Dynamic Task Planning for Multi-Arm Apple-Harvesting Robots Using LSTM-PPO Reinforcement Learning Algorithm

Dynamic Task Planning for Multi-Arm Apple-Harvesting Robots Using LSTM-PPO Reinforcement Learning Algorithm

This paper presents a dynamic task planning approach for multi-arm apple-picking robots based on a deep reinforcement learning (DRL) framework incorporating Long Short-Term Memory (LSTM) networks and Proximal Policy Optimization (PPO). In the context of rising labor costs and labor shortages in agri...

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Bibliographic Details
Main Authors: Zhengwei Guo, Heng Fu, Jiahao Wu, Wenkai Han, Wenlei Huang, Wengang Zheng, Tao Li
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Agriculture
Subjects:
deep reinforcement learning
multi-arm harvesting robot
PPO
dynamic task planning
Online Access:https://www.mdpi.com/2077-0472/15/6/588
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