To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...
Most of you have used a navigation app like Google Maps for your travels at some point. These apps rely on algorithms that ...
Incorporating multiple constraints such as task completion time, UAV payload capacity, and flight range into path optimization algorithms allows for more efficient search patterns.
Abstract: This paper presents an improved hybrid path planning algorithm integrating Rapidly-exploring Random Tree Star (RRT*) and Artificial Potential Field (APF) for inspection robots with ...
Abstract: Traditional trajectory planning algorithms for multi-UAVs face challenges such as difficulty in establishing cooperative mechanisms and poor adaptability to dynamic obstacle environments. To ...
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