I-Corps: RoboSPRITE: The Social, Swarming, Educational Robot

I-Corps：RoboSPRITE：社交、集群、教育机器人

• 批准号: 1439018
• 负责人: Magnus Egerstedt
• 金额: $ 5万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-06-01 至 2014-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1439018&HistoricalAwards=false
• 关键词: Corps; RoboSPRITE; Social; Swarming; Educational

This project addresses robotics and robotic swarm collaboration. This I-Corps team will explore commercialization of systems of multi-robots that will be transitioned onto swarming, social, educational, programmable, robotic toys. The resulting product, the RoboSPRITE, will form and evolve relationships with other robots, which in turn manifest themselves through different types of coordinated interaction maneuvers. The envisioned project, the RoboSPRITE, has never existed before outside the research lab. As a toy, the robots remember each other, form 'friendships' over time, and adaptively change their behaviors and interaction rules based on the history of their interactions. These interaction rules are moreover programmable, turning the toys into vehicles for learning robotics, coding, mathematics, and even biology since different types of biological herding, hunting, and foraging strategies can be encoded. As such, broader impact can be found in the educational domain, where children will be exposed to STEM concepts in a playful setting.The intellectual driver behind the proposed educational, robotic toy is research that focuses on the design of algorithms for large swarms of cooperating robots, with particular focus on mobility algorithms. Through this research, biologically inspired coordination strategies have been developed for making robot teams solve problems based solely on local interaction rules. These interaction rules are designed in such a way that global properties emerge in the team in a provable manner. This combination of robotics, biological principles, and control theory, has previously allowed for the development of particular types of algorithms, such as formation control and coverage algorithms. Through the proposed work, they will be taken even further to allow for the development of a novel set of algorithms for the creation of programmable, customizable interaction behaviors, and consequently, the development of robots that can interact with each other through such behaviors.

这个项目致力于机器人技术和机器人群体协作。这个i-Corps团队将探索多机器人系统的商业化，这些系统将过渡到成群的、社交、教育、可编程的机器人玩具上。由此产生的产品RoboSPRITE将与其他机器人形成和发展关系，这些关系反过来通过不同类型的协调互动动作表现出来。这个设想中的项目RoboSPRITE以前从未在研究实验室之外存在过。作为一个玩具，机器人相互记住，随着时间的推移建立起友谊，并根据它们互动的历史自适应地改变它们的行为和互动规则。此外，这些交互规则是可编程的，将玩具变成学习机器人、编码、数学甚至生物学的工具，因为不同类型的生物放牧、狩猎和觅食策略可以编码。因此，在教育领域可以发现更广泛的影响，孩子们将在一个有趣的环境中接触到STEM的概念。拟议的教育机器人玩具背后的智力驱动因素是研究，重点是为大量合作的机器人设计算法，特别是移动算法。通过这项研究，已经开发出受生物启发的协调策略，使机器人团队完全基于本地交互规则来解决问题。这些交互规则的设计方式是，全局属性以可证明的方式出现在团队中。这种机器人学、生物学原理和控制理论的结合，以前已经允许开发特定类型的算法，如队形控制和覆盖算法。通过拟议的工作，它们将进一步允许开发一套新的算法，用于创建可编程的、可定制的交互行为，从而开发能够通过此类行为相互交互的机器人。