Dynamic Task Planning for Multi-Arm Harvesting Robots Under Multiple Constraints Using Deep Reinforcement Learning

Dynamic Task Planning for Multi-Arm Harvesting Robots Under Multiple Constraints Using Deep Reinforcement Learning

Global fruit production costs are increasing amid intensified labor shortages, driving heightened interest in robotic harvesting technologies. Although multi-arm coordination in harvesting robots is considered a highly promising solution to this issue, it introduces technical challenges in achieving...

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Bibliographic Details
Main Authors: Feng Xie, Zhengwei Guo, Tao Li, Qingchun Feng, Chunjiang Zhao
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Horticulturae
Subjects:
multi-arm harvesting robots
target planning
multiple constraints
deep reinforcement learning
Online Access:https://www.mdpi.com/2311-7524/11/1/88
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