Autonomous robotics in noisy and delayed environments

嘈杂和延迟环境中的自主机器人

• 批准号: RGPIN-2016-04635
• 负责人: Givigi, Sidney
• 金额: $ 2.62万
• 依托单位: Royal Military College of Canada
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=637413
• 关键词: Autonomous; robotics; noisy; delayed; environments

This research aims to develop the methods and processes that enable the development and deployment of autonomous robots in all environments wherein robots can contribute to safety and productivity, especially in time-delayed environments. The time delay comes from several different sources as sensors, computation, actuators, communication and interactions among different parts of the system, especially robot to robot (or agent to agent) interaction. We are primarily interested in the case of on-line real-time learning applied to multi-robot environments in which emergence of individual and group behaviours in collectives of robots arise and in which time-delays could lead to different, or even unstable, behaviours, individually or collectively.

该研究旨在开发能够在所有环境中开发和部署自主机器人的方法和流程，其中机器人可以有助于安全和生产力，特别是在延时环境中。时间延迟来自几个不同的来源，如传感器，计算，执行器，通信和系统不同部分之间的交互，特别是机器人到机器人（或代理到代理）的交互。我们主要感兴趣的情况下，在线实时学习应用于多机器人环境中出现的个人和群体行为的机器人集体出现，并在其中的时间延迟可能会导致不同的，甚至不稳定的行为，单独或集体。