Control design and integration into an industrial robotic simulation system with practical implementation

控制设计并集成到工业机器人仿真系统中并进行实际实施

基本信息

  • 批准号:
    485181-2015
  • 负责人:
  • 金额:
    $ 1.82万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Engage Grants Program
  • 财政年份:
    2015
  • 资助国家:
    加拿大
  • 起止时间:
    2015-01-01 至 2016-12-31
  • 项目状态:
    已结题

项目摘要

FANUC is a world leading original equipment manufacturer of the most complete range of robotic systems. Their products have applications in sectors including automotive, aerospace, consumer products, food and beverage, pharmaceuticals, medical, mining and other industries. The use of robotics devices for human assistive care, as well as the development of exoskeletal robots for amputees and persons with low or zero mobility is growing in Canada and worldwide. These applications require enhanced control for precise motion of the robot joints in order to stable and safe movement in complex scenarios. Having more precise motion will also significantly benefit the manufacturing sector in Canada and worldwide. FANUC works collaboratively with academic researchers, providing a synergy that the company is keen on fostering in Atlantic Canada. The organization discussed with Dr. Dubay recently, noting that he and his team conduct research on developing advanced control solution for complex processes. The company has a complete software system RoboGuide (RG) that is expected to exactly simulate the dynamic behavior or motion of its robots to its end-users. FANUC would like to improve the trajectory tracking capability of its physical robots by working with Dr. Dubay and his team to develop tracking controllers integrated into RG and a small-scale robot. Improving the motion within RG translates to better motion control of its physical robotic systems, which is key to its global customers on diverse applications. This project has the potential to place Canada and UNB as a leader in robotics research for ultra-fast robots with tracking of complex trajectories much better than current systems. This would potentially result in providing more accurate robots to global markets, which would eventually translate to higher productivity and operational efficiencies in manufacturing industries and other sectors, resulting in significant savings. FANUC recognizes that Dr. Dubay and his team have solid expertise and laboratory facilities in advanced controls, making his team well poised for this research project.
发那科是世界领先的原始设备制造商,提供最齐全的机器人系统。

项目成果

期刊论文数量(0)
专著数量(0)
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会议论文数量(0)
专利数量(0)

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Dubay, Rickey其他文献

Identification and adaptive neural network control of a DC motor system with dead-zone characteristics
  • DOI:
    10.1016/j.isatra.2011.06.005
  • 发表时间:
    2011-10-01
  • 期刊:
  • 影响因子:
    7.3
  • 作者:
    Peng, Jinzhu;Dubay, Rickey
  • 通讯作者:
    Dubay, Rickey
A Wiener Neural Network-Based Identification and Adaptive Generalized Predictive Control for Nonlinear SISO Systems
Adaptive composite neural network disturbance observer-based dynamic surface control for electrically driven robotic manipulators
基于自适应复合神经网络扰动观测器的电动机器人操纵器动态表面控制
  • DOI:
    10.1007/s00521-020-05391-8
  • 发表时间:
    2020-10-06
  • 期刊:
  • 影响因子:
    6
  • 作者:
    Peng, Jinzhu;Ding, Shuai;Dubay, Rickey
  • 通讯作者:
    Dubay, Rickey
Observer-based adaptive neural control of robotic systems with prescribed performance
具有规定性能的机器人系统的基于观察者的自适应神经控制
  • DOI:
    10.1016/j.asoc.2021.108142
  • 发表时间:
    2022-01-01
  • 期刊:
  • 影响因子:
    8.7
  • 作者:
    Peng, Jinzhu;Dubay, Rickey;Ding, Shuai
  • 通讯作者:
    Ding, Shuai
A principal component analysis model-based predictive controller for controlling part warpage in plastic injection molding
  • DOI:
    10.1016/j.eswa.2014.11.030
  • 发表时间:
    2015-04-15
  • 期刊:
  • 影响因子:
    8.5
  • 作者:
    Zhang, Songtao;Dubay, Rickey;Charest, Meaghan
  • 通讯作者:
    Charest, Meaghan

Dubay, Rickey的其他文献

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{{ truncateString('Dubay, Rickey', 18)}}的其他基金

A learning force control strategy for robotic gripping and a mobile robot inspector system for intelligent factories
机器人抓取的学习力控制策略和智能工厂移动机器人巡检系统
  • 批准号:
    RGPIN-2020-04119
  • 财政年份:
    2022
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
A learning force control strategy for robotic gripping and a mobile robot inspector system for intelligent factories
机器人抓取的学习力控制策略和智能工厂移动机器人巡检系统
  • 批准号:
    RGPIN-2020-04119
  • 财政年份:
    2021
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Automated detection and monitoring of health risks, such as COVID-19
自动检测和监控健康风险,例如 COVID-19
  • 批准号:
    555209-2020
  • 财政年份:
    2020
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Alliance Grants
A learning force control strategy for robotic gripping and a mobile robot inspector system for intelligent factories
机器人抓取的学习力控制策略和智能工厂移动机器人巡检系统
  • 批准号:
    RGPIN-2020-04119
  • 财政年份:
    2020
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Industrial internet model based predictive control for applications using thermal imaging
基于工业互联网模型的热成像应用预测控制
  • 批准号:
    RGPIN-2015-05798
  • 财政年份:
    2019
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Industrial internet model based predictive control for applications using thermal imaging
基于工业互联网模型的热成像应用预测控制
  • 批准号:
    RGPIN-2015-05798
  • 财政年份:
    2018
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Industrial internet model based predictive control for applications using thermal imaging
基于工业互联网模型的热成像应用预测控制
  • 批准号:
    RGPIN-2015-05798
  • 财政年份:
    2017
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Industrial internet model based predictive control for applications using thermal imaging
基于工业互联网模型的热成像应用预测控制
  • 批准号:
    RGPIN-2015-05798
  • 财政年份:
    2016
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Using image feedback for robotic control
使用图像反馈进行机器人控制
  • 批准号:
    499890-2016
  • 财政年份:
    2016
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Connect Grants Level 1
3-D sensory feedback for robotic control
用于机器人控制的 3D 感官反馈
  • 批准号:
    503130-2016
  • 财政年份:
    2016
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Connect Grants Level 1

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