Energy-Efficient and Scheduling-Optimized Path Planning for Unmanned Transport Vehicles in Raspberry Cultivation

Key Points

• The research aims to improve path planning and energy efficiency for unmanned transport vehicles in raspberry cultivation.
• Development of the ZWJ algorithm for multi-objective path planning
• Integration of workload-aware energy consumption and scheduling
• Simulation of various raspberry cultivation scenarios compared against Greedy and A* algorithms
• The ZWJ algorithm outperformed Greedy and A* algorithms in energy efficiency and task completion time
• Enhanced performance in coordinating tasks among multiple workers in narrow passageways
• Adaptation to constraints of raspberry cultivation environments demonstrated

Abstract