Industrial robots generally need high energy consumption in the process of operation. The improved dragonfly algorithm that based on quantum behavior and differential evolution can optimize the obstacle avoidance trajectory of industrial robots under the constraints of energy consumption. Based on the quintic B-spline curve matrix and the dynamic model of industrial robot, the energy consumption constraint model is established. In the simulation experiment, taking the energy consumption constraint model of industrial robot trajectory solved by the improved dragonfly algorithm as the fitness evaluation function, comparing the optimization results of the improved dragonfly algorithm with the original dragonfly algorithm and the elite opposition learning and exponential function steps-based dragonfly algorithm, the results show that the improved dragonfly algorithm has better performance.

%U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2005-0026