REU: MEMS Algorithms and Systems for Distributed Manipulation

REU：分布式操纵的 MEMS 算法和系统

• 批准号: 9906790
• 负责人: Bruce Donald
• 金额: $ 36.9万
• 依托单位: Dartmouth College
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-09-15 至 2003-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9906790&HistoricalAwards=false
• 关键词: REU; MEMS; Algorithms; Systems; Distributed

Abstract IIS-9906790Donald, BruceDartmouth College $105,112 - 12 mos.MEMS Algorithms and Systems for Distributed ManipulationThis is the first year funding of a three year continuing award. The proposed research focuses on algorithms and systems that enable MEMS to perform distributed manipulation tasks, taking on the challenge of design, control, and programming of massively-parallel arrays of microactuators. Arrays of MEMS devices can move andposition tiny parts, such as integrated circuit chips, in flexible and predictable ways by oscillatory or ciliary action. The theory of programmable force fields can model this action, leading to algorithms for powerful and general micromanipulation strategies. The proposed research will develop new algorithms and new MEMS systems for massively parallel distributed manipulation. This entails the design, fabrication, and control of new MEMS devices, together with the design, construction, and programming of new control systems, algorithms, and software for task-level manipulation. The PI's team will investigate algorithms and systems for part orientation, singulation, sorting, and posing. They will extend the theory of programmable vector fields, develop universal feeder-orienter devices, exploit sensor feedback, and investigate closed loop control algorithms, online algorithms, and distributed, local control of ciliary arrays. Finally, the PI's team will explore the application of massively parallel systems and force fields to structural biology and human augmentation.

摘要 IIS-9906790Donald, Bruce达特茅斯学院 105,112 美元 - 12 mos.用于分布式操作的 MEMS 算法和系统这是三年连续奖励的第一年资助。拟议的研究重点是使 MEMS 能够执行分布式操纵任务的算法和系统，应对大规模并行微执行器阵列的设计、控制和编程挑战。 MEMS 器件阵列可以通过振荡或纤毛动作以灵活且可预测的方式移动和定位微小部件，例如集成电路芯片。可编程力场理论可以模拟这种行为，从而产生强大且通用的微操作策略的算法。拟议的研究将开发用于大规模并行分布式操纵的新算法和新 MEMS 系统。这需要设计、制造和控制新的 MEMS 器件，以及用于任务级操作的新控制系统、算法和软件的设计、构造和编程。 PI 的团队将研究用于零件定向、分割、排序和摆姿的算法和系统。他们将扩展可编程矢量场的理论，开发通用的馈线定向器设备，利用传感器反馈，并研究闭环控制算法、在线算法以及纤毛阵列的分布式局部控制。最后，PI 团队将探索大规模并行系统和力场在结构生物学和人体增强方面的应用。