Mobile Robotics: Enabling a Pervasive Technology of the Future

移动机器人：实现未来的普及技术

• 批准号: EP/M019918/1
• 负责人: Paul Newman
• 金额: $ 636.03万
• 依托单位: University of Oxford
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2015
• 资助国家: 英国
• 起止时间: 2015 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FM019918%2F1
• 关键词: Mobile; Robotics; Enabling; Pervasive; Technology

VISION: To create, run and exploit the world's leading research programme in mobile autonomy addressing fundamental technical issues which impede large scale commercial and societal adoption of mobile robotics.AMBITION: We need to build better robots - we need them to be cheap, work synergistically with people in large, complex and time-changing environments and do so for long periods of time. Moreover, it is essential that they are safe and trusted. We are compelled as researchers to produce the foundational technologies that will see robots work in economically and socially important domains. These motivations drive the science in this proposal. STRATEGY: Robotics is fast advancing to a point where autonomous systems can add real value to the public domain. The potential reach of mobile robotics in particular is vast, covering sectors as diverse as transport, logistics, space, defence, agriculture and infrastructure management. In order to realise this potential we need our robots to be cheap, work synergistically with people in large, complex and time-changing environments and do so robustly for long periods of time. Our aim, therefore, is to create a lasting, catalysing impact on UKPLC by growing a sustainable centre of excellence in mobile autonomy. A central tenet to this research is that the capability gap between the state of the art and what is needed is addressed by designing algorithms that leverage experiences gained through real and continued world use. Our machines will operate in support of humans and seamlessly integrate into complex cyber-physical systems with a variety of physical and computational elements. We must, therefore, be able to guarantee, and even certify, that the software that controls the robots is safe and trustworthy by design. We will engage in this via a range of flagship technology demonstrators in different domains (transport, logistics, space, etc.), which will mesh the research together, giving at once context, grounding, validation and impact.

愿景：创建、运行和利用世界领先的移动的自主研究项目，解决阻碍移动的机器人技术大规模商业化和社会化应用的基本技术问题。抱负：我们需要制造更好的机器人--我们需要它们价格低廉，能够在大型、复杂和时变的环境中与人协同工作，并且能够长时间工作。此外，它们必须是安全和值得信赖的。作为研究人员，我们被迫开发基础技术，使机器人能够在经济和社会重要领域发挥作用。这些动机推动了这项提议的科学性。策略：机器人技术正在快速发展，自主系统可以为公共领域增加真实的价值。特别是移动的机器人技术的潜在应用范围非常广泛，涵盖了运输、物流、航天、国防、农业和基础设施管理等各个领域。为了实现这一潜力，我们需要我们的机器人便宜，在大型，复杂和时变的环境中与人协同工作，并长时间稳定地工作。因此，我们的目标是通过发展移动的自治的可持续卓越中心，对UKPLC产生持久的催化作用。这项研究的一个中心原则是，通过设计算法来解决最先进的技术和所需的技术之间的能力差距，这些算法利用了通过真实的和持续的世界使用获得的经验。我们的机器将支持人类的运行，并无缝集成到具有各种物理和计算元素的复杂网络物理系统中。因此，我们必须能够保证，甚至证明，控制机器人的软件在设计上是安全可靠的。我们将通过不同领域（运输、物流、空间等）的一系列旗舰技术示范者参与其中，它将把研究结合在一起，同时给出背景、基础、验证和影响。

项目成果

ArXiv e-prints

ArXiv 电子印刷品

• 发表时间: 2017
• 期刊: Geometric Multi-Model Fitting with a Convex Relaxation Algorithm
• 作者: Amayo P

Rational verification: game-theoretic verification of multi-agent systems

理性验证：多智能体系统的博弈论验证

• DOI: 10.1007/s10489-021-02658-y
• 发表时间: 2021
• 期刊: Applied Intelligence
• 影响因子: 5.3
• 作者: Abate A

What goes around: leveraging a constant-curvature motion constraint in radar odometry

发生了什么：利用雷达里程计中的恒定曲率运动约束

• 发表时间: 2022
• 期刊: IEEE Robotics and Automation Letters, 7(3), 7865-7872
• 作者: Aldera R

Approximate Policy Iteration for Markov Decision Processes via Quantitative Adaptive Aggregations

通过定量自适应聚合进行马尔可夫决策过程的近似策略迭代

• 发表时间: 2016
• 作者: Abate A

A unified representation for application of architectural constraints in large-scale mapping

大规模测绘中架构约束应用的统一表示

• DOI: 10.1109/icra.2016.7487267
• 发表时间: 2016
• 作者: Amayo P