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Developing Robot Autonomy via Invariant Representations

Developing Robot Autonomy via Invariant Representations
通过不变表示开发机器人自主性
批准号:
RGPIN-2016-04847
负责人:
Zhang, Hong
金额:
$3.35万
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:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31

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中文摘要
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英文摘要
People pay revisits to places encountered in the past seemingly oblivious of the time of the day, the weather conditions or even the season when the initial visits were made. They perform this task effortlessly mostly through the use of their sense of vision to recognize routes and landmarks and make navigational decisions. Can robots do the same? How does a robot process its visual sensory data and build a representation of the environment in such a way that enables it to recognize places that have been encountered in the past independently of the environmental conditions? These questions still challenge the robotics community today, and obstacles to robot autonomy. They are at the heart of this research proposal.
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Developing Robot Autonomy via Invariant Representations
  • 批准号:
    RGPIN-2016-04847
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $6.7万
  • 财政年份:
    2021
  • 负责人:
    Zhang, Hong
  • 依托单位:
Developing Robot Autonomy via Invariant Representations
  • 批准号:
    RGPIN-2016-04847
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.35万
  • 财政年份:
    2020
  • 负责人:
    Zhang, Hong
  • 依托单位:
Developing Robot Autonomy via Invariant Representations
  • 批准号:
    RGPIN-2016-04847
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.35万
  • 财政年份:
    2019
  • 负责人:
    Zhang, Hong
  • 依托单位:
Oilsand slurry image and video analysis
  • 批准号:
    492823-2015
  • 项目类别:
    Collaborative Research and Development Grants
  • 资助金额:
    $7.07万
  • 财政年份:
    2018
  • 负责人:
    Zhang, Hong
  • 依托单位:
海外基金