Journal of Electrical Engineering and Automation

Industrial robot automated assembly systems demonstrate significant advantages in enhancing manufacturing efficiency, reducing labor costs, and improving product consistency. Through systematic design and motion control optimization research, this study achieves high-precision and high-speed coordination in assembly processes via modular structural layouts, flexible assembly unit integration, and precise path planning algorithms. The motion control component employs dynamic trajectory optimization and adaptive control strategies, combined with sensor feedback and real-time error compensation, effectively improving system stability and response speed. Research findings indicate that this optimized solution significantly reduces assembly cycles, improves assembly quality, and lowers energy consumption. These advancements provide theoretical and technical support for the widespread application of industrial robots in multi-variety small-batch production scenarios.

Industrial robot; Automatic assembly; Motion control optimization; Path planning; Adaptive control