Detection and classification of plant pots in real time using artificial intelligence methods for mobile manipulators used in nursery farms and greenhouses

利用人工智能方法对苗圃和温室中使用的移动机械手进行花盆实时检测和分类

• 批准号: 538450-2019
• 负责人: Najjaran, Homayoun
• 金额: $ 1.82万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=680447
• 关键词: Detection; classification; plant; pots; real

Advanced Intelligent Systems (AIS), a Canadian company located in Burnaby, BC, Canada is a new, but growing, company conducting world-class R&D on Unmanned Systems with applications in farming and agriculture. At AIS the R&D activities are directed towards the use of unmanned systems in nursery farms and greenhouses for moving planted pots using a mobile manipulator designed and manufactured AIS to expand the use cases of the AIS proprietary platform. This research project focuses on the design and development of algorithmic procedures to enable the existing mobile manipulator of AIS called BigTop (i.e., a wheeled mobile base equipped with an articulated robotic arm on top) to identify, track, classify planted pots, pick up and deliver them to their desired locations using onboard sensors, namely cameras, IMUs, LiDAR, and wheel encoders, fully autonomously and without any human intervention. The applicant and his research team will provide the expertise required for i) computer vision methods to recognize and estimate the pose of planted pots for proper grasping, and ii) the simultaneous localization and mapping (SLAM) methods for autonomous operation of the mobile platform.

位于加拿大卑诗省本那比的一家加拿大公司Advanced Intellignent Systems（AIS）是一家新的但正在成长的公司，在无人体系统上进行世界一流的研发，并在农业和农业中应用。在AIS上，研发活动用于使用苗圃农场和温室中的无人系统使用，用于使用设计和制造AIS的移动操纵器来扩展AIS专有平台的用例，以移动种植锅。 This research project focuses on the design and development of algorithmic procedures to enable the existing mobile manipulator of AIS called BigTop (i.e., a wheeled mobile base equipped with an articulated robotic arm on top) to identify, track, classify planted pots, pick up and deliver them to their desired locations using onboard sensors, namely cameras, IMUs, LiDAR, and wheel encoders, fully autonomously and without any human 干涉。申请人及其研究团队将提供i）计算机视觉方法所需的专业知识，以识别和估计植物盆中的姿势适当抓握，ii）同时定位和映射（SLAM）方法（SLAM）用于移动平台的自动操作。