Advanced three-dimensional Computer Vision Algorithms for 'Find and Grasp' Future Robots

用于“发现并掌握”未来机器人的先进三维计算机视觉算法

• 批准号: DP150100294
• 负责人: Prof Dr Mohammed Bennamoun
• 金额: $ 38.92万
• 依托单位: The University of Western Australia
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2015
• 资助国家: 澳大利亚
• 起止时间: 2015-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP150100294
• 关键词: Advanced; three; dimensional; Computer; Vision

This project addresses crucial limitations of existing vision systems for the robot grasping of irregular objects in messy living environments. This project aims to undertake fundamental research into novel three-dimensional vision algorithms, exploiting multiple modalities (two-dimensional+three-dimensional+video) for scene labelling, object classification, scene segmentation and grasp synthesis to enable future robots to operate in unstructured environments with highly occluded and cluttered objects. It is expected to significantly advance research and to have broad applications, including home robotics to improve the quality of life of elders and people with special needs. These algorithms may also be used in security (explosive manipulation) and agriculture (field crop harvesting).

该项目解决了机器人在杂乱的生活环境中抓取不规则物体的现有视觉系统的严重局限性。该项目旨在开展新型三维视觉算法的基础研究，利用多种模式(二维+三维+视频)进行场景标记、对象分类、场景分割和抓取合成，使未来的机器人能够在具有高度遮挡和杂乱对象的非结构化环境中操作。预计它将显著推进研究并具有广泛的应用，包括家庭机器人，以提高老年人和有特殊需求的人的生活质量。这些算法还可用于安全(爆炸操纵)和农业(大田作物收割)。