Paper Info
Title
Online Optimal Gait Generation For Bipedal Walking Robots Using Legendre Pseudospectral Optimization
Abstract
This paper presents an optimal gait synthesis method that exploits the full body dynamics of robots using the Hybrid Zero Dynamics (HZD) control framework and for the first time experimentally realizes online HZD gait generation for a planar underactuated robot. Hybrid zero dynamics is an established theoretical framework that formally enables stable control of dynamic locomotion by enforcing virtual constraints through feedback controllers. An essential part of successfully realizing dynamic walking with HZD framework is determining parameters of the virtual constraints that satisfy hybrid invariant condition via nonlinear constrained optimization. Due to the complexity of the full hybrid system model of the robot, these optimization problems often suffer from slow convergence and local minima. In this paper, we improve the reliability of the HZD gait optimization and significantly increase the convergence speed by taking advantage of the direct transcription formulation and the exponential convergence of the global orthogonal collocation (a.k.a. pseudospectral) method. As a result, generating HZD gaits online becomes feasible with an average computation time less than 0.5 seconds, as will be demonstrated experimentally on a bipedal robot.
Year
Venue
Field
2016
2016 IEEE 55TH CONFERENCE ON DECISION AND CONTROL (CDC)
Convergence (routing),Mathematical optimization,Orthogonal collocation,Control theory,Computer science,Robot kinematics,Maxima and minima,Control system,Robot,Optimization problem,Hybrid system
DocType
ISSN
Citations 
Conference
0743-1546
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Ayonga Hereid18012.25
Shishir Kolathaya2677.40
Aaron D. Ames31202136.68