课题基金 / 基金详情

Development of a Position and Control System for an Omnidirectional Platform Using Vision, LIDAR and Line Following Technologies

Development of a Position and Control System for an Omnidirectional Platform Using Vision, LIDAR and Line Following Technologies
使用视觉、激光雷达和巡线技术开发全向平台的位置和控制系统
批准号:
532396-2018
负责人:
Michaud, François
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:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

项目摘要

项目成果

Michaud, François的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
Over the last few years, assembly lines have started to innovate to support flexible and reconfigurable**configurations and processes. One of such innovations is the use of mobile platforms to move very large and**heavy payloads. Omnidirectional motion (the ability to move in all direction without changing orientation)**becomes greatly beneficial in such context, facilitating movement in cluttered environments and for positioning**itself next to a processing station a table or a counter. One challenge is to design a platform that provides such**capabilities while still have low height, and Inogec inc. has come up with a new omnidirectional mechanism**for doing so. What is missing is to make the platform move autonomously in industrial settings. Having**developed and program omnidirectional autonomous platforms, IntRoLab, the Intelligent, Interactive,**Integrated and Interdisciplinary Robot Lab Systems of the Université de Sherbrooke, have the expertise to**design and implement the required navigation capabilities. The plan is to integrate vision and LIDAR**proximity detection and mapping capabilities with line-following on Inogec omnidirectional platform, and**demonstrate its navigation capabilities for moving in various conditions. The project involves A) conducting a**survey of industrial-grade sensing and processing systems, allowing to implement customized software on the**platform, B) integrating the sensing and processing systems on the platform, C) implementing simulatenous**localization and mapping (SLAM) using IntRoLab's RTAB-Map library, and D) demonstrating path planning**capabilities of the overall system. The objective is to have a platform move from one point to another and**obstacle avoidance. This will result in a first autonomous omnidirectional transport platform for high payload**and low profile to be used in industrial settings. It will constitute a great experimental and developmental base**on which to add more intelligent capabilities, from advanced teleoperation to traffic management of a fleet of**platforms.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Robot Learning and Discovering Through Memorizing Visual and Auditory Interactions
  • 批准号:
    RGPIN-2022-04036
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.5万
  • 财政年份:
    2022
  • 负责人:
    Michaud, François
  • 依托单位:
Enabling Technologies for Collaborative Robotics in Manufacturing (CoRoM)
  • 批准号:
    498011-2017
  • 项目类别:
    Collaborative Research and Training Experience
  • 资助金额:
    $21.86万
  • 财政年份:
    2021
  • 负责人:
    Michaud, François
  • 依托单位:
Learning, Memorization and Cognition in an Autonomous Robot Control Architecture
  • 批准号:
    RGPIN-2016-05096
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.99万
  • 财政年份:
    2021
  • 负责人:
    Michaud, François
  • 依托单位:
Learning, Memorization and Cognition in an Autonomous Robot Control Architecture
  • 批准号:
    RGPIN-2016-05096
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.99万
  • 财政年份:
    2020
  • 负责人:
    Michaud, François
  • 依托单位:
海外基金