Bridging The Gap Between Deep Learning And Probabilistic Inference For Advancements In Robotics

This article discusses the integration of artificial intelligence and machine learning, particularly deep learning, into robotics and the potential for improved performance. It also explores the question of whether robots can rely solely on data-driven learning approaches for dependable and adaptive behaviors. The Special Issue aims to bridge the gap between deep learning and probabilistic inference in robotics by bringing together experts from these fields.