Intersubjective AI-driven multimodal interaction for advanced user-centric human robot collaborative applications (Jarvis)

主体间人工智能驱动的多模式交互，用于以用户为中心的高级人类机器人协作应用程序 (Jarvis)

• 批准号: 10099311
• 金额: $ 29万
• 依托单位: B/E AEROSPACE (UK) LIMITED
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10099311
• 关键词: Intersubjective; AI; driven; multimodal; interaction

To strengthen the competitiveness of the EU industry, there is an increasing need for flexible production, exploiting the capabilities of both the machinery and human workforce. The growing market of robots has reacted, adapting to the changing situation by providing collaborative robotic solutions with a variety of characteristicsin terms of payload, type and mobility. A number of technologicalsolutions for perception and safety allow their coexistence with humans. While several research activities have been conducted over the past 5 years on this topic, wider industrial adoption is lagging due to the following restrictions: • Limited cognition and intelligence • Low performance of collaborative operations • Collaboration fluidity is rather low as the operators have to adapt to the particularities of the robots. • Complexity in robot programming which requires the involvement of skilled engineers, does not provide flexibility in the execution phase, and does not benefit from the tacit knowledge of experienced operators. Thus, despite the fact the mechatronics are quite advanced, a perfect matching of mechanics and control is required to create robots that advance from repetitive and precision oriented tasks to becoming intelligent and helpful co-workers. Proper human robot interaction is the most important ground to be covered. Thus, JARVIS aims to develop a reusable set of tools that enable AI driven multimodal means of interaction: a) involving interfaces for physical and remote information exchange, robot control and programming, b) providing social skills to a variety of robots to achieve seamless user-centric interaction that extends human ability for complex tasks and c) demonstrating scalability of application and ability to achieve economies at scale.

为了增强欧盟行业的竞争力，越来越需要灵活生产，利用了机械和人类劳动力的能力。机器人不断增长的市场做出了反应，可以通过在有效载荷，类型和移动性方面提供各种特征来适应不断变化的情况。许多有关感知和安全的技术解决方案允许它们与人类共存。尽管过去5年就该主题进行了几项研究活动，但由于以下限制，广泛的工业采用却滞后：•认知和智力有限•协作运营的绩效较低•协作流动性相当低，因为操作员必须适应机器人的特殊性。 •机器人编程的复杂性，需要熟练的工程师参与，在执行阶段不提供灵活性，并且不会受益于经验丰富的操作员的隐性知识。这是阐明机制非常先进的事实，需要机械师和控制的完美匹配来创建从重复和精确的任务发展，以成为聪明和有益的同事。适当的人体机器人互动是最重要的覆盖理由。这是Jarvis旨在开发可重复使用的工具集，以使AI驱动多模式的互动手段：a）涉及实体和远程信息交换的接口，机器人控制和编程，b）为各种机器人提供社交技能，以实现无缝的用户以用户为中心的交互，从而扩展了具有复杂任务的人体能力，并扩展了实现应用程序和c的可伸缩能力，以实现量表的扩展能力。