Collaborative Research: Decentralized Adaptive and Extremum Seeking Control of Robot Manipulators Using Image Processing
协作研究:使用图像处理的机器人机械手的分散自适应和极值搜索控制
基本信息
- 批准号:1823983
- 负责人:
- 金额:$ 17.95万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-09-15 至 2021-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Large networks of electromechanical agents, including complex robotic manipulators and self-driving cars, will soon become ubiquitous. Advanced control of such systems will increasingly benefit from inexpensive solid-state cameras but the resulting vision-based systems will be computation-intensive and introduce significant delays. Delays are known to cause instability in control systems, leading potentially to catastrophic failures in critical infrastructure. This project will develop methods to compensate and overcome such delays in networked control systems. The project will also contribute to the development of human resources in science and technology, continuing the efforts of the investigators who have supervised two dozen students from underrepresented groups on past projects, including women, Hispanics, and African-Americans. The methods developed in the project are tailored to the efficient use of image data to facilitate real-time multi-agent path planning and collision avoidance. This will be accomplished using a combination of geometric representations and feature-based learning. Orientations and 3-D positions will be characterized for HSV color-classified objects to be grasped, for obstacles, and for destinations where the objects are to be placed. These orientations and 3-D positions will be employed for real-time generation of collision-free paths to be used as desirable trajectories. Computationally efficient fully decentralized and energy-efficient extremum seeking control schemes will be formulated, leveraging inherently parallel and highly redundant processing architecture and operating in the presence of interconnected nonlinearities, saturations, and uncertainties. Experimental validation of the results, using a 28th-order Baxter robot, will be carried out to examine the robustness and to validate the computational-energy efficiency of the algorithms.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
大型机电试剂的大型网络,包括复杂的机器人操纵器和自动驾驶汽车,很快就会无处不在。这种系统的高级控制将越来越受益于廉价的固态摄像机,但是由此产生的基于视觉的系统将是计算密集型的,并引入了重大延迟。已知延迟会导致控制系统的不稳定,导致关键基础设施的灾难性失败。该项目将开发方法来补偿和克服网络控制系统中的此类延迟。该项目还将为科学技术领域的人力资源发展做出贡献,继续研究人员的努力,这些调查人员监督了来自代表性不足的团体的二十名学生在过去的项目中,包括妇女,西班牙裔和非裔美国人。项目中开发的方法是根据有效利用图像数据来量身定制的,以促进实时多代理路径计划和避免碰撞。这将使用几何表示和基于特征的学习的组合来实现。对于要抓住的HSV颜色分类对象,障碍物以及要放置对象的目的地,方向和3-D位置将被表征。这些方向和3-D位置将用于实时生成无碰撞路径,以用作理想的轨迹。将制定计算有效的完全分散和节能的极值寻求控制方案,利用固有的并行且高度冗余的处理体系结构,并在存在互连的非线性,饱和度和不确定性的情况下运行。使用28阶百特机器人对结果的实验验证将进行检查,以检查算法的鲁棒性并验证算法的计算能量效率。该奖项反映了NSF的法定任务,并认为通过使用该基金会的知识分子和更广泛的影响,可以通过评估来进行评估。
项目成果
期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Experimental Autonomous Deep Learning-Based 3D Path Planning for a 7-DOF Robot Manipulator
- DOI:10.1115/dscc2019-8951
- 发表时间:2019-10
- 期刊:
- 影响因子:0
- 作者:Alex Bertino;M. Bagheri;M. Krstić;Peiman Naseradinmousavi
- 通讯作者:Alex Bertino;M. Bagheri;M. Krstić;Peiman Naseradinmousavi
Adaptive control of a two-link robot using batch least-square identifier
- DOI:10.1109/jas.2020.1003459
- 发表时间:2021-01
- 期刊:
- 影响因子:0
- 作者:M. Bagheri;I. Karafyllis;Peiman Naseradinmousavi;M. Krstić
- 通讯作者:M. Bagheri;I. Karafyllis;Peiman Naseradinmousavi;M. Krstić
Feedback linearization based predictor for time delay control of a high-DOF robot manipulator
- DOI:10.1016/j.automatica.2019.06.037
- 发表时间:2019-10-01
- 期刊:
- 影响因子:6.4
- 作者:Bagheri, Mostafa;Naseradinmousavi, Peiman;Krstic, Miroslav
- 通讯作者:Krstic, Miroslav
