Collaborative Research: Single-Input Control of Large Microrobot Swarms using Serial Addressing for Microassembly and Biomedical Applications
Collaborative Research: Single-Input Control of Large Microrobot Swarms using Serial Addressing for Microassembly and Biomedical Applications
批准号:
1762924
负责人:
Igor Paprotny
金额:
$36.68万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-06-01 至 2024-05-31
中文摘要
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英文摘要
This collaborative research project will create a practical control scheme for large swarms of microrobots. These robots are typically no more than a few millimeters in length, and rely on an external power source and control signal. Currently, it is possible to steer the swarm as a whole to a single destination (or perhaps, to a desired average location). However, realizing the full potential benefits of microrobot swarms will require the ability to simultaneously send independent commands, either to individual robots or to small subgroups. Device designs have previously been explored that respond to different command amplitudes, however this approach quickly becomes impractical as the number of independently addressable robots grows. This scalability problem can be overcome using serial addressing schemes. Here, there are only a few distinct values for the control signal. Each independently addressable subset of robots is associated with a unique sequence of signal values, and will change its behavior only if the control signal contains that specific sequence. This project considers two fundamental issues that arise in implementing such a scheme. First is the need for on-board computation and memory allowing the robots to recognize the unique sequence and to change the robots state based on the detection of such sequence. Second is the need for a propulsive mechanism that couples to the robot state to allow differential guidance towards a target configuration. This project will advance two innovative engineering platforms that meet both needs. The first is electrostatically actuated, operates on a planar substrate, and is suitable for structured tasks such as microassembly. The second is magnetically actuated, operates in a liquid volume, and is suitable for biomedical applications such as drug delivery. The technical aspects of the project are complimented by outreach activities, including an annual microrobotics mobility competition to be held at the IEEE International Conference on Robotics and Automation -- a premier robotics conference for academia and industry. The results from this project will enhance the national health, by enabling new diagnostic and therapeutic uses for microrobot swarms. They will also promote the national prosperity, by enabling new classes of microassembly robots.This project aims to develop a practical control scheme to simultaneously control large numbers of microrobots. This will be achieved by using microelectromechanical systems (MEMS) to electromechanically and magnetically decode a sequence embedded in the single global control signal, and couple the reconfiguration of such sequence to the modification of the individual microrobot trajectories. This on-board sequence decoding will be accomplished through sets of on-board physics-based finite state machines (PFSM) that can accept a control sequence embedded in the control signal and change the behavior of the microrobots accordingly. The project will use both electrostatic and magnetic approaches to implement PFSMs, and to couple their "accept" state to the propulsion mechanism to modulate individual trajectories. Sets of stress-engineered electrostatic switches, which will latch in response to a pre-programmed control voltage sequence, will be used to implement PFSM on the electrostatic platform. Electro-permanent magnetic circuits, which change their magnetic moment in response to a sequence of global magnetic field, will be used to implement PFSM on the magnetic platform. The project will develop the theory for PFSM-based multi-microrobot control, construct both electrostatic and magnetic microrobotic PFSM platforms, and validate the concept by implementing the PFSM-based control on swarms of electrostatically and magnetically powered microrobots. The developed theory and approach will pave way for control of large microrobot swarms for numerous biomedical and microassembly applications.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(7)
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The Structured Distance to the Nearest System Without Property P
没有属性 P 的到最近系统的结构化距离
DOI:
10.1109/tac.2018.2817163
发表时间:
2018
期刊:
IEEE Transactions on Automatic Control
影响因子:
6.8
作者:
[Johnson, Scott C., Wicks, Mark, Zefran, Milos, DeCarlo, Raymond A.]
通讯作者:
DeCarlo, Raymond A.
Role Switching in Task-Oriented Multimodal Human-Robot Collaboration
面向任务的多模式人机协作中的角色切换
DOI:
10.1109/ro-man47096.2020.9223461
发表时间:
2020
期刊:
IEEE International Conference on Robot and Human Interactive Communication (RoMan
影响因子:
--
作者:
[Monaikul, N., Abbasi, B., Risbek, Z., Di Eugenio, B., Zefran, M.]
通讯作者:
Zefran, M.
Group-based control of large-scale micro-robot swarms with on-board Physical Finite-State Machines
具有机载物理有限状态机的大规模微型机器人群的基于群体的控制
DOI:
10.1109/case49997.2022.9926706
发表时间:
2022
期刊:
2022 IEEE 18th International Conference on Automation Science and Engineering (CASE
影响因子:
--
作者:
[Li, Siyu, Zefran, Milos, Paprotny, Igor]
通讯作者:
Paprotny, Igor
Physical Action Primitives for Collaborative Decision Making in Human-Human Manipulation
人机协作决策的物理动作原语
DOI:
10.1109/ro-man50785.2021.9515363
发表时间:
2021
期刊:
IEEE International Conference on Robot and Human Interactive Communication (RO-MAN
影响因子:
--
作者:
[Rysbek, Zhanibek, Oh, Ki Hwan, Abbasi, Bahareh, Zefran, Milos, Di Eugenio, Barbara]
通讯作者:
Di Eugenio, Barbara
A Multimodal Human-Robot Interaction Manager for Assistive Robots
用于辅助机器人的多模式人机交互管理器
DOI:
10.1109/iros40897.2019.8968505
发表时间:
2019
期刊:
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS
影响因子:
--
作者:
[Abbasi, Bahareh, Monaikul, Natawut, Rysbek, Zhanibek, Eugenio, Barbara Di, Zefran, Milos]
通讯作者:
Zefran, Milos
EAGER: Opto-Radiometric Powered Untethered MEMS Microfliers
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批准号:1620282
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项目类别:Standard Grant
-
资助金额:$24.65万
-
财政年份:2016
-
负责人:Igor Paprotny
-
依托单位:
国内基金
海外基金
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依托单位:
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