Preprint Article Version 1 This version is not peer-reviewed

Bio-Inspired Optimal Control Framework to Generate Walking Motions for the Humanoid Robot iCub Using Whole Body Models

Version 1 : Received: 14 December 2017 / Approved: 15 December 2017 / Online: 15 December 2017 (05:02:00 CET)

A peer-reviewed article of this Preprint also exists.

Hu, Y.; Mombaur, K. Bio-Inspired Optimal Control Framework to Generate Walking Motions for the Humanoid Robot iCub Using Whole Body Models. Appl. Sci. 2018, 8, 278. Hu, Y.; Mombaur, K. Bio-Inspired Optimal Control Framework to Generate Walking Motions for the Humanoid Robot iCub Using Whole Body Models. Appl. Sci. 2018, 8, 278.

Journal reference: Appl. Sci. 2018, 8, 278
DOI: 10.3390/app8020278

Abstract

Bipedal locomotion remains one of the major open challenges of humanoid robotics. The common approaches are based on simple reduced model dynamics to generate walking trajectories, often neglecting the whole-body dynamics of the robots. As motions in nature are often considered as optimal with respect to certain criteria, in this work we present an optimal control based approach that allows us to generate optimized walking motions using a precise whole-body dynamic model of the robot, in contrast with the common approaches. The optimal control problem is formulated to minimize a set of desired objective functions with respect to physical constraints of the robot and contact constraints of the walking phases. We apply the method with combinations of different objective criteria to the model of a reduced version of the iCub humanoid robot of 15 internal DOF. The obtained trajectories are executed on the real robot and we carry out a discussion on the differences between the outcomes of this approach with the classic approaches.

Subject Areas

humanoid robot; bipedal locomotion; optimal control; optimization

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