CAREER: Biologically-Inspired Integrated Sensors for Robotics Applications

职业：用于机器人应用的仿生集成传感器

• 批准号: 9984954
• 负责人: Chang Liu
• 金额: $ 30.34万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-05-01 至 2005-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9984954&HistoricalAwards=false
• 关键词: CAREER; Biologically; Inspired; Integrated; Sensors

Sensor development is an extremely costly and time-consuming process at the present time. Integrated sensors based on unique performance specifications and low volume needs are unavailable for robotics use despite the advancement in sensor technologies. The full potential of integrated sensors in robotics applications is not realized. The PI proposes to introduce an artificial hair cell, which is inspired by biological hair cell receptors, as a modular building block for a variety of sensors. The broadobjective is to establish a radical sensor architecture and a new approach for the efficient development of integrated sensors for robotics applications. Specific objectives of this research project are: (1) to establish the design principles, fabrication processes, and material expertise for individual hair cell sensors and to assess and optimize their mechanical characteristics; (2) to implement artificial hair cells in twoexemplary sensor systems - a gyroscopic and an artificial lateral-linesensor for underwater robots. Excellence in education will be vigorously pursued in the PI's career. During the period of this award, the PI plans to undertake fourinitiatives including (1) a new undergraduate/graduate curriculum in thearea of micro electromechanical systems (MEMS); (2) a new MEMS class as an integral component of a joint Master of Engineering degree program to educate professionals; (3) an education outreach program that encourages high-school students to explore; (4) outreach activities. It is anticipated that these developments will significantly enrich and strengthen the educational programs in the University of Illinois and the community.

当前，传感器开发是一个非常昂贵且耗时的过程。 尽管传感器技术进步，但基于独特的性能规格和低容量需求的集成传感器无法用于机器人技术。 没有实现集成传感器在机器人应用中的全部潜力。 PI建议引入人造毛细胞，该毛细胞的灵感来自生物毛细胞受体，作为各种传感器的模块化构建块。 扩展是为了建立一种激进的传感器体系结构和一种新的方法，用于有效地开发用于机器人技术的集成传感器。 该研究项目的具体目标是：（1）建立针对单个毛细胞传感器的设计原理，制造过程和物质专业知识，并评估和优化其机械特性； （2）在两个效率的传感器系统中实现人造毛细胞 - 水下机器人的陀螺仪和人工侧向管。在PI的职业生涯中将大力追求卓越的教育。在本奖项期间，PI计划在微电动机电系统（MEMS）的Thearea（MEMS）中聘请（1）新的本科/研究生课程； （2）新的MEMS课程是教育专业人员的工程学位硕士学位计划的组成部分； （3）鼓励高中生探索的教育外展计划； （4）外展活动。 预计这些发展将大大丰富和加强伊利诺伊大学和社区的教育计划。