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Development of high-fidelity 3D simulation framework for robotic vehicles

Development of high-fidelity 3D simulation framework for robotic vehicles
机器人车辆高保真3D仿真框架开发
批准号:
462602-2014
负责人:
Shan, Jinjun
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:
2014
资助国家:
加拿大
项目状态:
已结题
起止时间:
2014-01-01 至 2015-12-31

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中文摘要
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英文摘要
Since 2008, Ontario Drive & Gear (ODG) Limited has developed extreme-terrain capable rovers, primarily for use by the Canadian Space Agency and NASA. ODG has since developed a new line of rovers with a focus on terrestrial applications such as those within the military, academia, agriculture and mining sectors. ODG's robotic vehicles can withstand hostile environments such as the ones present on the Lunar/Martian surface. These robotic vehicle currently lacks a high-level software framework to integrate its advanced hardware platform with state-of-the-art guidance, control, and navigation techniques, and it also lacks an advanced high-fidelity 3D simulation framework to simulate the actual robotic vehicle in its typical environments. This research project seeks to design both the high-level software framework and the high-fidelity robotic simulation framework for ODG's robotic vehicles based on a novel software framework development technique. This will make ODG an international leader in this technological area, bring more business to the Canadian economy, and contribute innovative research to the academic community.
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Essential Technologies for Autonomous Systems: Theory, Verification, and Applications
  • 批准号:
    555847-2020
  • 项目类别:
    Alliance Grants
  • 资助金额:
    $2.45万
  • 财政年份:
    2021
  • 负责人:
    Shan, Jinjun
  • 依托单位:
Essential Technologies for Autonomous Systems: Theory, Verification, and Applications
  • 批准号:
    555847-2020
  • 项目类别:
    Alliance Grants
  • 资助金额:
    $2.45万
  • 财政年份:
    2020
  • 负责人:
    Shan, Jinjun
  • 依托单位:
Dynamics modeling and cooperative control of multiple piezoelectric actuators for high-precision applications
  • 批准号:
    RGPIN-2017-05708
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.7万
  • 财政年份:
    2019
  • 负责人:
    Shan, Jinjun
  • 依托单位:
High-Precision Navigation of UAVs using SLAM and Reinforcement Learning
  • 批准号:
    526376-2018
  • 项目类别:
    Engage Grants Program
  • 资助金额:
    $1.82万
  • 财政年份:
    2018
  • 负责人:
    Shan, Jinjun
  • 依托单位:
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