiments. Using active perception coupled with end-effector force torque sensing for compliant manipulation, HortiBot achieves high success rates in our indoor pepper plant mock-up.

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