Amidst the dynamic nature and emerging technologies such as expert systems like Artificial intelligence (AI), advances in the Artificial General Internet of Things (AG-IoT) landscape within the robotics and computer vision arena. This chapter forecasts the possible developments based on the current state-run, intensifying machinery, impairments, future trends, prospects, and encounters. Technology manufacturers face challenges related to improving performance, efficiency, and sustainability as the global population continues to grow with increased device connections. The combination of AG-IoT with robotics has actually ended up being a transformative pressure, reinventing standard AG-IoT methods. The exploration of the existing state reveals a varied selection of AG-IoT innovations currently released in AI, along with robot applications varying from independent autos to air-borne drones and robot arms. However, despite considerable developments, a variety of obstacles continue, consisting of interoperability concerns, scalability restrictions, and governing obstacles. The research highlights the value of considering moral, monitoring, and cybersecurity implications in the development and release of AG-IoT systems for robotics. A lot more still, valuable applications of AG-IoT in farming robotics determine tangible advantages in relation to enhanced plant yield, resource efficiency, and sustainability. Furthermore, the phase identifies plentiful chances for research, modern technology, and collaboration, emphasizing the potential monetary, social, and ecological advantages of inviting AG-IoT modern technologies in agriculture. Ultimately, this chapter summarizes the transformative measurements of AG-IoT for robotics and sampled possibilities for a sustainable technical future.