Advances in Image Processing, Artificial Intelligence, and Intelligent Robotics

In recent years, scientists and engineers have been striving to make digital image processing as efficient as the human visual system [1]. The integration of artificial intelligence, deep learning, and soft computing techniques has led to the development of advanced image processing algorithms [1,2]. Image processing is crucial in intelligent robotics, where the objective is to achieve precise, robust, and intelligent control based on visual data [3–5]. This has inspired the use of vision sensors and cameras in robotics, leading to innovative applications across industries such as agriculture, biology, and medicine [6–10]. Modern industrial systems are characterized by the extensive integration of various imaging devices and sensors, which in itself requires the use of multifarious image processing and artificial intelligence-based algorithms, which form the basis of or serve as an aid in the production and control process. Further, in medical diagnostics, image processing and artificial intelligence are of particular importance, since they play a significant role in novel medical devices. Recently, the use of artificial intelligence in image processing has attracted significant attention in all industries and is a very popular research direction in the scientific and research community at present. This Special Issue aims to provide researchers with a platform to present new trends, recent advancements, and future research directions. Contributions that addressed key challenges in image processing, deep learning, soft computing, sensor fusion, and robotic vision, as well as their applications in industrial robotics, were invited and accepted.