EPSRC Centre for Doctoral Training in Robotics and Autonomous Systems (CDT-RAS)
EPSRC 机器人和自主系统博士培训中心 (CDT-RAS)
基本信息
- 批准号:EP/S023208/1
- 负责人:
- 金额:$ 914.2万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Training Grant
- 财政年份:2019
- 资助国家:英国
- 起止时间:2019 至 无数据
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Robots and autonomous systems (RAS) will revolutionise the world's economy and society for the foreseeable future, working for us, beside us and interacting with us. The UK urgently needs graduates with the technical skills and industry awareness to create an innovation pipeline from academic research to global markets. Key application areas include manufacturing, construction, transport, offshore energy, defence, and health and well-being. The recent Industrial Strategy Review set out four Grand Challenges that address the potential impact of RAS on the economy and society at large. Meeting these challenges requires the next generation of graduates to be trained in key enabling techniques and underpinning theories in RAS and AI and be able to work effectively in cross-disciplinary projects.The proposed overarching theme of the CDT-RAS can be characterised as 'safe interactions'. Firstly, robots must safely interact physically with environments, requiring compliant manipulation, active sensing, world modelling and planning. Secondly, robots must interact safely with people either in face-to-face natural dialogue or through advanced, multimodal interfaces. Thirdly, key to safe interactions is the ability for introspective condition monitoring, prognostics and health management. Finally, success in all these interactions depends on foundational interaction enablers such as techniques for vision and machine learning.The Edinburgh Centre for Robotics (ECR) combines Heriot-Watt University and the University of Edinburgh and has shown to be an effective venue for a CDT. ECR combines internationally leading science with an outstanding track record of exploitation, and world class infrastructure with approximately £100M in investment from government and industry including the National ROBOTARIUM. A critical mass of over 50 experienced supervisors cover the underpinning disciplines crucial to RAS safe interaction. With regards facilities, ECR is transformational in the range of robots and spaces that can be experimentally configured to study both the physical interaction through robot embodiment, as well as, in-field remote operations and human-robot teaming. This, combined with supportive staff and access to Project Partners, provides an integrated capability unique in the world for exploring collaborative interaction between humans, robots and their environments. The reputation of ECR is evidenced by the additional support garnered from 31 industry Project Partners, providing an additional 23 studentships and overall additional support of approximately £11M. The CDT-RAS training programme will align with and further develop the highly successful, well-established CDT-RAS four-year PhD programme, with taught courses on the underpinning theory and state of the art and research training, closely linked to career relevant skills in creativity, RI and innovation. The CDT-RAS will provide cohort-based training with three graduate hallmarks: i) advanced technical training with ii) a foundation international experience, and iii) innovation training. Students will develop an assessed learning portfolio, tailored to individual interests and needs, with access to industry and end-users as required. Recruitment efforts will focus on attracting cohorts of diverse, high calibre students, who have the hunger to learn. The single-city location of Edinburgh enables stimulating, cohort-wide activities that build commercial awareness, cross-disciplinary teamwork, public outreach, and ethical understanding, so that Centre graduates will be equipped to guide and benefit from the disruptions in technology and commerce. Our vision for the CDT-RAS is to build on the current success and ensure the CDT-RAS continues to be a major international force that can make a generational leap in the training of innovation-ready postgraduates, who will lead in the safe deployment of robotic and autonomous systems in the real world.
