ABSTRACT
The growth of artificial intelligence is mainly related to the proliferation of software-based robotic systems. Some examples of these systems are mobile robots, unmanned aerial vehicles, and, increasingly, semiautonomous autos. Developing intelligent, human-friendly robots capable of interacting with and regulating an environment focused on humans is still a long way off using the technologies now available. This is because of the significant gap between the physical and algorithmic worlds. The creation of a trustworthy artificial intelligence that is embodiment-aware, conscious not only of itself but also its surroundings, and able to adapt its operating systems to the interactive body it is controlling is the end goal of the newly emerging field of study known as machine intelligence (MI), which brings together robotics and artificial intelligence (AI). Combining control, perception, and machine learning (ML) systems with artificial intelligence and robotics is necessary if completely autonomous intelligent systems are ever going to become a part of everyday life. This chapter begins with a discussion of machine intelligence's history, beginning in the twelfth century. After that, it describes the present status of robotics and artificial intelligence, evaluates major systems and recent research paths, explains the remaining problems, and imagines a future of man and machine that has not yet been made.
