This study presents an approach that combines APF for pathfinding, a Bayesian Regressing Neural Network (BRNN) for obstacle classification, and fuzzy logic for adaptive collision avoidance. Unlike traditional methods, it extends navigation beyond static obstacles to account for dynamic targets, improving real-time adaptability. The system is implemented in MATLAB and validated in the V-REP simulation environment.

Алсайед Н. (науч. рук. Краснов А.Ю.) Dynamic environment navigation using hybrid control algorithms for autonomous mobile robots // Сборник тезисов докладов конгресса молодых ученых. Электронное издание. – СПб: Университет ИТМО, [2025]. URL: https://kmu.itmo.ru/digests/article/14876