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Deep Reinforcement Learning-Based Cooperative Harvesting Strategy for Dual-Arm Robots in Apple Picking

In the field of orchard harvesting, this study proposes a collaborative picking strategy for dual-arm robots, aiming to improve efficiency, reduce labor burden, and achieve precise automation. The strategy combines the Multi-Agent Proximal Policy Optimization (MAPPO) algorithm with the Multi-Objecti...

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Principais autores: Jinxing Niu, Qingyuan Yu, Mingbo Bi, Junlong Zhao, Tao Zhang
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2025-11-01
Serier:Agronomy
Fag:
dual-arm robot
collaborative picking
dynamic obstacle avoidance
multi-target allocation
reinforcement learning
Online adgang:https://www.mdpi.com/2073-4395/15/11/2565
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