Promoting the Integration of Intelligent Human Assistants in Society through the Development of Robotic Sensory-based Intelligence and Control Technologies

通过发展机器人感知智能与控制技术，促进智能人类助手融入社会

• 批准号: 356301-2013
• 负责人: Nejat, Goldie
• 金额: $ 1.68万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=549939
• 关键词: Promoting; Integration; Intelligent; Human; Assistants

Robots have recently been defined to be one of the most influential technologies of the 21st century. Now more than ever, they are seen as a unique strategic technology that will become an important part of society. However, the personal/service robots currently in use today can only perform very specialized tasks in well-structured environments, with the vast majority working on their own to perform preprogrammed behaviours to accomplish a single task that usually does not involve humans. A grand challenge that still must be addressed for the widespread implementation of robots in our everyday lives is sensory-based intelligence and control. The proposed research will address this crucial challenge through three pertinent research sub-themes: 1) multi-modal sensing, 2) robot social intelligence, and 3) human-robot interaction (HRI) control architectures. These sub-themes are important in equipping robots for society with the perception and cognition needed to perform complex and interactive behaviours pertinent to assisting multiple non-expert human users in numerous tasks in varying real-world applications. The goal of the overall proposed research program is to develop novel intelligent and autonomous robotic technologies to be used as effective assistants in person-centered real-world environments.

机器人最近被定义为21世纪最具影响力的技术之一。现在，它们比以往任何时候都更被视为一种独特的战略技术，将成为社会的重要组成部分。然而，目前使用的个人/服务机器人只能在结构良好的环境中执行非常专业的任务，绝大多数机器人只能自己执行预先编程的行为，以完成通常不涉及人类的单一任务。在我们的日常生活中广泛使用机器人仍然必须解决的一个重大挑战是基于感觉的智能和控制。拟议的研究将通过三个相关的研究子主题来解决这一关键挑战：1）多模态传感，2）机器人社会智能和3）人机交互（HRI）控制架构。这些子主题在为社会装备机器人时非常重要，这些机器人具有执行复杂和交互式行为所需的感知和认知，这些行为与在不同的现实世界应用中协助多个非专家人类用户执行众多任务有关。总体研究计划的目标是开发新的智能和自主机器人技术，在以人为中心的现实世界环境中用作有效的助手。