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
该学术联络与工业(GOALI)研究项目旨在整合一系列基于优化的模型的开发,用于数字人体运动模拟和运动性能描述符的合成,从而使开发的模型具有物理真实性和计算效率。将开发三个新模型,以优化问题的形式表述:(1)终点轨迹模型,(2)参数化微分逆运动学模型,(3)参数化正动力学模型。这些模型将具有开放的结构,以纳入运动性能描述符,这些描述符可以表述为目标函数、约束或参数,然后进行经验合成、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。该项目将采用与计算机辅助工作场所或车辆设计和虚拟原型设计最相关的几种复杂人类运动的经验数据库。数字人体运动模拟是使能技术的一个组成部分,它将深刻地改变人类使用、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,包括巨大的成本降低、效率提高和产品开发质量(可用性、可服务性和可制造性)的提高,将是美国经济活力及其全球竞争力的核心。提出的研究确定并探索了一个独特而重要的领域,为各种优化技术的新颖,战略应用。一个成功的完成将导致新一代的数字人体运动仿真模型的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体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为研究生班提供的关于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运筹学问题的示例集。
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: