CISE PostDoc: Microrobotics and MEMS

CISE 博士后：微型机器人和 MEMS

• 批准号: 9805548
• 负责人: Bruce Donald
• 金额: $ 6.6万
• 依托单位: Dartmouth College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-07-01 至 2001-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9805548&HistoricalAwards=false
• 关键词: CISE; PostDoc; Microrobotics; MEMS

9805548 Donald, Bruce Randall Dartmouth College CISE PostDoc: Microrobotics and MEMS Combining rapidly evolving technologies -- MicroElectroMechanical Systems (MEMS), distributed robotics, and biotechnological systems -- to create large collections of autonomous, intelligent micro-machines offers new capabilities that can be exploited for a variety of useful purposes. By merging sensing and actuation with computation and communication, MEMS devices can be distributed throughout the environment, coated on surfaces, or embedded within everyday objects to create distributed systems for sensing, reasoning about, and manipulating events in the physical world on a scale never before possible. A primary component of this research is the exploration of how to program massively-parallel MEMS microactuator arrays. Drawing on biological inspiration, arrays of artificial flagella and cilia provide actuation in the form of manipulation or locomotion. Asserting a coordinated effort by the aggregate array requires addressing the parallel actuation of individual robotic agents. The impact of a postdoctoral candidate includes: (1) new designs and processes for massively-parallel MEMS devices, (2) biologically-inspired systems and devices to implement massively-parallel manipulation and locomotion, and (3) control software and algorithms for arrays of artificial flagella and cilia. Experiments will be performed to validate the theory. This work is interdisciplinary, combining results from computer science, biology, and engineering.

Donald， Bruce Randall达特茅斯学院CISE博士后：微型机器人和MEMS结合快速发展的技术-微机电系统（MEMS），分布式机器人技术和生物技术系统-创建自主智能微型机器的大型集合，提供了可用于各种有用目的的新功能。通过将传感和驱动与计算和通信相结合，MEMS设备可以分布在整个环境中，涂覆在表面上，或嵌入日常物品中，以创建分布式系统，以前所未有的规模感知，推理和操纵物理世界中的事件。本研究的一个主要组成部分是探索如何编程大规模并行MEMS微执行器阵列。利用生物学灵感，人造鞭毛和纤毛阵列以操纵或运动的形式提供驱动。断言聚合阵列的协调努力需要解决单个机器人代理的并行驱动问题。博士后候选人的影响包括：(1)大规模并行MEMS器件的新设计和工艺，(2)实现大规模并行操作和运动的生物启发系统和设备，以及(3)人工鞭毛和纤毛阵列的控制软件和算法。将进行实验来验证这一理论。这项工作是跨学科的，结合了计算机科学、生物学和工程学的成果。