Author(s): Tarun Madan Kanade, Suraj Bimal Sharma, Tushar K. Savale and Amit Arun Medhekar
IoT-integrated robotics have altered various industries by enabling robots to do tasks using sophisticated data processing and networked systems. IOT in robots has made considerable progress over time, as this chapter shows. IOT in robotics has evolved from sensors and actuators to complex, networked systems via invention and development. To understand smart, autonomous robotic systems, sensors, communication protocols, and data processing units are examined. Modern industrial automation, healthcare, and smart home applications demonstrate IOT-enabled robots' benefits and varied uses. IOT enhances efficiency and predictive maintenance in smart industries and allows assistive robot-based remote monitoring and telemedicine in healthcare. Artificial intelligence, machine learning, 5G networking, and strong cybersecurity are studied for their effects on the industry. These technologies improve robotic autonomy, scalability, interoperability, and data security. The chapter discusses IOT-robotics ecosystem obstacles, including technical limitations and ethical considerations like privacy and automation's societal impacts. Quantum computing and neuromorphic sensors are evaluated as key technologies for robotics IOT.