AI control system for upper-limb prosthetic device
AI control system for upper-limb prosthetic device
批准号:
10045926
负责人:
金额:
$3.19万
依托单位:
依托单位国家:
英国
项目类别:
Grant for R&D
财政年份:
2022
资助国家:
英国
项目状态:
已结题
起止时间:
2022 至 --
中文摘要
Axonnr是一家专注于开发技术以改善他人生活的机器人公司。利用我们在人工智能和机器人技术方面的专业知识,我们正在不知疲倦地开发新的假肢技术,这项技术将为人们带来希望,他们曾经认为失去的运动可以被取代。Axonnr将努力提供技术、软件、研究和开发,彻底改变和推进机器人假肢领域。Axonnr的目标是在使用机器人和人工智能来实现假肢和其他形式的医疗技术的现代化方面处于领先地位,以解决曾经被认为不可能解决的问题。我们是一家小公司,目标是要掀起波澜。我们的项目致力于创建一个新的控制系统,这将为临床医生提供机会,利用机器人和人工智能的最新发展来改善目前上肢假肢设备的功能。包含所有必要的处理硬件和软件,控制系统与临床医生现有的设备相结合,将允许患者利用我们定制的大脑启发框架,在他们的设备上创造更自然、更逼真的动作。我们正在努力使我们的控制系统与经桡骨截肢者(肘部以下截肢)使用的假肢设备兼容,使他们能够在假肢设备上无缝地复制多关节运动。我们的核心技术将利用人工智能芯片的优势,使我们能够将这种控制系统带给英国和爱尔兰的临床医生。该芯片将通过处理由个体肌肉产生的信号,并识别这些信号中的模式,在控制系统中发挥作用,这些信号由我们的电极传感器非侵入性地捕获。这些模式将代表典型手部运动的特征信号,这可以通过使用我们将部署在芯片上的底层人工智能框架来实现。使用这种模式识别功能,这将允许实时捕获的信号映射到运动,然后可以在假手上复制。我们将为临床医生和患者提供的技术将是创新的,因为它将是第一个利用人工智能新发展所带来的收益的假肢设备,它将展示一种利用人工智能推进假肢技术的新方法。我们的技术将大大提高性能和提高功率效率,同时保持价格合理和可用。
英文摘要
Axonnr is a robotics company focussed solely on the primary goal of developing technology to improve the lives of others. Using our expertise in Artificial Intelligence and Robotics we are working tirelessly towards delivering new prosthetic technology, a technology which will offer individuals the hope that the movement they thought once lost can be replaced. Axonnr will strive to provide the technology, software, research and developments that revolutionise and advance the robotics prosthetics space. Axonnr will aim to lead the way in using robotics and AI to modernise the delivery of prosthetics and other forms of medical technology to solve issues once deemed impossible to fix. We are a small company that aim to make big waves.Our project is devoted towards the creation of a new control system that will provide clinicians with the opportunity to wield the latest developments in robotics and AI to improve current upper-limb prosthetic device functionality. Encompassing all the necessary processing hardware and software, the control system in combination with a clinicians existing device, will allow patients to utilise our bespoke brain-inspired framework to create more natural and life-like movements on their device. We are working towards making our control system compatible with prosthetic devices used by a transradial amputee (below-elbow amputation) allowing them to replicate multi-articulating movements on their prosthetic device seamlessly.Our core technology will exploit the benefits of using an AI focussed chip enabling us to bring this control system to clinicians across the UK and Ireland. The chip will function within the control system by processing the signals produced by an individuals muscles, which are non-invasively captured by our electrode sensors, and identifying patterns within these signals. The patterns would represent signals that are characteristic of typical hand movements and this is made achievable by using our underlying AI framework that will be deployed on the chip. Using this pattern recognition functionality, this will allow signals captured in real-time to be mapped to movements which can then be replicated on the prosthetic hand.The technology we will offer clinicians and to patients will be innovative as it will be the first prosthetic device leveraging the gains offered from new developments in AI and it will showcase a new methodology for using AI to advance prosthetic technology. Our technology will result in greatly improved performance and increased power efficiency yet remain affordable and available.
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