WANDERLEY, W. K. G.; http://lattes.cnpq.br/7984712673243333; WANDERLEY, William Kennedy Gomes.
Resumo:
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.