Optimizing compliant gripper mechanism design by employing an effective bi-algorithm: fuzzy logic and ANFIS

This investigation confronts the note-worthy improvement configuration gap in which such a design method could be better focused on the multi-objective optimization design of a compliant gripper mechanism as a robot arm through an effective hybrid algorithm of fuzzy logic and adaptive neuro-fuzzy inference system (ANFIS). We found that the proposed bi-algorithm approach is more compelling than theoretical ideas like auxiliary shape changes, materials, and directors of mechanisms when designing the compliant gripper mechanism with a set of novel multi-objective optimization design recently. In particular, it explores whether the compliant gripper mechanism shapes affect picking things up. In this unique study, we considered displacement values and the frequency values as response parameters during the simulation and the optimization design process. To test the effectiveness of the optimal design method, we proposed an initial compliant gripper mechanism carried out through the numerically experimental matrix-the Box-Behnken design. After that, we simulated the numerical model by utilizing the finite element method incorporating the approaches of desirability function, fuzzy logic system, and ANFIS. The results turn larger than those of the previous approaches. Moreover, numerical results reveal that the suggested hybrid method has a computational exactness more conspicuous than that of the Taguchi method. In short, the principle accomplishments with variables to the compliant gripper mechanism optimization design can be summarized up as follows: (i) the promising and potential proposed approach could meet the clients' prerequisite, (ii) the idea of multi-objective optimization design ought to be re-considered when designing compliant gripper mechanism as well as applying related designing fields at the diminished expenses and the shortage time.

Automated summary

This study utilizes a hybrid algorithm of fuzzy logic and ANFIS to optimize the design of a compliant gripper mechanism, focusing on response parameters such as displacement values and frequency values. The bi-algorithm approach was found to be more effective than traditional methods, showing promising potential for client satisfaction and rethinking the concept of multi-objective optimization design in related fields.