Advanced AI and RobotIcS for autonomous task pErformance

先进的人工智能和机器人控制系统可实现自主任务执行

• 批准号: 10110390
• 金额: $ 62.5万
• 依托单位: UNIVERSITY OF ESSEX
• 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=10110390
• 关键词: Advanced; AI; RobotIcS; autonomous; task

Maintaining the competitiveness and leadership position of crucial industries such as renewable energy and agriculture, is contingent upon AI and Robotics increasingly becoming a widespread and integral part of the relevant technological landscapes, particularly in the face of steep labour shortages. ARISE project aims to introduce a combination of perception and control modules around a reconfigurable robotic manipulator that will enable a step change in the level of automation of complex manipulation tasks. ARISE will comprise the following key novel technology components that will significantly push the state of the art in terms of automatic task segmentation, human robot interaction and complex manipulation: (1) Two reconfigurable pneumatic-based robotic manipulators mounted on a mobile robotic platform (2) Novel soft end-effectors with variable stiffness that will allow for a diverse set of manipulation tasks (3) A Robotic perception module comprising 3D vision algorithms (4) A Localisation and Mapping module that will allow the robot to accurately identify its position within the environment (5) A Semantic Mapping module powered by scene understanding algorithms (6) A Knowledge Representation framework that will capture important information regarding objects’ properties and relationships (7) A Hierarchical Imitation Learning framework for acquiring robotic skills to accomplish complex tasks directly from human demonstrators (8) A Human-Interaction conditioned Path and Task planning module enabling reactive robot control (9) An edge-AI framework for deploying Machine Learning models and computer vision algorithms at the edge in a streamlined fashion. The ARISE toolchain will be integrated and validated in 5 real use case scenarios including installation and repair, and transplanting and harvesting tasks, in solar and hydroponic farms, respectively.

保持可再生能源和农业等关键行业的竞争力和领先地位，取决于人工智能和机器人日益成为相关技术格局中广泛和不可或缺的一部分，特别是在劳动力严重短缺的情况下。Rise项目旨在围绕可重新配置的机器人机械手引入感知和控制模块的组合，这将使复杂操作任务的自动化水平发生阶段性变化。RISE将包括以下关键的新颖技术组件，这些组件将显著推动自动任务分割方面的技术水平，人类机器人交互和复杂操作：(1)安装在移动机器人平台上的两个可重构的基于气动的机器人操作器(2)具有可变刚度的新型柔性末端执行器，将允许执行各种操作任务(3)包括3D视觉算法的机器人感知模块(4)使机器人能够准确地识别其在环境中的位置的定位和映射模块(5)由场景理解算法支持的语义映射模块(6)将捕获关于对象的属性和关系的重要信息的知识表示框架(7)用于获取机器人技能的分层模仿学习框架直接从人类演示者完成复杂任务(8)支持反应式机器人控制的人机交互条件路径和任务规划模块(9)边缘-AI框架，用于以简化的方式在边缘部署机器学习模型和计算机视觉算法。ARSE工具链将分别在太阳能和水培农场的安装和修复以及移植和收获任务等5个实际用例场景中进行集成和验证。