Ardiansyah Al Farouq

SafePCA: Enhancing Autonomous Robot Navigation in Dynamic Crowds Using Proximal Policy Optimization and Cellular Automata

Navigating robots in dynamic environments, such as human crowds, is a major challenge due to the trade-off between performance and robustness. Traditional reinforcement learning methods, such as Proximal Policy Optimization (PPO), have shown strong adaptation capabilities but require extensive train