Energy Optimal Control of an Industrial Robot by using the Adjoint Method

  • Thomas Lauß (Speaker)

Activity: Talk or presentationOral presentation


The main goal of this contribution is to determine the excitation of an industrial robot, such that the energy consumption becomes a minimum during the manipulation of the tool center point (TCP) from a start position to a given end point within a predefined time. Such tasks can be restated as optimization problems where the functional to be minimized consists of the endpoint error and a measure for the energy. The gradient of this functional can be calculated by solving a linear differential equation, called the adjoint system. On the one hand the minimum of the cost functional can be achieved by the method of steepest descent where a proper step size has to be found or on the other hand by a Quasi-Newton algorithm where the Hessian can be appreciated. The theory is applied to a six-axis robot and the identification leads to a reduction of 47% of the signal energy.
Period13 May 2016
Event titleOAGM & ARW Joint Workshop on Computer Vision and Robotics
Event typeConference
LocationWels, AustriaShow on map