Supervised autonomy for AUVs using limited bandwidth communication channels

使用有限带宽通信通道对 AUV 进行监督自主

• 批准号: LP150101135
• 负责人: Prof Stefan Williams
• 金额: $ 21.89万
• 依托单位: The University of Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2016
• 资助国家: 澳大利亚
• 起止时间: 2016-06-21 至 2019-08-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP150101135
• 关键词: Supervised; autonomy; AUVs; using; limited

This project aims to improve the feedback link between robotic platforms and an operator, to increase the effectiveness of underwater survey operations. During surveys, some level of adaptation is required to allow underwater robots to respond to the data they are collecting. It is often difficult to reliably program an autonomous system to identify salient data, particularly when the mission involves searching for particular features whose sensor signatures may be difficult to determine a priori. In contrast, humans are generally good at quickly identifying important data or determining when a mission is not achieving its goals. The project aims to develop novel acoustic communication schemes that will allow communication between the human operator and the underwater robot, exploiting developments in machine learning, network and communication theory.

该项目旨在改善机器人平台和操作员之间的反馈联系，以提高水下调查作业的效率。在调查过程中，需要一定程度的适应才能使水下机器人对它们收集的数据做出反应。通常很难可靠地编程一个自主系统来识别重要数据，特别是当任务涉及搜索特定特征时，其传感器特征可能难以先验地确定。相比之下，人类通常擅长快速识别重要数据或确定任务何时没有实现目标。该项目旨在开发新的声学通信方案，利用机器学习、网络和通信理论的发展，实现人类操作员和水下机器人之间的通信。