RI: Small: From Impact to Impulsive Manipulation
RI: Small: From Impact to Impulsive Manipulation
批准号:
1421034
负责人:
Yan-Bin Jia
金额:
$49.99万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-07-15 至 2018-06-30
中文摘要
点击翻译按钮获取中文摘要
英文摘要
When people work, they often take advantage of impacts between objects, for example, a worker impacts a nail with a hammer to drive it in. These impacts generate what are known as "impulsive forces" to do work. People take advantage of smaller impulsive forces to complete many common daily tasks too; inserting a key into a key hole, opening a stuck window, and cracking an egg. While the impacts between a plate and a table is much lighter than that applied to a nail, it is nonetheless just as useful. Today's robots have not been designed to take advantage of impulsive forces to accomplish tasks. The PI conducts an investigation into several fundamental and experimental issues surrounding impulsive robotic manipulation and develops methods for their use in robot control. Project results are advancing the theory of multi-body impacts and widening the capabilities of robots. Direct applications of the results are leading to faster and more agile robots for civil and military services and improved efficiency of industrial processes.The technical goal of this project is to gain in-depth understanding about control of collision outcomes and, more importantly, integration of impact planning with motion planning in robot manipulation. The project consists of three phases. The first phase advances the Principal Investigator's recent work on compliant and multiple impacts to modeling of n-body simultaneous collisions, tackling issues that include state space condensation, impulse growth in high-dimensional space, sensitivity to physical parameters, and area and nonlinear contacts. In parallel with the analysis is the development of a graphical interface called MultiCollide for interactive collision simulation. The second phase investigates how a manipulator can impart via impact a desired motion to an object, solving an inverse impact problem that connects impact dynamics with trajectory planning and manipulator dynamics. The final phase focuses on two impulsive manipulation tasks that respectively address the following important issues: how to leverage contact compliance and geometry, and how to interleave impact planning with robot motion planning.
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EAGER: Dexterous Robotic Cutting
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批准号:1651792
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资助金额:$29.99万
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财政年份:2016
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依托单位:
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依托单位:
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依托单位:
CAREER: Shape Localization, Recognition, and Reconstruction through Touch Sensing
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批准号:0133681
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项目类别:Continuing Grant
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资助金额:$34.96万
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依托单位:
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