Research and application of reinforcement learning in robotics for contact-rich manipulation
tasks have exploded in recent years. Its ability to cope with unstructured environments and …

Industrial control systems (ICSs), supervisory control and data acquisition (SCADA) systems,
and distributed control systems (DCSs) are fundamental components of critical infrastructure …

Agile product development cycles and re-configurable Industrial Internet of Things (IIoT)
allow more flexible and resilient industrial production systems that can handle a broader …

With the advent of intelligent manufacturing era, smart mobile robots have taken the major
roles on transporting materials through intelligent dynamic production environment. It is …

Safety is a major concern for Industrial 4.0 where different physical parameters are
monitored for avoiding uncertain events in the industry. In industries, natural calamities like …

Nowadays, the growing interest in industry for enhancing the sustainability of manufacturing
processes is becoming a major trend. Energy consumption can be lowered by controlling …

This survey paper provides a review and perspective on intermediate and advanced
reinforcement learning (RL) techniques in process industries. It offers a holistic approach by …

Automation and robotics have advanced significantly with the introduction of Industry 4.0,
revolutionizing the manufacturing environment. This study examines the evolution of product …

One central area of current Internet of Things (IoT) research is developing methods for
objects to sense their environment autonomously and then link them together so that they …

Abstract Current Internet of Things (IoT) research focuses on inserting cognition into its
system architecture and design. Therefore, Cognitive IoT (CIoT) has emerged. CIoT inherits …