Título: Improving productivity using a multi-objective optimization of robotic trajectory planning
Autor: Llopis Albert, Carlos; Rubio Montoya, Francisco José; Valero Chuliá, Francisco José
Resumen: This study presents a methodology to tackle robot tasks in a cost-efficientway. It poses amulti-objective optimization
problemfor trajectory planning of robotic arms that an efficient algorithmwill solve. Themethod finds the
minimum time to perform robot tasks while considering the physical constraints of the real working problem
and the economic issues participating in the process. This process also considers robotic system dynamics and
the presence of obstacles to avoid collisions. It generates an entire set of equally optimal solutions for each process,
the Pareto-optimal frontiers. They provide information about the trade-offs between the different decision
variables of the multi-objective optimization problem. This procedure can help managers in decision-making
processes regarding performing tasks, items to be manufactured or robotic services performed to meet with
the current demand, and also, to define an efficient scheduling. It improves productivity and allows firms to
stay competitive in rapid changing markets.