Experimental and Analytical Delay-Adaptive Control of a 7-DOF Robot Manipulator
七自由度机器人机械臂的实验和分析延迟自适应控制
- DOI:10.23919/acc50511.2021.9483086
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Bertino, Alexander;Naseradinmousavi, Peiman;Krstic, Miroslav
- 通讯作者:Krstic, Miroslav
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Miroslav Krstic其他文献
ゴシッププロトコルに基づく非同期分散オブザーバの収束性解析
基于Gossip协议的异步分布式观察者收敛性分析
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
Daisuke Tsubakino;Tiago Roux Oliveira;Miroslav Krstic;田中 孝弥 - 通讯作者:
田中 孝弥
Lyme neuroborreliosis: Progressive cerebral vasculitis responsive to cyclophosphamide. A case report and review of the literature
- DOI:
10.1016/j.jstrokecerebrovasdis.2023.107220 - 发表时间:
2023-08-01 - 期刊:
- 影响因子:
- 作者:
Désirée Bajons;Roman Fröhlich;Waltraud Grandits;Miroslav Krstic;Helmut Rauschka;Regina Katzenschlager - 通讯作者:
Regina Katzenschlager
Adaptive finite time coordinated consensus for high-order multi-agent systems: Adjustable fraction power feedback approach
高阶多智能体系统的自适应有限时间协调共识:可调分数功率反馈方法
- DOI:
10.1016/j.ins.2016.08.054 - 发表时间:
2016-12 - 期刊:
- 影响因子:8.1
- 作者:
Wang Yujuan;Song Yongduan;Miroslav Krstic;Changyun Wen - 通讯作者:
Changyun Wen
Equilibrium Solutions of Multiperiod Mean-Variance Portfolio Selection
多周期均值-方差投资组合选择的均衡解
- DOI:
10.1109/tac.2019.2931463 - 发表时间:
2018-03 - 期刊:
- 影响因子:6.8
- 作者:
Yuan-Hua Ni;Xun Li;Ji-Feng Zhang;Miroslav Krstic - 通讯作者:
Miroslav Krstic
Extremum Seeking Control for Scalar Maps with Distributed Diffusion PDEs
具有分布式扩散偏微分方程的标量图的极值求控制
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Pedro Henrique Silva Coutinho;Tiago Roux Oliveira;Miroslav Krstic - 通讯作者:
Miroslav Krstic
Miroslav Krstic的其他文献
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{{ truncateString('Miroslav Krstic', 18)}}的其他基金
Prescribed-Time Stabilization and Robust Safety
规定时间稳定和鲁棒安全性
- 批准号:
2151525 - 财政年份:2022
- 资助金额:
$ 17.95万 - 项目类别:
Standard Grant
Collaborative Research: EPCN: Distributed Optimization-based Control of Large-Scale Nonlinear Systems with Uncertainties and Application to Robotic Networks
合作研究:EPCN:基于分布式优化的大型不确定性非线性系统控制及其在机器人网络中的应用
- 批准号:
2210315 - 财政年份:2022
- 资助金额:
$ 17.95万 - 项目类别:
Standard Grant
Smart and Connected Communities- Perspectives for Border Communities
智能互联社区——边境社区的视角
- 批准号:
1833482 - 财政年份:2018
- 资助金额:
$ 17.95万 - 项目类别:
Standard Grant
Collaborative Research: Sequential Predictors for Partial Differential Equation and Delay Systems: Designs, Theory, and Applications
合作研究:偏微分方程和延迟系统的序贯预测器:设计、理论和应用
- 批准号:
1711373 - 财政年份:2017
- 资助金额:
$ 17.95万 - 项目类别:
Standard Grant
Control of Screw Extruder Delay/Partial Differential Equation (PDE) Dynamics for 3D Printing
3D 打印螺杆挤出机延迟/偏微分方程 (PDE) 动力学控制
- 批准号:
1562366 - 财政年份:2016
- 资助金额:
$ 17.95万 - 项目类别:
Standard Grant
Collaborative Research: Designs and Theory of State-Constrained Nonlinear Feedback Controls for Delay and Partial Differential Equation Systems
合作研究:时滞和偏微分方程系统的状态约束非线性反馈控制的设计和理论
- 批准号:
1408376 - 财政年份:2014
- 资助金额:
$ 17.95万 - 项目类别:
Standard Grant
Control, Optimization, and Functional Analysis: Synergies and Perspectives; October 2-3, 2010; San Diego, CA
控制、优化和功能分析:协同作用和前景;
- 批准号:
1026117 - 财政年份:2010
- 资助金额:
$ 17.95万 - 项目类别:
Standard Grant
GOALI: PDE Techniques for Battery Management Systems
目标:电池管理系统的 PDE 技术
- 批准号:
1002299 - 财政年份:2010
- 资助金额:
$ 17.95万 - 项目类别:
Standard Grant
Horizons in Infinite Dimensional Deterministic and Stochastic Systems with Applications to Engineering; Winter 2009, Los Angeles, CA
无限维确定性和随机系统的视野及其工程应用;
- 批准号:
0838173 - 财政年份:2008
- 资助金额:
$ 17.95万 - 项目类别:
Standard Grant
Contaminant Tracking in GPS-Denied Environments
GPS 无法识别的环境中的污染物追踪
- 批准号:
0653834 - 财政年份:2007
- 资助金额:
$ 17.95万 - 项目类别:
Standard Grant
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