GOALI: Optimization-Based Human Motion Simulation Models for Computer-Aided Human-Centric Design
GOALI: Optimization-Based Human Motion Simulation Models for Computer-Aided Human-Centric Design
批准号:
0200143
负责人:
Xudong Zhang
金额:
$19.29万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2002
资助国家:
美国
项目状态:
已结题
起止时间:
2002-06-01 至 2006-05-31
中文摘要
GOALI学术联络机会(GOALI)研究项目旨在整合数字人体运动模拟的一系列基于优化的模型的开发和运动性能描述符的合成,以使开发的模型具有物理上的逼真性和计算效率。将建立三个新的模型,作为优化问题:(1)终点轨迹模型,(2)参数微分逆运动学模型,(3)参数正向动力学模型。这些模型将具有开放的结构,以结合运动性能描述符,这些运动性能描述符可以被制定为目标函数、约束或参数,然后被经验地综合、测试和确定。作为回报,确定或评估的描述符将允许模型通过有效的计算来呈现复杂的模拟运动。该项目将使用几种与计算机辅助工作场所或车辆设计和虚拟原型最相关的复杂人体运动的经验数据库。数字人体运动模拟是使能技术的组成部分,将深刻改变人类使用、操作、居住或维护的各种产品或系统的设计和原型制作过程。这些变化,包括在产品开发方面大幅降低成本、提高效率和提高质量(可用性、适用性和可制造性),将是美国经济活力及其全球竞争力的核心。拟议的研究确定并探索了各种优化技术的新颖、战略性应用的一个独特而重要的领域。成功的完成将带来新一代数字人体运动模拟模型,用于计算机辅助以人为中心的设计和人机系统工程,并将产生解决一些关于人类运动控制的最基本问题的结果。这个项目的教育成果将包括研究生班高级建模工具的新课程材料,以及生物力学和人体工程学中的运筹学研究问题的例子集合。
英文摘要
This Grant Opportunity for Academic Liaison with Industry (GOALI) research project seeks to integrate the development of a series of optimization-based models for digital human motion simulation and the synthesis of movement performance descriptors such that the developed models are physically realistic and computationally efficient. Three new models, formulated as optimization problems, will be developed: (1) an end-point trajectory model, (2) a parameterized differential inverse kinematics model, and (3) a parameterized forward dynamics model. These models will have open structures to incorporate movement performance descriptors that can be formulated as objective functions, constraints, or parameters, and then be empirically synthesized, tested, and determined. In return, the determined or evaluated descriptors will allow the models to render complex simulated motions via efficient computations. The project will employ empirical databases of several types of complex human movements most relevant to computer-aided workplace or vehicle design and virtual prototyping.Digital human motion simulation is an integral part of the enabling technology that will profoundly change the process of designing and prototyping a wide variety of products or systems that are used, operated, inhabited, or maintained by human beings. Such changes, including tremendous cost reduction, efficiency improvement, and quality (usability, serviceability, and manufacturability) enhancement in product development, will be central to the vitality of the US economy and its global competitiveness. The proposed research identifies and explores a unique and important area for novel, strategic application of various optimization techniques. A successful completion will lead to a new generation of digital human motion simulation models for computer-aided human-centric design and human-machine systems engineering, and will yield results addressing some of the most fundamental questions about human movement control. Educational outcomes from this project will include new course materials on advanced modeling tools for a graduate class, and a collection of examples of operations research problems in biomechanics and ergonomics.
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国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
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批准号:--
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项目类别:合作创新研究团队
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资助金额:--
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批准年份:2024
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负责人:姚韬
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依托单位:
供应链管理中的稳健型(Robust)策略分析和稳健型优化(Robust Optimization )方法研究
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批准号:70601028
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项目类别:青年科学基金项目
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资助金额:7.0万元
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批准年份:2006
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负责人:王明征
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依托单位: