项目来源

美国国家科学基金(NSF)

项目主持人

Beiwen Li

项目受资助机构

UNIVERSITY OF GEORGIA

财政年度

2025,2021

立项时间

未公开

项目编号

2506209

项目级别

国家级

研究期限

未知 / 未知

受资助金额

419466.00美元

学科

未公开

学科代码

未公开

基金类别

Standard Grant

关键词

NRI-National Robotics Initiati ; COMPUTER VISION ; ROBOTICS ; Natl Robotics Initiative(NRI) ; ENVIRON CONSCIOUS DESIGN AND MANUFACTURI ; WOMEN ; MINORITY ; DISABLED ; NEC

参与者

未公开

参与机构

UNIVERSITY OF GEORGIA RESEARCH FOUNDATION,INC

项目标书摘要：The National Robotics Initiative(NRI)project addresses the increasing quantity of discarded high-precision electronics such as cell phones,tablets,and laptops.Current recycling methods rely on shredding after battery removal,due to high labor costs for disassembly.As a result,many valuable components are buried in landfills and not recycled.Disassembly,the first step of recycling,is more complex than assembly since there is much more variability in product type and,as a result,remanufacturing is usually not profitable.This award supports research to provide the fundamental understanding needed for the development of a novel robotic system that can effectively perform high-precision disassembly operations and make them practically and economically viable.The work has potential to mitigate labor shortages in recycling industry,reduce electronics waste,and revolutionize the remanufacturing of high-precision electronics.The research involves several disciplines including 3D sensing,deep learning,and robotics.The multidisciplinary research will be integrated into a series of educational and outreach activities which will increase the participation of underrepresented groups in research and positively impact engineering education.Unlike the robotic assembly lines that assemble products,programming robots for repetitive operations is not a feasible solution for disassembly due to the widely varying types of discarded high-precision electronics.Therefore,disassembly of high-precision electronics is significantly more complex than assembly and requires high robotic adaptability,dexterity and accuracy.The research aims to enable a novel robotic system that can accurately see,interpret,and disassemble high-precision electronics through integrated and convergent research on 3D sensing,deep learning,robotic hand design,and high-precision manipulation.In particular,the research team will(1)perform accurate 3D sensing for complex surfaces exhibiting wide ranges of optical properties and reflectivity variations;(2)design and optimize the design of deep learning architectures for 3D point cloud interpretation;and(3)design a novel lightweight cable-driven robotic hand and develop a high-precision manipulation algorithm enabling efficient learning from experience.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.

人员信息

Beiwen Li(Principal Investigator)：Beiwen.Li@uga.edu；

机构信息

【University of Georgia(Performance Institution)】StreetAddress：310 E CAMPUS RD RM 409,ATHENS,Georgia,United States/ZipCode：306021589；【UNIVERSITY OF GEORGIA RESEARCH FOUNDATION,INC.】StreetAddress：310 E CAMPUS RD RM 409,ATHENS,Georgia,United States/PhoneNumber：7065425939/ZipCode：306021589；

项目主管部门

Directorate for Engineering(ENG)-Division of Civil,Mechanical,and Manufacturing Innovation(CMMI)

项目官员

Jordan Berg(Email：jberg@nsf.gov；Phone：7032925365)