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Optimizing Locomotion Controllers Using Biologically-Based Actuators and Objectives.


ABSTRACT: We present a technique for automatically synthesizing walking and running controllers for physically-simulated 3D humanoid characters. The sagittal hip, knee, and ankle degrees-of-freedom are actuated using a set of eight Hill-type musculotendon models in each leg, with biologically-motivated control laws. The parameters of these control laws are set by an optimization procedure that satisfies a number of locomotion task terms while minimizing a biological model of metabolic energy expenditure. We show that the use of biologically-based actuators and objectives measurably increases the realism of gaits generated by locomotion controllers that operate without the use of motion capture data, and that metabolic energy expenditure provides a simple and unifying measurement of effort that can be used for both walking and running control optimization.

SUBMITTER: Wang JM 

PROVIDER: S-EPMC4523558 | biostudies-literature | 2012 Jul

REPOSITORIES: biostudies-literature

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Optimizing Locomotion Controllers Using Biologically-Based Actuators and Objectives.

Wang Jack M JM   Hamner Samuel R SR   Delp Scott L SL   Koltun Vladlen V  

ACM transactions on graphics 20120701 4


We present a technique for automatically synthesizing walking and running controllers for physically-simulated 3D humanoid characters. The sagittal hip, knee, and ankle degrees-of-freedom are actuated using a set of eight Hill-type musculotendon models in each leg, with biologically-motivated control laws. The parameters of these control laws are set by an optimization procedure that satisfies a number of locomotion task terms while minimizing a biological model of metabolic energy expenditure.  ...[more]

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