Physical Intelligence for Smart and Safe Human-Robot Interaction (SESTOSENSO)

用于智能安全人机交互的物理智能 (SESTOSENSO)

• 批准号: 10037855
• 金额: $ 49.69万
• 依托单位: UNIVERSITY OF OXFORD
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10037855
• 关键词: Physical; Intelligence; Smart; Safe; Human

Sestosenso develops technologies for the next generations of collaborative robots capable of self-adapting to different time-varying operational conditions and capable of safe and smooth adaptation from autonomous to interactive when human intervention is required either for collaboration or training/teaching. The project proposes a new sensing technology from the hardware and up to the cognitive perception and control levels, based on proximity and tactile sensors embedded in the robot body, providing a unified proxy-tactile perception of the environment, required to control the robot's actions and interactions, safely and autonomously. Sestosenso is motivated by the industrial need to integrate workers with robots and the need for robots that could operate safely without out-of-the-robot infrastructure, thus reducing robot setup times and costs and increasing the flexibility of the shopfloor configuration. The Sestosenso technology is demonstrated by three Use Cases of industrial interest: cooperative assembly (automotive), handling and packaging (logistics), and cooperative harvesting (agriculture).

Sestosenso为下一代协作机器人开发技术，这些机器人能够自适应不同的时变操作条件，并且能够在需要人为干预进行协作或培训/教学时，安全平稳地从自主适应到交互。该项目提出了一种新的传感技术，从硬件到认知感知和控制水平，基于嵌入在机器人身体中的接近和触觉传感器，提供对环境的统一代理触觉感知，需要控制机器人的动作和交互，安全和自主。Sestosenso的动机是将工人与机器人集成在一起的工业需求，以及对机器人的需求，这些机器人可以在没有机器人基础设施的情况下安全运行，从而减少机器人设置时间和成本，并提高车间配置的灵活性。Sestosenso技术通过三个工业利益的用例来展示：合作装配（汽车），处理和包装（物流）以及合作收获（农业）。