An Approach for Generating Families of Energetically Optimal Gaits from Passive Dynamic Walking Gaits
Nelson Rosa, Bassel Katamish, Maximilian Raff, C. David Remy
TL;DR
The paper addresses how to connect passive dynamic walking gaits to continuously parameterized families of energetically optimal gaits in impulsive biped models. It reformulates the parametric gait optimization as an implicit map whose roots are stationary solutions and uses numerical continuation to trace these solutions across operating points, seeded by passive gaits. A global-seed strategy yields continuous curves of gaits, demonstrated on a two-link compass-gait walker with hip actuation, thereby building libraries of gaits across slope and speed and revealing intersections with globally optimal passive solutions. This framework provides a principled way to explore the gait space, offering insights into the relationship between PW motions and actuated, energy-efficient gaits and enabling practical gait-library construction for robotic locomotion, with potential extensions to alternative actuation bases and inequality constraints.
Abstract
For a class of biped robots with impulsive dynamics and a non-empty set of passive gaits (unactuated, periodic motions of the biped model), we present a method for computing continuous families of locally optimal gaits with respect to a class of commonly used energetic cost functions (e.g., the integral of torque-squared). We compute these families using only the passive gaits of the biped, which are globally optimal gaits with respect to these cost functions. Our approach fills in an important gap in the literature when computing a library of locally optimal gaits, which often do not make use of these globally optimal solutions as seed values. We demonstrate our approach on a well-studied two-link biped model.
