Workshop on the Dynamic Interaction of Embodied Human and Machine Intelligence; Marconi State Historic Park, Marshall, California; June 2018

人类与机器智能的动态交互研讨会；

• 批准号: 1744637
• 负责人: Ramesh Balasubramaniam
• 金额: $ 5万
• 依托单位: University of California - Merced
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-08-01 至 2019-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1744637&HistoricalAwards=false
• 关键词: Workshop; Dynamic; Interaction; Embodied; Human

This award will support an interdisciplinary workshop to study how humans and intelligent machines, such as robots, may behave while physically interacting with each other, in contrast to situations where they only exchange information. These questions will become increasingly important as humans begin to come into frequent physical contact with intelligent machines, such as when navigating shared spaces, riding in or walking near autonomous vehicles, or interacting with caregiving or physical therapy robots.This workshop will gather experts from cognitive neuroscience, behavioral science, dynamics and control, robotics, optimization, and computer science to define key challenges in analyzing the dynamic behavior of systems of embodied human and machine intelligences. Due to rapidly developing capabilities in machine learning, and wide scale deployment of autonomous and intelligent robotic systems, humans in the near future will regularly find themselves physically interacting with intelligent technology. Such intelligent technology might include home assistance robots, physical therapy robots, autonomous vehicles, and smart buildings. The dynamics of physically coupled of humans and intelligent machines have so far received little study, despite the potential for unexpected behavior.

该奖项将支持一个跨学科研讨会，研究人类和智能机器（如机器人）在相互物理交互时的行为，而不是只交换信息的情况。随着人类开始频繁地与智能机器进行身体接触，这些问题将变得越来越重要，例如在共享空间中导航，乘坐或在自动驾驶汽车附近行走，或与康复或物理治疗机器人互动时。本次研讨会将聚集来自认知神经科学，行为科学，动力学和控制，机器人技术，优化，和计算机科学来定义分析体现人类和机器智能系统的动态行为的关键挑战。由于机器学习能力的快速发展，以及自主和智能机器人系统的大规模部署，在不久的将来，人类将经常发现自己与智能技术进行物理交互。这种智能技术可能包括家庭辅助机器人、物理治疗机器人、自动驾驶汽车和智能建筑。人类和智能机器的物理耦合动力学迄今为止几乎没有得到研究，尽管有可能出现意想不到的行为。