Having a strong background in computer vision, my research focuses on decision-making under the uncertainty inherent in visual perception. I am particularly interested in developing safe reinforcement learning agents that utilize object recognition to perceive their dynamic environment. My work aims to bridge the gap between perception and action by exploring how intelligent systems can make robust decisions despite uncertain perceptions, ensuring safety and reliability in real-world scenarios.