Towards Human-like Machine Perception for Embodied AI

该项目旨在研究类人视觉感知，即人工智能机器可以像人类一样看到和理解世界。预期的输出将通过一组深度学习技术赋予人工智能机器以人为中心的视觉识别和注释高效学习的能力，以及通过强化学习方法（用于决策支持）积极收集视觉信息的能力。这一研究是创造能够在产业、教育、健康等领域为人类提供帮助的具身人工智能机器的基础。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。

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.