WARA-PS: a research arena for public safety demonstrations and autonomous collaborative rescue robotics experimentation

被引：0

作者：

Andersson O. ^{[1
]}

Doherty P. ^{[1
]}

Lager M. ^{[2
]}

Lindh J.-O. ^{[2
]}

Persson L. ^{[3
]}

Topp E.A. ^{[4
]}

Tordenlid J. ^{[5
]}

Wahlberg B. ^{[3
,6
]}

机构：

[1] Department of Computer and Information Science, Linköping University, Linköping

[2] Saab Kockums, Malmö

[3] Division of Decision and Control Systems, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm

[4] Department of Computer Science, Lund University, Lund

[5] Saab Combitech AB, Linköping

[6] Division of Automatic Control, Department of Electrical Engineering, Linköping University, Linköping

来源：

Autonomous Intelligent Systems | / 1卷 / 1期

关键词：

Autonomous drones; Autonomous marine vessels; Autonomous systems; Collaborative robotics; Intelligent system architectures; Public safety and security; Research demonstration arena;

D O I：

10.1007/s43684-021-00009-9

中图分类号：

学科分类号：

摘要：

A research arena (WARA-PS) for sensing, data fusion, user interaction, planning and control of collaborative autonomous aerial and surface vehicles in public safety applications is presented. The objective is to demonstrate scientific discoveries and to generate new directions for future research on autonomous systems for societal challenges. The enabler is a computational infrastructure with a core system architecture for industrial and academic collaboration. This includes a control and command system together with a framework for planning and executing tasks for unmanned surface vehicles and aerial vehicles. The motivating application for the demonstration is marine search and rescue operations. A state-of-art delegation framework for the mission planning together with three specific applications is also presented. The first one concerns model predictive control for cooperative rendezvous of autonomous unmanned aerial and surface vehicles. The second project is about learning to make safe real-time decisions under uncertainty for autonomous vehicles, and the third one is on robust terrain-aided navigation through sensor fusion and virtual reality tele-operation to support a GPS-free positioning system in marine environments. The research results have been experimentally evaluated and demonstrated to industry and public sector audiences at a marine test facility. It would be most difficult to do experiments on this large scale without the WARA-PS research arena. Furthermore, these demonstrator activities have resulted in effective research dissemination with high public visibility, business impact and new research collaborations between academia and industry. © 2021, The Author(s).

引用