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Visual methods for advanced automation of underwater manipulation

Visual methods for advanced automation of underwater manipulation
水下操纵高级自动化的视觉方法
批准号:
LP220100527
负责人:
Prof Stefan Williams
金额:
$29.39万
依托单位:
依托单位国家:
澳大利亚
项目类别:
Linkage Projects
财政年份:
2023
资助国家:
澳大利亚
项目状态:
未结题
起止时间:
2023-07-01 至 2026-06-30

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中文摘要
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英文摘要
This project will increase the autonomy of underwater robotic systems engaged in intervention and inspection tasks. Such activities are essential for the operation of subsea robotic systems used in offshore industries, scientific exploration and defence. Our approach will improve perception and situational awareness through the principled fusion of multiple navigation and camera sensors. We will use this improved scene understanding to effectively plan the motion of vehicles and manipulators through larger and more complex workspaces, enabling semi-supervised and autonomous task execution. Our project will demonstrate these capabilities in real-world deployments relevant to industry and marine science.
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Self-supervised feature learning for rapid processing of marine imagery
  • 批准号:
    LP220200949
  • 项目类别:
    Linkage Projects
  • 资助金额:
    $33.33万
  • 财政年份:
    2023
  • 负责人:
    Prof Stefan Williams
  • 依托单位:
Automated benthic understanding with multimodal observations
  • 批准号:
    DP190103914
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $29.52万
  • 财政年份:
    2019
  • 负责人:
    Prof Stefan Williams
  • 依托单位:
Supervised autonomy for AUVs using limited bandwidth communication channels
  • 批准号:
    LP150101135
  • 项目类别:
    Linkage Projects
  • 资助金额:
    $21.89万
  • 财政年份:
    2016
  • 负责人:
    Prof Stefan Williams
  • 依托单位:
A Photometric Imaging Model for Mobile Underwater Camera Design
  • 批准号:
    DP150104440
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $22.33万
  • 财政年份:
    2015
  • 负责人:
    Prof Stefan Williams
  • 依托单位:
国内基金
海外基金
复杂图像处理中的自由非连续问题及其水平集方法研究
  • 批准号:
    60872130
  • 项目类别:
    面上项目
  • 资助金额:
    28.0万元
  • 批准年份:
    2008
  • 负责人:
    刘国才
  • 依托单位:
Computational Methods for Analyzing Toponome Data