Towards Human-like Machine Perception for Embodied AI

实现人工智能的类人机器感知

• 批准号: DE220101390
• 负责人: Dr Wenguan Wang
• 金额: $ 5.04万
• 依托单位: University of Technology Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Early Career Researcher Award
• 财政年份: 2022
• 资助国家: 澳大利亚
• 起止时间: 2022-08-15 至 2023-03-02
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE220101390
• 关键词: Towards; Human; like; Machine; Perception

This project aims to investigate human-like visual perception, whereby AI machines can see and interpret the world like a human. The expected outputs will empower AI machines with the abilities of human-centered visual recognition and annotation-efficient learning through a set of deep learning techniques, and the ability to actively gather visual information through a reinforcement learning methodology (for decision support). This research is fundamental to the creation of embodied AI machines, which are expected to provide assistance to humans in industry, education and health. It thus will indicate immediate applications embracing autonomous vehicles and domestic robotics, providing scientific, social and economic benefits for Australia.

该项目旨在研究类人视觉感知，使人工智能机器能够像人类一样观察和解释世界。预期的输出将赋予人工智能机器通过一系列深度学习技术以人为中心的视觉识别和高效注释学习的能力，以及通过强化学习方法主动收集视觉信息的能力（用于决策支持）。这项研究对于创建实体人工智能机器至关重要，预计它们将为人类在工业、教育和健康领域提供帮助。因此，它将表明自动驾驶汽车和家用机器人的直接应用，为澳大利亚提供科学、社会和经济效益。