Dataset Information

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]

PMID: 26251560

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Project description:It is estimated that seniors (?65 years old) account for >50% of acute inpatient hospital days and are presenting for surgical evaluation of acute illness in increasing numbers. Unfortunately, conventional acute care models rarely take into account needs of the elderly population. The failure to consider these special needs have resulted in poor outcomes, longer lengths of hospital stay and have likely increased the need for institutional care. Acute Care for the Elderly models on medical wards have demonstrated decreased cost, length of hospital stay, readmissions and improved cognition, function and patient/staff satisfaction. We hypothesize that specific Elder-friendly Approaches to the Surgical Environment (EASE) interventions will similarly improve health outcomes in a cost-effective manner.Prospective, before-after study with a concurrent control group. Four cohorts of 140 consecutively-screened older patients (?65 years old) will be enrolled (560 patients in total). The EASE interventions involves co-locating all older surgical patients on a single unit, involving an interdisciplinary care team (including a geriatric specialist) in the development of individual care plans, implementing evidence-informed elder-friendly practices, use of a reconditioning program, and optimizing discharge planning. Subjects will be followed via chart review for their hospital stay, and will then complete in-person or telephone interviews at 6 weeks and 6 months after discharge. Measured outcomes include clinical (postoperative major in-hospital complication or death [primary composite outcome]; death or readmission within 30-days of initial discharge; length of hospital stay), humanistic (quality of life; functional, cognitive, and nutritional status) and economic (health care resource utilization and costs) endpoints. Within-site mean change scores will be computed for the composite primary outcome and the overall covariate-adjusted between-site pre-post difference will be the dependent variable analyzed using generalized linear mixed model procedures including adjustment for clustering.Our findings will generate new knowledge on outcomes from acute surgical care in older patients and validate a novel elder-friendly surgical model including assessment of both clinical and economic benefits. If effective, we expect the EASE initiatives to be generalizable to other surgical centres.Clinicaltrials.govidentifier: NCT02233153.

Dataset Information

Optimizing Locomotion Controllers Using Biologically-Based Actuators and Objectives.

Publications

Optimizing Locomotion Controllers Using Biologically-Based Actuators and Objectives.

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