CAREER: Additively Manufactured Soft Robots with Integrated Fluidic Logic and Flexible Electronic Interfaces
CAREER: Additively Manufactured Soft Robots with Integrated Fluidic Logic and Flexible Electronic Interfaces
批准号:
2237506
负责人:
Markus Nemitz
金额:
$59.98万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-08-01 至 2028-07-31
中文摘要
这个教师早期职业发展计划(CAREER)项目将支持研究,以创建一个新的类定制,3D打印软机器人与容忍水平的结构变形,将禁用传统的方法来计算和控制的能力。该项目的目标是能够快速设计、制造和部署高度定制的机器人舰队,以应对独特而紧急的任务。例如,这些机器人将能够在洞穴系统或碎片场中的小而弯曲的空间中导航,这可能是机器人搜索和救援或勘探所需要的。机械智能、嵌入式流体电路和柔性电子器件的协同使用将使这些新的机器人功能成为可能。机械智能--利用机器人的几何形状和材料特性来适应意外条件--可以显著降低机器人完成目标所需的计算能力。Fluorescent logic利用机器人体内柔性通道中的流体运动,将来自接触传感器和其他外部刺激的信号转换为打开和关闭机器人执行器的命令。流体逻辑可以直接内置到机器人身体和弯曲和扭曲,而不会失去功能。最后,最好以电子方式执行的通信和控制功能将使用具有高动态变形容限的柔性和可拉伸电子器件来实现。由此产生的机器人将能够实现复杂的功能,同时根据需要进行严重的形状变化,以穿越否则无法进入的空间。全面的教育活动纳入并补充了研究,包括一个新的动手本科课程可打印的机器人技术,并在伍斯特县的公立高中推广计划。该项目将创建可以使用增材制造技术快速3D打印的机器人架构,以生产廉价的机器人,这些机器人可以在有限的空间中爬行,跳跃,游泳和潜水,并且可以快速定制以融入特定任务的细节。研究目标是3D打印具有集成流体状态机的机器人,这些机器人响应流体传感器并控制流体执行器。一类新的互补流体逻辑门和电流体存储元件将开发从多稳定的弯曲梁结构与集成的线性致动器和流体管道。柔性电子电路和电流体互连将使用导电油墨和弹性体集成到机器人中。电子器件的作用将被最小化,并限于选择流体功能,使流体传感器和致动器功能化,以及将程序写入流体存储器。该计划将为陆地,水下和两栖机器人提供全面的机器人架构,包括设计,制造工艺,建模和控制方法以及软件。该项目将保持一个不断发展的机器人组件库,并将寻求通过赞助一系列越来越具有挑战性的基准测试场景来建立一个研究人员和潜在用户的社区,这些场景的灵感来自2018年泰国Tham Luang洞穴救援。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
This Faculty Early Career Development Program (CAREER) project will support research to create a new class of made-to-order, 3D-printable soft robots with the capability to tolerate levels of structural deformations that would disable conventional approaches to computing and control. The goal of the project is to be able to rapidly design, fabricate, and deploy a highly customized fleet of robots to respond to unique and urgent missions. These robots would be able to, for example, navigate small, winding spaces in cave systems or debris fields, as might be required for robotic search-and-rescue or exploration. The synergistic use of mechanical intelligence, embedded fluidic circuits, and flexible electronics will enable these new robot capabilities. Mechanical intelligence - the use of robot geometry and material properties to adapt to unexpected conditions - can significantly reduce the amount of computing capacity needed for the robot to accomplish its goals. Fluidic logic uses the movement of fluid in flexible channels within the robot body to convert signals from contact sensors and other external stimuli into commands that turn robot actuators on and off. Fluidic logic can be directly built into the robot body and bend and twist without losing function. Finally, communication and control functions that are best performed electronically will be implemented using flexible and stretchable electronics with a high tolerance for dynamic deformation. The resulting robots will be able to implement sophisticated functionality, while undertaking severe shape changes as needed, to traverse otherwise inaccessible spaces. Comprehensive educational activities incorporate and complement the research, including a new hands-on undergraduate course on printable robotics, and an outreach program to public high schools in Worcester County. This project will create robot architectures that can be quickly 3D printed using additive manufacturing techniques, to produce inexpensive robots that can crawl, jump, swim, and dive through confined spaces, and which can be rapidly customized to incorporate mission-specific details. The research goal is to 3D print robots with integrated fluidic state machines that respond to fluidic sensors and control fluidic actuators. A new class of complementary fluidic logic gates and electro-fluidic memory elements will be developed from multi-stable flexing beam structures with integrated linear actuators and fluidic tubing. Flexible electronic circuits and electro-fluidic interconnects will be integrated into the robots using conductive inks and elastomers. The role of electronics will be minimized and limited to selecting fluidic functionalities, functionalizing fluidic sensors and actuators, and writing programs into fluidic memory. The program will deliver a comprehensive robot architecture for terrestrial, underwater, and amphibious robots, including designs, fabrication processes, modeling and control methodologies, and software. The project will maintain a continuously evolving robot component library and will seek to build a community of researchers and potential users by sponsoring a sequence of increasingly challenging benchmarking scenarios inspired by the Tham Luang cave rescue in Thailand in 2018.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.
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