The use of Artificial Intelligence and Robotics in Live Creative Installations
The use of Artificial Intelligence and Robotics in Live Creative Installations
批准号:
2747984
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --
中文摘要
该博士项目与诺丁汉艺术公司虚构世界制造者(MoIW)合作,将研究,开发和实施(在真实观众的现场环境中)自适应机器人行为,这些行为可以响应不断变化的观众状态,例如兴奋,无聊和注意力,使用计算机视觉(CV)和人工智能(AI)方法,以增强和丰富观众体验。个性化机器人系统的研究对当今世界非常重要,物联网(IoT)设备在我们的家庭中很常见,人工智能机器人不仅在工业应用中越来越多,而且在日常消费产品中也越来越多。为了能够生产出更高质量、更丰富社会生活、更值得信赖的系统,让所有社会成员都能访问和接受,我们必须更好地理解机器人的控制和决策机制,以及帮助定义它们的伦理和道德结构。该项目的主要目标之一是开发计算机传感解决方案,以评估人类的行为和情感,并研究人工智能机器人系统如何感知、互动和回应观众,以及如何使观众体验受益或降低体验。与人类行为分析直接相关的一个关键研究领域是机器人系统中的上下文感知。使系统能够检测人类的行为或情感,并理解为什么人类会表现出这些行为或情感,这是提高社交机器人和人机关系自主性的关键方面。
英文摘要
This PhD project, in collaboration with the Nottingham Arts company Makers of Imaginary Worlds (MoIW), will investigate, develop, and implement (in a live environment with a real audience) adaptive robotic behaviours that can respond to changing audience states, such as excitement, boredom and attention using Computer Vision (CV) and Artificial Intelligence (AI) methods, to enhance and enrich the audience experience.Research into personalised robotic systems is highly significant to the world of today, where Internet of Things (IoT) devices are commonplace in our homes, and AI robotics are becoming increasingly present in not only industrial applications but also everyday consumer products. In order to enable the production of higher quality, more socially enriching, and trustworthy systems that can be accessed and accepted by all members of society, it is imperative that we achieve a greater understanding of the robotic control and decision mechanisms and the ethical and moral constructs that help define them.One of the governing aims of this project is to develop computer sensing solutions to evaluate human behaviours and emotions and investigate how an AI robotic system might perceive, interact, and respond to audiences and how that could benefit the audience experience or degrade it. A key area of research that directly relates to human behavioural analysis is contextual awareness in robotic systems. Enabling a system to detect human behaviour or emotion and understand why the human is displaying those behaviours or emotions is a crucial aspect of improving the autonomy of social robotics and human-robot relationships.
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