Gobal - engagement with NASA JPL and ESA in Robotics, Brain Computer Interfaces, and Secure Adaptive Systems for Space Applications - RoBoSAS

全球 - 与 NASA JPL 和 ESA 合作开发机器人、脑机接口和空间应用安全自适应系统 - RoBoSAS

基本信息

  • 批准号:
    EP/K004638/1
  • 负责人:
  • 金额:
    $ 60.37万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2012
  • 资助国家:
    英国
  • 起止时间:
    2012 至 无数据
  • 项目状态:
    已结题

项目摘要

The project brings together complementary expertise from several leading research groups of the University of Essex, namely Robotics, Brain-Computer-Interfaces (BCI), Computational Intelligence and the Embedded and Intelligent Systems group to address significant challenges in autonomous systems for space applications. It seeks to significantly enhance and widen an existing collaboration for the design of autonomous embedded systems, robotics,evolutionary computing and BCI with the California Institute of Technology / NASA Jet Propulsion Laboratory (JPL), Pasadena, USA and the European Space Agency (ESA), in utilising the combination of a dedicated research programme combined with networking activities, including short-term and longer exchange visits of both academic staff and researchers, student placements and joint workshops to be held as part of conferences. In order to achieve our primary aim of engineering a robust and reliable autonomous robotic systems capable of adapting to a rapidly changing dynamic environment, we will explore employing hybrid techniques that are better able to face the issues emerging from space applications than any technique in its own right. For example, very limited work has been carried out to use the concept of empirical non-intrusive monitoring that drives the self-healing process of an embedded robotic system that operates in a potentially hostile environment, such as space. This project will explore this. A further major factor to address is that of secure communications. Security of communication is of paramount importance in space applications. The scientific impact and the investment associated with them are simply too great to risk an unauthorised breaking into a satellite or a spacecraft, or remotely taking a rover for a joy ride on a planet. While data encryption techniques are now highly sophisticated and well established, encryption itself cannot necessarily protect against fraudulent data manipulation when the security of encryption keys cannot be absolutely guaranteed. So, additionally, the programme will explore enhancing the significant existing research collaboration between the partners in deriving encryption keys directly from properties of digital systems (ICmetrics, this term stems originally from NASA JPL). Also, the possibility of controlling external devices using brain-computer interface technology could have a tremendous influence on strategic plans for future space missions. Indeed there is interest both at ESA and JPL in this area. Essex has historically been leading in this area. The Essex BCI group was one of the three partner institutions who were contracted by the European Space Agency in 2006 to produce a critical review of non-invasive BCI with a look at future perspectives for space applications. This study was one of the first of its kind. The possibility of using BCI in space applications has since been explored by a small number of studies. In this project we will explore a number of avenues with a top quality research team of BCI researchers, computer scientists and space experts.
该项目汇集了埃塞克斯大学几个主要研究小组的互补专业知识,即机器人、脑-计算机-接口(BCI)、计算智能以及嵌入式和智能系统小组,以应对空间应用自主系统中的重大挑战。它寻求显著加强和扩大与加州理工学院/美国国家航空航天局喷气推进实验室(喷气推进实验室)、美国帕萨迪纳和欧洲航天局(欧空局)在自主嵌入式系统、机器人、进化计算和BCI设计方面的现有合作,利用专门的研究方案与联网活动相结合,包括学术人员和研究人员的短期和长期交流访问、学生安置和作为会议一部分举行的联合讲习班。为了实现我们设计出能够适应快速变化的动态环境的健壮可靠的自主机器人系统的主要目标,我们将探索采用混合技术,这种技术比任何技术本身都更能面对空间应用中出现的问题。例如,在使用经验性非侵入性监测的概念方面开展的工作非常有限,这种监测推动在潜在不利环境(如太空)中运行的嵌入式机器人系统的自我修复过程。本项目将对此进行探索。另一个要解决的主要因素是安全通信。通信安全在空间应用中至关重要。科学影响和与之相关的投资实在太大了,不能冒险未经授权闯入卫星或航天器,或远程乘坐月球车乘坐喜悦乘坐的星球。虽然数据加密技术现在高度复杂和成熟,但当无法绝对保证加密密钥的安全性时,加密本身不一定能防止欺诈性数据操纵。因此,此外,该方案还将探讨加强合作伙伴之间现有的重大研究合作,直接从数字系统的特性(ICmetrics,这个术语最初来自NASA喷气推进实验室)获得加密密钥。此外,使用脑机接口技术控制外部设备的可能性可能会对未来太空任务的战略计划产生巨大影响。事实上,欧空局和喷气推进实验室都对这一领域感兴趣。埃塞克斯历来在这一领域处于领先地位。埃塞克斯BCI小组是欧洲航天局2006年签约的三个伙伴机构之一,负责对非侵入性BCI进行批判性审查,并展望未来的空间应用前景。这项研究是此类研究中的第一项。此后,一些研究探索了在空间应用中使用脑机接口的可能性。在这个项目中,我们将与一支由BCI研究人员、计算机科学家和空间专家组成的顶尖研究团队探索一些途径。

项目成果

期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Using discriminant analysis to detect intrusions in external communication for self-driving vehicles
使用判别分析检测自动驾驶车辆外部通信的入侵
Integral Images: Efficient Algorithms for Their Computation and Storage in Resource-Constrained Embedded Vision Systems
积分图像:资源受限的嵌入式视觉系统中计算和存储的高效算法
  • DOI:
    10.48550/arxiv.1510.05138
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ehsan S
  • 通讯作者:
    Ehsan S
Rapid Online Analysis of Local Feature Detectors and Their Complementarity
局部特征检测器的快速在线分析及其互补性
  • DOI:
    10.48550/arxiv.1510.05145
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ehsan S
  • 通讯作者:
    Ehsan S
A Generic Framework for Assessing the Performance Bounds of Image Feature Detectors
评估图像特征检测器性能界限的通用框架
  • DOI:
    10.3390/rs8110928
  • 发表时间:
    2016
  • 期刊:
  • 影响因子:
    5
  • 作者:
    Ehsan S
  • 通讯作者:
    Ehsan S
Intelligent intrusion detection in external communication systems for autonomous vehicles
  • DOI:
    10.1080/21642583.2018.1440260
  • 发表时间:
    2018-01-01
  • 期刊:
  • 影响因子:
    4.1
  • 作者:
    Alheeti, Khattab M. Ali;McDonald-Maier, Klaus
  • 通讯作者:
    McDonald-Maier, Klaus
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Klaus D McDonald-Maier其他文献

Klaus D McDonald-Maier的其他文献

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{{ truncateString('Klaus D McDonald-Maier', 18)}}的其他基金

Security and PrIvacy foR the Internet of Things (SPIRIT)
物联网安全和隐私 (SPIRIT)
  • 批准号:
    EP/P016006/1
  • 财政年份:
    2017
  • 资助金额:
    $ 60.37万
  • 项目类别:
    Research Grant
Adaptive Development Support for Future Systems-on-Chip (ADS-SoC)
对未来片上系统 (ADS-SoC) 的自适应开发支持
  • 批准号:
    EP/I500952/1
  • 财政年份:
    2011
  • 资助金额:
    $ 60.37万
  • 项目类别:
    Research Grant

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