Symbiotic Automation

The merging of AI, IOT and robotics is leading to a revolution in industrial automation as intelligent systems are becoming not just confined to isolated functions but rather active participants in complex operational environments and ecosystems. In this chapter, we address how the integration of AI-enabled IoT systems into mobile robots can help them navigate indoors and perform Human-Robot Interaction /collaboration tasks in smart industrial environments. We examine the use of techniques such as deep reinforcement learning, sensor fusion, and edge analytics that allow mobile robots to dynamically sense, adapt, and interact with changing factory layouts. These systems use networked sensors to tap into real-time environmental data. They rely on this data to make precise navigational decisions and avoid unexpected obstacles. This study looks at architectural, ethical and interoperability challenges of scaling cyber-physical systems and cognitive AI models.