CSR:Small: TEAMS -- Transplanting Artificial Life Behaviors to Mobile Robots

CSR:Small：齐思——将人工生命行为移植到移动机器人上

• 批准号: 0915855
• 负责人: Philip McKinley
• 金额: $ 49.44万
• 依托单位: Michigan State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2013-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0915855&HistoricalAwards=false
• 关键词: CSR; Small; TEAMS; Transplanting; Artificial

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).The TEAMS project applies digital evolution to the design of robust communication services for cooperating groups of robots. Example applications include teams of robots for disaster relief operations, assisting humans in dangerous occupations, and monitoring of critical infrastructure and public service facilities such as drinking water reservoirs. In digital evolution, a population of self-replicating computer programs exists in a user-defined computational environment and is subject to mutations and natural selection. Evolved algorithms (sequences of instructions comprising the genomes of digital organisms) can be recompiled to execute directly on hardware platforms. The project explores three overlapping classes of behavior: distributed self-organization of nodes; collective communication operations that tolerate adverse conditions; and mobility-aided communication methods, where nodes change their locations in order to improve communication performance. Evolved behaviors are evaluated on an NSF-sponsored digital evolution testbed containing a heterogeneous collection of microrobots. The ability to observe the evolutionary process in digital organisms provides a powerful method to investigate the driving forces in complex systems. The TEAMS project exploits this open-ended method of exploration to find better ways to construct software for mobile robotic systems that need to interact with the physical world, and each other, in order to solve problems. On a broader scale, the project includes several innovative educational and outreach components, such as an after-school program to provide economically disadvantaged K-12 students with exciting hands-on experiences involving evolutionary computation, adaptive software, and robotics.

该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。TEAMS项目将数字进化应用于为机器人合作组设计强大的通信服务。 示例应用包括用于救灾行动的机器人团队，协助人类从事危险职业，以及监控关键基础设施和公共服务设施，如饮用水水库。 在数字进化中，一群自我复制的计算机程序存在于用户定义的计算环境中，并受到突变和自然选择的影响。 进化算法（包括数字生物体基因组的指令序列）可以重新编译，直接在硬件平台上执行。 该项目探讨了三种重叠的行为：节点的分布式自组织;容忍不利条件的集体通信操作;以及移动性辅助通信方法，其中节点改变其位置以提高通信性能。 进化的行为进行评估的NSF赞助的数字进化测试床包含一个异构的微型机器人的集合。 观察数字生物进化过程的能力为研究复杂系统中的驱动力提供了一种强有力的方法。 TEAMS项目利用这种开放式探索方法来寻找更好的方法来为需要与物理世界以及彼此交互以解决问题的移动的机器人系统构建软件。 在更广泛的范围内，该项目包括几个创新的教育和推广组件，如课后计划，为经济上处于不利地位的K-12学生提供涉及进化计算，自适应软件和机器人技术的令人兴奋的实践经验。