The Geometry of Optimal Gaits for Inertia-dominated Kinematic Systems
Ross L. Hatton, Zachary Brock, Shuoqi Chen, Howie Choset, Hossein, Faraji, Ruijie Fu, Nathan Justus, and Suresh Ramasamy

TL;DR
This paper explores the geometric principles underlying optimal shape-changing gaits in inertia-dominated systems, linking constraint curvature to effort costs and deriving optimal cycle geometries.
Contribution
It introduces effort-based cost functions and shows how they relate to optimal gait geometries in inertia-dominated systems, extending previous geometric analyses.
Findings
Effort costs can be transformed into time-to-execute costs under fixed average effort.
Optimal gaits have geometries resembling elastic hoops distended by internal pressures.
The interaction between constraint curvature and effort costs determines optimal cycle shapes.
Abstract
Isolated mechanical systems -- e.g., those floating in space, in free-fall, or on a frictionless surface -- are able to achieve net rotation by cyclically changing their shape, even if they have no net angular momentum. Similarly, swimmers immersed in "perfect fluids" are able to use cyclic shape changes to both translate and rotate even if the swimmer-fluid system has no net linear or angular momentum. Finally, systems fully constrained by direct nonholonomic constraints (e.g., passive wheels) can push against these constraints to move through the world. Previous work has demonstrated that the net displacement induced by these shape changes corresponds to the amount of *constraint curvature* that the gaits enclose. To properly assess or optimize the utility of a gait, however, we must also consider the time or resources required to execute it: A gait that produces a small…
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Taxonomy
TopicsRobotic Locomotion and Control · Control and Dynamics of Mobile Robots · Experimental and Theoretical Physics Studies
