Collaborative Research: A Complementarity-Free Contact Model for Robotics Applications

协作研究:机器人应用的无互补接触模型

基本信息

  • 批准号:
    1100532
  • 负责人:
  • 金额:
    $ 12.1万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2011
  • 资助国家:
    美国
  • 起止时间:
    2011-09-01 至 2015-08-31
  • 项目状态:
    已结题

项目摘要

The main goal in this collaborative research project is to advance the state of the art in realistic robot simulation by developing reasonably accurate contact models for rigid body dynamics that are both robustly and efficiently solvable. Since the times of Newton and Leibniz, the modeling of rigid body dynamics has been a tremendous success story. However, when rigid bodies come into contact and when that contact includes Coulomb friction, standard force-acceleration models sometimes fail. In such cases, a smooth solution is theoretically not even possible. A set of contact models that address this problem has been developed, derived from the well-established Signorini-Fichera (S-F) complementarity conditions. However, there is some evidence that these conditions are not accurate for impacting (rather than smoothly contacting) rigid bodies. This project will investigate situations in which the complementarity conditions are called into question, and will develop a new approach to address three critical shortcomings, present in varying degrees in state of the art contact models: (i.) their exponential worst-case solution times; (ii.) their inability to find solutions even though one exists; (iii.) their numerical brittleness. This project will investigate and evaluate new contact models that, by virtue of eliminating complementarity conditions, may not suffer from these shortcomings; in tandem, the project will use elastodynamic finite element analysis and physical experimentation in order to evaluate model accuracy for impacting rigid bodies.This project will impact a broad range of technologies, including aerospace, manufacturing, and civil engineering. In the near term, the project will enable the simulation of complex robot environments that help roboticists fine-tune both mechanical design and control algorithms. The computational models developed will be made public via the open-source Moby dynamics library. Additionally, participation in STEM is broadened through mentoring of students.
在这个合作研究项目的主要目标是通过开发合理准确的接触模型,既鲁棒性和有效地解决了刚体动力学,以推进在现实机器人仿真的艺术状态。 自牛顿和莱布尼茨时代以来,刚体动力学的建模一直是一个巨大的成功故事。 然而,当刚体接触时,当接触包括库仑摩擦时,标准的力-加速度模型有时会失效。 在这种情况下,理论上甚至不可能有平滑的解决方案。 一组接触模型,解决这个问题已经开发出来,来自完善的Signorini-Fichera(S-F)互补条件。 然而,有一些证据表明,这些条件对于撞击(而不是平滑接触)刚性物体来说并不准确。 该项目将调查互补条件受到质疑的情况,并将开发一种新的方法来解决三个关键缺陷,这些缺陷在不同程度上存在于最先进的接触模型中:(i)他们的指数最坏情况的解决方案时间;(ii.)(三)不符合规定的;(四)不符合规定的;数字的脆弱性。该项目将研究和评估新的接触模型,由于消除了互补条件,这些模型可能不会存在这些缺点;同时,该项目将使用弹性动力有限元分析和物理实验来评估模型对刚性体的影响精度。该项目将影响广泛的技术,包括航空航天、制造业和土木工程。在短期内,该项目将能够模拟复杂的机器人环境,帮助机器人专家微调机械设计和控制算法。 开发的计算模型将通过开源Moby动力学库公开。此外,通过对学生的指导,扩大了对STEM的参与。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Evan Drumwright其他文献

Towards single-arm reaching for humanoids in dynamic environments
在动态环境中单臂接触人形机器人
The task matrix: a robot-independent framework for programming humanoids
任务矩阵:一个独立于机器人的人形编程框架
  • DOI:
  • 发表时间:
    2007
  • 期刊:
  • 影响因子:
    0
  • 作者:
    M. Matarić;Evan Drumwright
  • 通讯作者:
    Evan Drumwright
Collision-Free Humanoid Reaching: Past, Present, and Future
无碰撞人形机器人到达:过去、现在和未来
  • DOI:
    10.5772/4868
  • 发表时间:
    2007
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Evan Drumwright;M. Matarić
  • 通讯作者:
    M. Matarić
Extensive analysis of Linear Complementarity Problem (LCP) solver performance on randomly generated rigid body contact problems
广泛分析线性互补问题 (LCP) 求解器在随机生成的刚体接触问题上的性能
Empirical evaluation of common contact models for planar impact
平面冲击常见接触模型的实证评估

Evan Drumwright的其他文献

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{{ truncateString('Evan Drumwright', 18)}}的其他基金

SBIR Phase II: Automated Perception for Robotic Chopsticks Manipulating Small and Large Objects in Constrained Spaces
SBIR 第二阶段:机器人筷子在受限空间中操纵小型和大型物体的自动感知
  • 批准号:
    2321919
  • 财政年份:
    2023
  • 资助金额:
    $ 12.1万
  • 项目类别:
    Cooperative Agreement
SBIR Phase I: Automated Perception for Robotic Chopsticks Manipulating Small and Large Objects in Constrained Spaces
SBIR 第一阶段:机器人筷子在受限空间中操纵小型和大型物体的自动感知
  • 批准号:
    2051644
  • 财政年份:
    2021
  • 资助金额:
    $ 12.1万
  • 项目类别:
    Standard Grant

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