Exploring Attention and Neuromorphic Engineering in Robotics

This chapter examines the intricate relationship between attention mechanisms in vision and the limitations of traditional motion-driven models in event-based cameras. It explores the significance of integrating diverse data types for a more holistic understanding of visual perception, along with the evolution and advancements in neuromorphic engineering for robotic control. The discussion further highlights the impact of historical contributions and collaborative efforts on the field, emphasizing the importance of adaptive learning and population coding in enhancing robotic functionality.