NRI: FND: Human-Robot Collaboration with Distributed and Embodied Intelligence

该奖项支持机器人智能再体现问题的研究。需要解决的根本问题是，机器人是否应该被设计成让不同的合成智能接管。通过交换芯片，智能手机可以被重新利用，为不同的用户服务。是否应该设计功能更高的机器人，使它们以适当相似的方式运行？这个项目的目标是回答这个问题沿着一些相关的问题，包括以下。机器人应该被设计成让不同的智能接管吗？智力的中心在哪里？用户如何理解它在哪里，谁或什么在控制？重新体现如何影响隐私问题？为了回答这些问题，这项研究工作将采用混合方法，包括调查，实地考察，模拟和机器人操作系统模块的现场测试。这项工作的发现预计将对机器人开发人员和其他研究人员具有直接价值。其他影响包括博士生的跨学科培训，并为本科生创造研究机会。团队成员计划利用这项研究成果丰富人机交互课程，并在推广活动中吸引非学术观众。本研究项目使用多种方法来研究机器人的智能再体现问题。团队成员将进行在线调查，以系统地评估与重新体现有关的因素。他们将参与实地考察，以调查人们在具有几个智能系统的环境中工作和生活的当前做法。这些发现将反过来用于通知用户制定研究，该研究将创建真实世界环境的模拟，并测试参与者对不同机器人行为的反应。团队成员还将使用第二个在线研究提取和评估一组通用的交互原则。此外，他们还将开发一个机器人操作系统（ROS）模块，通过基于云的智能实现机器人的重新体现;该模块将用于评估与这些系统交互的企业主和其他利益相关者的反应。这些研究的结果将促进人们如何理解再体现的知识。它们将用于绘制一组设计建议，设计功能和相应的交互模式，这些模式在不同的上下文中还不存在于机器人行为周围。它们还将导致支持远程智能重新体现的软件组件的生产。更广泛地说，它们将有助于实现完全协作、无处不在、相互连接的协作机器人系统的愿景。

This award supports research on the issue of intelligence re-embodiment in robots. The fundamental question to be addressed is whether robots should be designed so that different synthetic intelligences can take over. A smart phone can be repurposed to serve different users by swapping chips. Should robots with much higher functionality be designed so that they operate in a suitably similar way? The goal of this project is to answer this question along with a number of related questions including the following. Should robots be designed so different intelligences can take over? Where does the locus of intelligence sit? How does the user understand where it is and who or what is in control? How does re-embodiment impact issues of privacy? To answer these questions, this research effort will adopt a mixed-methods approach including surveys, fieldwork, simulations, and on-site testing of a robot operating system module. The findings of this work are expected to have direct value to robot developers and other researchers. Other impacts include interdisciplinary training of PhD students, and creating research opportunities for undergraduates. Team members plan to use the results of this research to enrich courses on human-robot interactions, and in outreach activities to engage non-academic audiences.This research project uses a variety of methods to study the issue of intelligence re-embodiment in robots. Team members will conduct online surveys to systematically assess factors related to re-embodiment. They will engage in fieldwork to investigate current practices of people working and living in environments with several intelligent systems. These findings will in turn be used to inform a user enactment study that will create simulations of real-world contexts and test participants' reactions to different robot behaviors. Team members will also extract and evaluate a set of generalized interaction principles using a second online study. In addition, they will develop a robot operating system (ROS) module to enable re-embodiment of robots by a cloud-based intelligence; the module will be used to assess reactions of business owners and other stakeholders interacting with these systems. The results of these research components will advance knowledge on how people understand re-embodiment. They will serve to map out a set of design recommendations, design features, and the corresponding interaction patterns that do not yet exist around robot behavior in different contexts. They will also lead to the production of software components that support re-embodiment by remote intelligences. More generally, they will help achieve a vision of fully collaborative, ubiquitous, interconnected co-robot systems.