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.

保持关键行业（例如可再生能源和令人愉快的能源）的竞争力和领导地位，取决于AI和机器人技术，越来越多地成为相关技术景观的广泛和不可或缺的一部分，尤其是在面对钢铁劳动力短缺的情况下。 ARISE项目旨在围绕可重新配置的机器人操纵器引入感知和控制模块的组合，这将使复杂的操作任务的自动化水平进行步骤更改。 ARISE将完成以下关键的新型技术组件，这些组件将在自动任务细分，人体机器人的互动和复杂的操作方面显着推动艺术的状态：（1）两个可重构气动的机器人操作器安装在移动机器人平台上（2）可变的刚性刚度的新型软件（3）机器人的可变型（3），3 3）算法（4）一个本地化和映射模块，该模块将使机器人能够准确地确定其在环境中的位置（5）通过理解算法的场景（6）启动的语义映射模块（6）将捕获有关对象的重要信息的知识表示框架（7），该框架的属性和关系（7）是从人类的层次启发框架（7），以使人类的复杂任务（7）构成了人类的步入式，并实现了人类的步入式，该框架的过程（8规划模块启用反应性机器人控制（9）一个边缘-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。 ARISE工具链将在5个实际用例场景中进行集成和验证，包括分别在太阳能和水培农场中的安装和维修，移植和收获任务。