A variational approach to geometric mechanics for undulating robotic locomotion
Sean Even, Patrick S. Martinez, Cora Keogh, Oliver Gross, Yasemin, Ozkan-Aydin, and Peter Schr\"oder

TL;DR
This paper introduces a variational geometric mechanics framework for modeling undulating robotic locomotion, demonstrating good simulation-experiment agreement using a dissipation metric approximated by resistive force theory.
Contribution
It presents a novel variational integrator approach that simplifies modeling undulating robots using a dissipation metric, bridging theory and experiments.
Findings
Simulations align well with experimental data on average.
The approach requires only the dissipation metric, easily approximated.
Good agreement achieved despite model simplifications.
Abstract
Limbless organisms of all sizes use undulating patterns of self-deformation to locomote. Geometric mechanics, which maps deformations to motions, provides a powerful framework to formalize and investigate the theoretical properties and limitations of such modes of locomotion. However, the inherent level of abstraction poses a challenge when bridging the gap between theory or simulations and laboratory experiments. We investigate the challenges of modeling motion trajectories of an undulating robotic locomotor by comparing experiments and simulations performed with a variational integrator. Despite the extensive simplifications that the model based on a geometric variation principle entails, the simulations show good agreement on average. Notably, our approach merely requires the knowledge of the \emph{dissipation metric} -- a Riemannian metric on the configuration space, which can in…
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Taxonomy
TopicsRobotic Mechanisms and Dynamics · Robotic Locomotion and Control · Dynamics and Control of Mechanical Systems
