Redes Bayesianas: predição de trajetória ótima em quadrotores.

Abstract

This study aimed to find the optimal trajectory of quadrotors using a Bayesian network, crucial in fields such as robotics and autonomous navigation. By adopting the CRISP—DM methodo— logy, it was possible to comprehensively analyze the problem, demonstrating the feasibility of employing modern development techniques. The results obtained allowed for data acquisition on the trajectories found and the measurement of the execution time of system components, essential for evaluating its performance. This work contributes to advancing knowledge in optimal trajectory prediction, providing a solid foundation for future research and practical applications in autonomy and robotics.