A Multi-Objective Optimization Method of a Mobile Robot Milling System Construction for Large Cabins

Abstract

Constructing mobile robot milling systems with multiple mounting surfaces for large cabins still has several unsolved issues, such as huge economic and time costs, unpredictable milling accuracy and milling time. Hence, a multi-objective optimization method for constructing a mobile robot milling system of large cabins is proposed in the current paper. Firstly, mathematical models of constructing the system and the optimization objective function are established. Thereafter, a multi-objective optimization method for the mobile robot milling system construction based on NSGA-II (Fast Non-dominated Sorting Genetic Algorithm) is proposed. Finally, feasibility and validity of the proposed method are verified through comparing the optimization result with two practical mobile robot systems. Results show that the proposed method is able to estimate different combinations’ milling accuracy, cost and time consumption.

Robot-based precision recognition of small parcels images: methodology and experimental analysis

“…It is important to experimentally analyze this sorting method to identify any areas for improvement in the robot's design or programming, ultimately enhancing the overall sorting process 2,3 . Despite the large-scale logistics center's adoption of the flow process sorting method of cross belt sorter, express information screening at the sorting inlet and express sorting and handling at the exit are still mostly carried out manually [4][5][6] . This results in low sorting efficiency and a high error rate, severely limiting logistics transportation efficiency 7 .…”