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Simultaneous optimization of gait and design parameters for bipedal robots

Römer, Ulrich J. ORCID iD icon 1; Kuhs, Cornelius 2; Krause, Mathias J. 3; Fidlin, Alexander 1
1 Institut für Technische Mechanik (ITM), Karlsruher Institut für Technologie (KIT)
2 Karlsruher Institut für Technologie (KIT)
3 Institut für Angewandte und Numerische Mathematik (IANM), Karlsruher Institut für Technologie (KIT)


A walking bipedal robot’s energy efficiency depends on its gait as well as its design, whereas design changes affect the optimal gaits. We propose a method to take these interdependencies into account via simultaneous optimization of gait as well as design parameters. The method is applied to a planar robot with hybrid zero dynamics control and a torsion spring between its thighs. Periodic gaits are simulated by means of the hybrid zero dynamics. The implementation of the simultaneous optimization of gait parameters and spring stiffness via sequential quadratic programming is presented. Subsequently, an error analysis is performed to gain good convergence and short computation times of the optimization. The evaluation of gradients is identified as crucial for the algorithm’s convergence and therefore performed via complex step derivative approximations. The resulting implementation exhibits good convergence behavior and is provided as supplement to this paper. At 2.3 m/s, the simultaneous optimization results in savings in energy expenditure of up to 55%. A consecutive optimization of first gait and then stiffness yields only 11%, demonstrating the advantage of the presented method.

Postprint §
DOI: 10.5445/IR/1000052176
Veröffentlicht am 09.03.2022
DOI: 10.1109/ICRA.2016.7487271
Zitationen: 6
Zitationen: 5
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Technische Mechanik (ITM)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2016
Sprache Englisch
Identifikator ISBN: 978-1-4673-8026-3
KITopen-ID: 1000052176
Erschienen in Proceedings of the 2016 IEEE International Conference on Robotics and Automation (ICRA), Stockholm, Sweden 16-21 May 2016
Verlag Institute of Electrical and Electronics Engineers (IEEE)
Seiten 1374-1381
Externe Relationen Forschungsdaten/Software
Nachgewiesen in Scopus
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