Collaborative Research: SHF: Small: Interactive Synthesis and Repair For Robot Programs
Collaborative Research: SHF: Small: Interactive Synthesis and Repair For Robot Programs
批准号:
2102291
负责人:
Arjun Guha
金额:
$19.38万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-09-01 至 2024-05-31
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Over the past few years, robots have started to be deployed in unstructured human environments. There are hundreds of robots deployed in hospitals, hotels, and supermarkets. Unfortunately, the software that runs on robots is programmed using low-level abstractions and languages, and is hard to transfer across robots and environments. In addition robotic software requires complex control logic to ensure that robots are safe and well-behaved in all situations. Thus, robot software is extraordinarily hard to write and maintain. This research project develops tools and techniques to make robot software safer, easier to write, and easier to maintain. The intellectual merits of the project are the development of (1) techniques for fixing bugs in robot software, based on advances to automatic program repair and program synthesis; (2) abstractions for writing robot software that can automatically handle certain kinds of failures, based on new programming-language design; (3) methods for checking the correctness of robot software, based on new program-verification techniques. The project's broader significance and importance are that it helps make robot software easier to write and maintain, and cheaper, safer, and more reliable. The project encourages further research at the intersection of programming languages and robotics by publishing research results and releasing open-source software. The project also involves high-school outreach workshops to broaden participation in computing.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(2)
专著(0)
科研奖励(0)
会议论文
DOI:
--
发表时间:
2020-08
期刊:
影响因子:
--
作者:
[Jarrett Holtz;Arjun Guha;Joydeep Biswas]
通讯作者:
Jarrett Holtz;Arjun Guha;Joydeep Biswas
Do Machine Learning Models Produce TypeScript Types that Type Check?
机器学习模型是否会生成可进行类型检查的 TypeScript 类型?
DOI:
--
发表时间:
2023
期刊:
European Conference on Object Oriented Programming (ECOOP
影响因子:
--
作者:
[Ming-Ho Yee, Arjun Guha]
通讯作者:
Arjun Guha
Collaborative Research: FW-HTF-RM: AI-Assisted Programming: Equipping Social and Natural Scientists for the Future of Research
-
批准号:2326173
-
项目类别:Standard Grant
-
资助金额:$25.2万
-
财政年份:2023
-
负责人:Arjun Guha
-
依托单位:
SHF:Small:A Language-based Approach to Faster and Safer Serverless Computing
-
批准号:2102288
-
项目类别:Standard Grant
-
资助金额:$44.11万
-
财政年份:2020
-
负责人:Arjun Guha
-
依托单位:
SHF:Small:A Language-based Approach to Faster and Safer Serverless Computing
-
批准号:2007066
-
项目类别:Standard Grant
-
资助金额:$45.0万
-
财政年份:2020
-
负责人:Arjun Guha
-
依托单位:
Collaborative Research: SHF: Small: Interactive Synthesis and Repair For Robot Programs
-
批准号:2006995
-
项目类别:Standard Grant
-
资助金额:$20.0万
-
财政年份:2020
-
负责人:Arjun Guha
-
依托单位:
Collaborative Research: FMitF: Track I: Game Theoretic Updates for Network and Cloud Functions
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批准号:2018393
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项目类别:Standard Grant
-
资助金额:$29.5万
-
财政年份:2020
-
负责人:Arjun Guha
-
依托单位:
Collaborative Research: FMitF: Track I: Game Theoretic Updates for Network and Cloud Functions
-
批准号:2052696
-
项目类别:Standard Grant
-
资助金额:$29.5万
-
财政年份:2020
-
负责人:Arjun Guha
-
依托单位:
NeTS: Large: Collaborative Research:Programmable Inter-Domain Observation and Control
-
批准号:1413985
-
项目类别:Continuing Grant
-
资助金额:$66.0万
-
财政年份:2014
-
负责人:Arjun Guha
-
依托单位:
国内基金
海外基金
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