Introduction to Mechanical Design of AI‐Based Robotic System

Recent advancements in computing (AI), mechatronics, and electrical engineering have enabled the development of more advanced robotics systems that can adapt to their surroundings and operate more effectively in diverse environments. This has led to a shift in the way we think about industrial production, as machines are no longer simply calibrated to their surroundings but are designed to interact with them in more dynamic and flexible ways. This shift toward more adaptable and intelligent robotic systems has significant implications for the future of manufacturing, as it enables greater flexibility, agility, and responsiveness in production processes. With the ability to sense and respond to changes in their environment, robots can optimize their performance and reduce downtime, leading to greater efficiency and productivity. Moreover, these advancements have also made it easier to integrate robotics systems into existing production environments, as they can be designed to work seamlessly with existing equipment and processes. The potential of robots to undertake arduous risky work makes robotics a crucial subject in today's engineering curricula, only when a robot is intended to relieve a human worker from tedious, unpleasant, dangerous, or very precise tasks. Often, a robot is made to help a human worker.The robot is developed using mechanical elements integrated with electronic components and programmed to make it functional and usable. The fundamental elements connected to robots are discussed in this chapter. Various elements that are integrated to form a robot are links and joints, which form the kinematic model. In general, robots are of serial and close‐chain architecture. A serial chair example has been considered using an arm exoskeleton, whereas for close‐chain architecture, a Stewart platform is considered.