The AI and Mechanisms space seeks to market analysis and develop technologies that change systems to exhibit intelligent, goal-oriented behavior, and developing innovative instruments to observe, manipulate, and management systems. Overall, our analysis spans the subsequent areas: golem robots, intelligent management systems, versatile manipulators, mechanism theory, microsensors and actuators, and compliant mechanism. we tend to target enabling technologies that necessitate novel style solutions in terms of development of recent strategies of synthesis, analysis & optimization of novel robots and mechanisms. The interaction between AI and management theory includes a made history extending back over a century. We begin this section of the report by briefly reviewing the history of this interaction, focusing on basics—how management theory has enabled solutions to fundamental issues in AI and the way issues in AI have intended the event of recent management theory. we tend to focus totally on the first years, because the importance of recent results usually takes substantial time to be totally appreciated and to possess an impression on sensible applications. Progress in AI has been particularly speedy within the last decade or, and therefore the future continues to seem bright. Robotics was dominated too soon by the machine business. As such, the first philosophy within the style of robots was to style mechanisms to be as stiff as doable with every axis controlled severally as a single-input/single-output (SISO) linear system. Point-to-point management enabled easy tasks like materials transfer and spot fastening. Continuous-path pursuit enabled additional advanced tasks like arc fastening and spraying. Sensing of the external surroundings was restricted or nonexistent. Consideration of additional advanced tasks like assembly needed regulation of contact forces and moments. Higher speed operation and better payload-to-weight ratios needed associate degree multiplied understanding of the advanced, interconnected nonlinear dynamics of robots. This demand intended the event of recent theoretical ends up in nonlinear, robust, and adaptative management, that successively enabled additional subtle applications.