在可预见的未来,机器人和自主系统(RAS)将彻底改变世界经济和社会,为我们工作,在我们身边,与我们互动。英国迫切需要具有技术技能和行业意识的毕业生,以创建从学术研究到全球市场的创新渠道。主要应用领域包括制造业、建筑业、运输业、海上能源、国防以及健康和福祉。最近的《工业战略审查》提出了四大挑战,以应对RAS对整个经济和社会的潜在影响。为了应对这些挑战,下一代毕业生需要接受RAS和AI关键使能技术和基础理论的培训,并能够在跨学科项目中有效工作。CDT-RAS的总体主题可以被描述为“安全交互”。首先,机器人必须安全地与环境进行物理交互,需要顺应性操作,主动传感,世界建模和规划。其次,机器人必须与人安全地互动,无论是面对面的自然对话还是通过先进的多模式界面。第三,安全交互的关键是内省状态监控、自动化和健康管理的能力。最后,所有这些交互的成功取决于基础交互使能器,如视觉和机器学习技术。爱丁堡机器人中心(ECR)结合了赫瑞瓦特大学和爱丁堡大学,已被证明是CDT的有效场所。ECR结合了国际领先的科学与杰出的开发记录,以及世界一流的基础设施,政府和行业投资约1亿英镑,包括国家机器人博物馆。超过50名经验丰富的主管涵盖了RAS安全交互至关重要的基础学科。在设施方面,ECR在机器人和空间范围内具有变革性,可以通过实验配置来研究通过机器人实施例的物理交互,以及现场远程操作和人机协作。再加上支持人员和项目合作伙伴,为探索人类、机器人及其环境之间的协作互动提供了世界上独一无二的综合能力。ECR的声誉得到了来自31个行业项目合作伙伴的额外支持,提供了额外的23个奖学金和大约1100万英镑的额外支持。CDT-RAS培训计划将与非常成功,完善的CDT-RAS四年制博士课程保持一致并进一步发展,该课程将教授基础理论和最先进的研究培训课程,与创造力,RI和创新方面的职业相关技能密切相关。CDT-RAS将提供基于队列的培训,具有三个毕业生标志:i)高级技术培训,ii)基础国际经验,iii)创新培训。学生将开发一个评估的学习组合,根据个人兴趣和需求量身定制,并根据需要访问行业和最终用户。招聘工作将侧重于吸引渴望学习的多样化、高素质的学生。爱丁堡的单一城市的位置,使刺激,群体范围内的活动,建立商业意识,跨学科的团队合作,公共宣传,和道德的理解,使中心的毕业生将有能力指导和受益于技术和商业的中断。我们对CDT-RAS的愿景是在当前成功的基础上再接再厉,确保CDT-RAS继续成为一支主要的国际力量,能够在培养创新准备研究生方面实现一代人的飞跃,他们将在真实的世界中领导机器人和自主系统的安全部署。
项目成果
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其他文献
吉治仁志 他: "トランスジェニックマウスによるTIMP-1の線維化促進機序"最新医学. 55. 1781-1787 (2000)
Hitoshi Yoshiji 等:“转基因小鼠中 TIMP-1 的促纤维化机制”现代医学 55. 1781-1787 (2000)。
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LiDAR Implementations for Autonomous Vehicle Applications
- DOI:
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2021 - 期刊:
- 影响因子:0
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吉治仁志 他: "イラスト医学&サイエンスシリーズ血管の分子医学"羊土社(渋谷正史編). 125 (2000)
Hitoshi Yoshiji 等人:“血管医学与科学系列分子医学图解”Yodosha(涉谷正志编辑)125(2000)。
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Effect of manidipine hydrochloride,a calcium antagonist,on isoproterenol-induced left ventricular hypertrophy: "Yoshiyama,M.,Takeuchi,K.,Kim,S.,Hanatani,A.,Omura,T.,Toda,I.,Akioka,K.,Teragaki,M.,Iwao,H.and Yoshikawa,J." Jpn Circ J. 62(1). 47-52 (1998)
钙拮抗剂盐酸马尼地平对异丙肾上腺素引起的左心室肥厚的影响:“Yoshiyama,M.,Takeuchi,K.,Kim,S.,Hanatani,A.,Omura,T.,Toda,I.,Akioka,
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2901954 - 财政年份:2028
- 资助金额:
$ 914.2万 - 项目类别:
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2896097 - 财政年份:2027
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$ 914.2万 - 项目类别:
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2780268 - 财政年份:2027
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$ 914.2万 - 项目类别:
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2908918 - 财政年份:2027
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2908693 - 财政年份:2027
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2908917 - 财政年份:2027
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$ 914.2万 - 项目类别:
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2879438 - 财政年份:2027
- 资助金额:
$ 914.2万 - 项目类别:
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- 批准号:
2879865 - 财政年份:2027
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$ 914.2万 - 项目类别:
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2890513 - 财政年份:2027
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- 批准号:
2876993 - 财政年份:2027
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$ 914.2万 - 项目类别:
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