<b> An Improved Particle Swarm Algorithm Optimization </b>

We propose an improved particle swarm optimizer (IPSO) with adaptive inertia weight and asynchronous learning factors to enhance the optimization performance.The practical efficacy of the IPSO algorithm was validated through experimental trials conducted on a custom-designed six-degree-of-freedom (6-DOF) collaborative robotic manipulator platform, which demonstrated the viability of IPSO algorithm in real-world manufacturing applications. The findings suggest that the proposed IPSO algorithm offers a promising solution for enhancing manipulator control efficiency in digital manufacturing systems. For more details, please refer to the published paper named "Optimization of manipulator inverse kinematics using improved particle swarm algorithm for enhanced manufacturing efficiency<br>"（DOI: 10.1177/09544054241310337）. If there are any questions, welcome to communicate with us, the contact email:[email protected]. If the code shared is helpful for your work, please don't mind citing the paper, all the authors thank you for your support of the original work!<br>