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contributor authorDerek L. Wight
contributor authorEric G. Kubica
contributor authorDavid W. Wang
date accessioned2017-05-09T00:27:13Z
date available2017-05-09T00:27:13Z
date copyrightJanuary, 2008
date issued2008
identifier issn1555-1415
identifier otherJCNDDM-25643#011009_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/137582
description abstractThe goal of most bipedal robotics research is to develop methods of achieving a dynamically balanced gait. Most current approaches focus on maintaining the balance of the system. This paper introduces a measure called the foot placement estimator (FPE) to restore balance to an unbalanced system. We begin by developing a theoretical proof to define when a biped is stable, as well as defining the region in which stability results are valid. This forms the basis for the derivation of the FPE. The results of the FPE are then extended to a complete gait cycle using the combination of a state machine and simple linear controllers. This control system is applied to a detailed and realistic simulation based on a physical robot currently under construction. Utilizing the FPE as a measure of balance allows us to create dynamically balanced gait cycles in the presence of external disturbances, including gait initiation and termination, without any precalculated trajectories.
publisherThe American Society of Mechanical Engineers (ASME)
titleIntroduction of the Foot Placement Estimator: A Dynamic Measure of Balance for Bipedal Robotics
typeJournal Paper
journal volume3
journal issue1
journal titleJournal of Computational and Nonlinear Dynamics
identifier doi10.1115/1.2815334
journal fristpage11009
identifier eissn1555-1423
keywordsForce
keywordsStability
keywordsFriction
keywordsMachinery
keywordsControl systems
keywordsControl equipment
keywordsMotion
keywordsRobots
keywordsSimulation
keywordsRobotics
keywordsCycles
keywordsSimulation results
keywordsEquations
keywordsConstruction
keywordsEquations of motion
keywordsInertia (Mechanics)
keywordsDynamics (Mechanics) AND Knee
treeJournal of Computational and Nonlinear Dynamics:;2008:;volume( 003 ):;issue: 001
contenttypeFulltext


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