NRI: FND: The Urban Design and Policy Implications of Ubiquitous Robots and Navigation Safety

NRI：FND：无处不在的机器人和导航安全的城市设计和政策影响

基本信息

批准号：
1830642
负责人：
Matthew Spenko
金额：
$ 75万
依托单位：
Illinois Institute of Technology
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
起止时间：
2018-08-15 至 2022-07-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1830642&HistoricalAwards=false
关键词：
NRI FND Urban Design Policy

项目摘要

This research project will investigate how to reshape 20th-century transportation infrastructure (such as highways, intersections, roads, and sidewalks) for the 21st-century so that it may accommodate autonomous vehicles while addressing the needs of the entire community. To do so, it will explore trade-offs between three key elements: safety, usability, and aesthetics. It will then propose a suitable balance between these elements by developing a framework for reshaping the existing infrastructure. The resulting framework will serve to inform city planners, architects, and landscape architects how to plan and design cities in which autonomous vehicles safely interact with humans, and it will serve to educate roboticists on how to ensure that the technology they are developing has a positive societal impact.This project will investigate the critical link between the urban landscape and navigation safety of mobile co-robots, from self-driving cars to delivery drones, or any mobile co-robot that operates on city streets and sidewalks. It will address fundamental questions of safety and trust in operating ubiquitous robots in dense urban environments by determining what changes to the urban infrastructure can simultaneously ensure safety, usability, and environmental sustainability. It will bring to light opportunities enabled by ubiquitous co-robots, and more to the point it will show how to leverage that technology to make changes in the transportation infrastructure that lead to positive changes for society.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.

该研究项目将研究如何为 21 世纪重塑 20 世纪的交通基础设施（例如高速公路、十字路口、道路和人行道），使其能够容纳自动驾驶车辆，同时满足整个社区的需求。为此，它将探索三个关键要素之间的权衡：安全性、可用性和美观。然后，它将通过开发一个重塑现有基础设施的框架，在这些要素之间提出适当的平衡。由此产生的框架将帮助城市规划者、建筑师和景观设计师如何规划和设计自动驾驶汽车与人类安全互动的城市，并将帮助机器人专家了解如何确保他们正在开发的技术具有积极的作用。社会影响。该项目将研究城市景观与移动协作机器人的导航安全之间的关键联系，从自动驾驶汽车到送货无人机，或在城市街道和人行道上运行的任何移动协作机器人。它将通过确定城市基础设施的哪些变化可以同时确保安全性、可用性和环境可持续性，解决在密集的城市环境中操作无处不在的机器人的安全和信任的基本问题。它将揭示无处不在的协作机器人所带来的机遇，更重要的是，它将展示如何利用该技术来改变交通基础设施，从而为社会带来积极的变化。该奖项反映了 NSF 的法定使命，并已通过使用基金会的智力优点和更广泛的影响审查标准进行评估，认为值得支持。

项目成果

期刊论文数量（4）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Landmark Augmentation for Mobile Robot Localization Safety

移动机器人定位安全的里程碑增强

DOI：
10.1109/lra.2020.3032067
发表时间：
2021
期刊：
IEEE Robotics and Automation Letters
影响因子：
5.2
作者：
Chen, Yihe;Hafez, Osama Abdul;Pervan, Boris;Spenko, Matthew
通讯作者：
Spenko, Matthew

On Robot Localization Safety for Fixed-Lag Smoothing: Quantifying the Risk of Misassociation

固定滞后平滑的机器人定位安全：量化错误关联的风险

DOI：
10.1109/plans46316.2020.9110126
发表时间：
2020
期刊：
Location and Navigation Symposium (PLANS
影响因子：
0
作者：
Hafez, Osama Abdul;Arana, Guillermo Duenas;Chen, Yihe;Joerger, Mathieu;Spenko, Matthew
通讯作者：
Spenko, Matthew

Evaluating INS/GNSS Availability for Self-Driving Cars in Urban Environments

评估城市环境中自动驾驶汽车的 INS/GNSS 可用性