Robotics and intelligent systems are intricately connected, each exploring their respective capabilities and moving towards a common goal. In industry, it is common to see robotic systems aided by machine learning and vice versa in applications including robot navigation, grasping, human-robot interaction collaboration, safety and team management, among others. Achievements targeting the industrial domain can be directly applied in robotic systems operating in other domains. While significant advances have been made in the last few years, industrial robotics and intelligent systems face several scientific and technological challenges related to their integration with other systems, interaction with humans, safety, flexibility, reconfigurability and autonomy. These challenges are especially relevant for robots operating in unstructured industrial environments and sharing a workspace with human coworkers and other robots.