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Dynamic Humanoid Locomotion: A Scalable Formulation for HZD Gait Optimization

Hereid, Ayonga and Hubicki, Christian M. and Cousineau, Eric A. and Ames, Aaron D. (2018) Dynamic Humanoid Locomotion: A Scalable Formulation for HZD Gait Optimization. IEEE Transactions on Robotics, 34 (2). pp. 370-387. ISSN 1552-3098. https://resolver.caltech.edu/CaltechAUTHORS:20180118-141115865

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Abstract

Hybrid zero dynamics (HZD) has emerged as a popular framework for dynamic walking but has significant implementation difficulties when applied to the high degrees of freedom humanoids. The primary impediment is the process of gait design—it is difficult for optimizers to converge on a viable set of virtual constraints defining a gait. This paper presents a methodology that allows for fast and reliable generation of dynamic robotic walking gaits through the HZD framework, even in the presence of underactuation. Specifically, we describe an optimization formulation that builds upon the novel combination of HZD and direct collocation methods. Furthermore, achieving a scalable implementation required developing a defect-variable substitution formulation to simplify expressions, which ultimately allows us to generate compact analytic Jacobians of the constraints. We experimentally validate our methodology on an underactuated humanoid, DURUS, a spring-legged machine designed to facilitate energy-economical walking. We show that the optimization approach, in concert with the HZD framework, yields dynamic and stable walking gaits in hardware with a total electrical cost of transport of 1.33.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1109/TRO.2017.2783371DOIArticle
https://ieeexplore.ieee.org/document/8260563PublisherArticle
ORCID:
AuthorORCID
Hereid, Ayonga0000-0002-4156-2013
Ames, Aaron D.0000-0003-0848-3177
Additional Information:© 2018 IEEE. Manuscript received January 15, 2017; revised September 6, 2017; accepted November 6, 2017. Date of publication January 17, 2018; date of current version April 12, 2018. This paper was recommended for publication by Associate Editor P.-B. Wieber and Editor A. Kheddar upon evaluation of the reviewers’ comments. This work supported by in part by DARPA under Grant D15AP00006 and in part by NSF Grant CPS-1239055 and Grant NRI-1526519.
Funders:
Funding AgencyGrant Number
Defense Advanced Research Projects Agency (DARPA)D15AP00006
NSFCPS-1239055
NSFNRI-1526519
Subject Keywords:Humanoid robots, hybrid zero dynamics, legged locomotion, motion planning
Issue or Number:2
Record Number:CaltechAUTHORS:20180118-141115865
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20180118-141115865
Official Citation:A. Hereid, C. M. Hubicki, E. A. Cousineau and A. D. Ames, "Dynamic Humanoid Locomotion: A Scalable Formulation for HZD Gait Optimization," in IEEE Transactions on Robotics, vol. 34, no. 2, pp. 370-387, April 2018. doi: 10.1109/TRO.2017.2783371. URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8260563&isnumber=8337802
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:84393
Collection:CaltechAUTHORS
Deposited By: Ruth Sustaita
Deposited On:18 Jan 2018 22:29
Last Modified:03 Oct 2019 19:18

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