Development of a Bud- and Leaf-Harvesting End Effector Capable of Simultaneous Generation of High-Fidelity Plant Digital Twins
代表機関名 Osaka Metropolitan University
採択年度 2024
フェーズ Phase 0
Leaf harvesting and leaf–bud pruning account for a substantial portion of labor time in plant production, creating a strong demand for automation. However, the diverse and complex shapes of leaves make fully automated robotic operation technically challenging.
In this study, we will develop an end effector that enables robotic leaf and bud sampling by simultaneously generating a high‑fidelity plant digital twin during operation, thereby allowing robots to recognize plant morphology in real time and perform precise manipulation.
