Intelligent Tactile-based Dexterous Robot Hand Control

智能触觉灵巧机器人手控制

基本信息

  • 批准号:
    RGPIN-2017-03799
  • 负责人:
  • 金额:
    $ 2.4万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Individual
  • 财政年份:
    2020
  • 资助国家:
    加拿大
  • 起止时间:
    2020-01-01 至 2021-12-31
  • 项目状态:
    已结题

项目摘要

The main objective of the proposed research is to develop novel real-time computational-intelligence tactile feedback-based control algorithms for a human-like multi-finger robot hand able to dexterously explore, grasp, and in-hand manipulate 3D objects. Dexterous object exploration, grasping and manipulation is a complex area of robotics in which multiple fingers cooperate to carry out the task. Controlling a dexterous robotic hand poses major design challenges for the tactile sensors that are the first line of contact, for processing the sensor data, detecting object geometry, slippage and contact pressure, and then for the tactile and kinaesthetic feedback-based coordinated control of all finger movements and applied forces. The short-term objectives are (1) development of new algorithms for the fusion of tactile- and kinaesthetic-sensor data to provide a coherent multisensory feedback for the real-time control of the dexterous robot hand, (2) development of new neuro-fuzzy reactive-behavior control algorithms for concurrent position & force control of hand fingers during object exploration, and (3) development of task-driven intelligent control algorithms for dexterous object grasping and in-hand manipulation The new intelligent tactile-based hand control techniques to be studied will have a significant impact on an emerging range of robotics applications requiring advanced dexterous object exploration, grasping, and manipulation capabilities such as: (i) autonomous or remotely controlled robotic handling of materials in hazardous environments, high risk war-zone and security operations, or difficult to reach undersea and outer space environments, (ii) tele-surgery and tele-medical diagnostic, (iii) a new generation of humanoid robots for eldercare assistance and social robotics.
本研究的主要目标是开发一种新的基于触觉反馈的实时计算智能控制算法,用于类人多指机器人手,能够灵巧地探索、抓取和在手机上操作3D物体。

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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Petriu, Emil其他文献

Modeling the speed-based vessel schedule recovery problem using evolutionary multiobjective optimization
  • DOI:
    10.1016/j.ins.2018.03.013
  • 发表时间:
    2018-06-01
  • 期刊:
  • 影响因子:
    8.1
  • 作者:
    Cheraghchi, Fatemeh;Abualhaol, Ibrahim;Petriu, Emil
  • 通讯作者:
    Petriu, Emil

Petriu, Emil的其他文献

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{{ truncateString('Petriu, Emil', 18)}}的其他基金

Intelligent Tactile-based Dexterous Robot Hand Control
智能触觉灵巧机器人手控制
  • 批准号:
    RGPIN-2017-03799
  • 财政年份:
    2021
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Discovery Grants Program - Individual
Intelligent Tactile-based Dexterous Robot Hand Control
智能触觉灵巧机器人手控制
  • 批准号:
    RGPIN-2017-03799
  • 财政年份:
    2019
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Discovery Grants Program - Individual
Intelligent Tactile-based Dexterous Robot Hand Control
智能触觉灵巧机器人手控制
  • 批准号:
    RGPIN-2017-03799
  • 财政年份:
    2018
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Discovery Grants Program - Individual
Big data analytics for the Maritime Internet of Things (IoT)
海事物联网 (IoT) 的大数据分析
  • 批准号:
    499024-2016
  • 财政年份:
    2017
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Collaborative Research and Development Grants
Intelligent Tactile-based Dexterous Robot Hand Control
智能触觉灵巧机器人手控制
  • 批准号:
    RGPIN-2017-03799
  • 财政年份:
    2017
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Discovery Grants Program - Individual
Big data analytics for the Maritime Internet of Things (IoT)
海事物联网 (IoT) 的大数据分析
  • 批准号:
    499024-2016
  • 财政年份:
    2016
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Collaborative Research and Development Grants
Haptic Object Recognition
触觉物体识别
  • 批准号:
    6726-2012
  • 财政年份:
    2016
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Discovery Grants Program - Individual
Haptic Object Recognition
触觉物体识别
  • 批准号:
    6726-2012
  • 财政年份:
    2015
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Discovery Grants Program - Individual
Real-time action recognition in embedded vision systems
嵌入式视觉系统中的实时动作识别
  • 批准号:
    478666-2015
  • 财政年份:
    2015
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Engage Grants Program
Multi-sensor monitoring systems for mission critical and territorial security applications
适用于关键任务和领土安全应用的多传感器监控系统
  • 批准号:
    479261-2015
  • 财政年份:
    2015
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Synergy Awards

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基于触觉视觉传感与控制策略的先进人工智能技术融合的以人为中心的智能机器人系统的研究开发
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