A Disaster Relief UAV Path Planning Based on APF-IRRT* Fusion . . . - MDPI Unmanned Aerial Vehicle (UAV) path planning has increasingly become the key research point for civilian drones to expand their use and enhance their work efficiency Focusing on offline derivative algorithms, represented by Rapidly-exploring Random Trees (RRT), are widely utilized due to their high computational efficiency However, deploying these offline algorithms in complex and changing
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The hybrid path planning algorithm based on improved A* and artificial . . . Improved APF converts vector force into a potential field Local path planning ensures real-time performance of formation (UAV), unmanned ground vehicle (UGV) and mobile robots are studied (Qiu and Duan, 2014; Zuo et al , 2016), there is few works focused on developing a robust formation path planning algorithm for USVs (Liu and Bucknall