Applications of Multi-Robotic Arms to Assist Agricultural Production: A Review

With the modernization of agricultural production, single-arm machine systems in agriculture are unable to meet the needs of future agricultural development. In order to further improve agricultural operation efficiency, the collaborative operation of multi-robotic arms has become a hot topic in current research. This paper focuses on the task allocation problem in the collaborative operation of agricultural multi-robotic arms and summarizes the main algorithms currently used, including the genetic algorithm, particle swarm algorithm, etc., in terms of the aspects of work area division and task planning order. On this basis, further analysis is conducted on the path planning problem of agricultural multi-robotic arms. This paper summarizes the key technologies used in current research, including heuristic algorithms, fast search rapidly exploring random trees, reinforcement learning algorithms, etc., and focuses on reviewing the present applications of cutting-edge reinforcement learning algorithms in agricultural robotic arms. In summary, the agricultural multi-robot arms system can help with agricultural mechanization and intelligent production.