Dynamics, Control Strategies, and Robotics: A Review of Intelligent Mechanical Systems
Keywords:
Intelligent mechanical systems, Robotics integration, Adaptive & AI-based control, Nonlinear system dynamics, Autonomous systems & smart applicationsAbstract
Today’s engineers employ intelligent mechanical systems that mix mechanical structures and complex control algorithms with robotic technology to help create machines that can function independently and adapt to unknown environments. These technologies are used in smart manufacturing, industrial automation, self-driving vehicles, and healthcare robots. It is difficult to develop automatic controls, operate a robot in real time, and even to model them due to their nonlinear dynamics and unpredictable operating conditions. Therefore many researches have found to be used to develop better dynamic modelling and smart control to make better system both stability, accuracy and adaptability. The current study of intelligent mechanical systems cover robotics integration, control methodology, and system dynamics. We discuss previous and new methods to study mechanical and robotic systems. Other control techniques that are currently under investigation are adaptive, fuzzy logic, neural-network-based, proportional-integral-derivative (PID) and reinforcement learning. This paper explores the application of robotics to put smart mechanical systems in many different settings. The emphasis is laid on significant research challenges, technical constraints and future research prospects for intelligent robots and autonomous mechanical systems.
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