{"id":27425,"date":"2024-01-12T11:04:50","date_gmt":"2024-01-12T10:04:50","guid":{"rendered":"https:\/\/transferencia.umh.es\/?p=27425"},"modified":"2026-10-13T10:11:52","modified_gmt":"2026-10-13T08:11:52","slug":"optimizacion-de-trayectorias-y-secuenciacion-robotica-para-la-industria-4-0","status":"publish","type":"post","link":"https:\/\/transferencia.umh.es\/en\/2024\/01\/12\/optimizacion-de-trayectorias-y-secuenciacion-robotica-para-la-industria-4-0\/","title":{"rendered":"Trajectory Optimisation and Robotic Sequencing for Industry 4.0"},"content":{"rendered":"

<\/p>\n

<\/p>\n
\n

Trajectory Optimisation and Robotic Sequencing for Industry 4.0<\/h1>\n

When a set of parts must be transported from their current positions to their destinations during a manufacturing process, the order in which the available resources are used to carry out this task can be optimised to reduce the distance travelled or the time taken. To this end, algorithms have been designed to determine the optimal order in which a task should be performed, taking mechanical and\/or energy-related constraints into account.<\/h2>\n<\/header>\n
\n

TECHNOLOGY DESCRIPTION<\/h3>\n
\n

Many industrial processes require parts to be grouped or sorted during the manufacture of certain products. Typical examples include grouping the different parts that make up a product sold in disassembled form and intended to be assembled by the customer, or, in the fashion industry, grouping components of different shapes or materials that make up a product (textile garments or footwear).<\/p>\n

In mass production, the order in which each item is transported results in productivity gains or losses in industrial operations. Calculating the optimal sequence for carrying out tasks therefore makes it possible to increase process productivity.<\/p>\n

A robotic system has been developed at the University that identifies the parts placed in its working environment and can calculate the optimal operating sequence to carry out the task in the shortest possible time.<\/p>\n

Our solution to the problem has been to develop a set of algorithms based on decision trees, mathematical models of binary integer programming and reinforcement learning<\/i> to calculate the best sequence for handling the parts.<\/p>\n<\/div>\n<\/section>\n

<\/p>\n

\n

TECHNOLOGY APPLICATIONS<\/h3>\n
\n
\n
\n
\n

Robotic handling optimisation can be applied in the following areas:<\/p>\n