ART-GCS: an adaptive real-time multi-agent ground control station
Authors: 
Juan A. Bonache-Seco, José A. Lopez-Orozco, Eva Besada-Portas, José L. Risco-MartínAuthors Info & Claims
Juan A. Bonache-Seco, José A. Lopez-Orozco, Eva Besada-Portas, José L. Risco-MartínAuthors Info & ClaimsArticle No.: 13, Pages 1 - 12
Abstract
Ground Control Stations (GCS) are essential tools to monitor and command real-world complex missions involving Unmanned Vehicles (UVs). As the number and types of UVs in the mission grows, implementing a robust and adaptable GCS, capable of simplifying and reducing operator' interactions and mental workloads, becomes an engineering challenge. To address it, this paper presents a new Adaptive-Real-Time (ART)-GCS that 1) allows to monitor and control a runtime changing number of heterogeneous UVs, 2) adapt its GUI to the mission requirements and operators workload to minimize their fatigue and stress, and 3) provide support to experiments with actual and simulated UVs. To show its benefits in real-world missions, this paper presents a field experiment where, for safety reasons, a simulated unmanned aerial vehicle has to find an oil-spill that must be enclosed by a containment boom dragged by two real unmanned surface vehicles.
References
[1]
Amoui, M., M. Derakhshanmanesh, J. Ebert, and L. Tahvildaria. 2012. "Achieving dynamic adaptation via management and interpretation of runtime models". Journal of Systems and Software.
[2]
Bonache-Seco, J., J. Lopez-Orozco, E. Besada-Portas, and J. L. Risco-Martín. 2018. "Adaptive Event Driven Framework for Real Time Multi-Agent Missions". 22nd IEEE/ACM International Symposium on Distributed Simulation and Real-Time Applications (DS-RT 2018).
[3]
Bürkle, A., F. Segor, M. Kollmann, and R. Schönbein. 2011. "Universal Ground Control Station for Heterogeneous Sensors". Journal On Advances in Telecommunications, IARIA vol. 3 (3), pp. 152--161.
[4]
Chen, J., K. Procci, M. Boyce, J. Wright, A. Garcia, and M. Barnes. 2014. "Situation awareness-based agent transparency(No. ARL-TR-6905)".
[5]
Cheng, S.-W., D. Garlan, and B. Schmerl. 2006, May. "Architecture-based Self-Adaptation in the Presence of Multiple Objectives". SEAMS 06 Proceedings of the 2006 international workshop on Self-adaptation and self-managing systems, pp. 2--8.
[6]
de la Cruz, J. M., J. A. Lopez-Orozco, E. Besada-Portas, and J. Aranda-Almansa. 2015. "A streamlined nonlinear path following kinematic controller". In 2015 IEEE International Conference on Robotics and Automation (ICRA), pp. 6394--6401. IEEE.
[7]
E. M. Dashofy, A. van der Hoek, R. N. T. 2002. "Towards architecture-based self-healing systems". WOSS '02 Proceedings of the first workshop on Self-healing systems.
[8]
Etzion, O. 2005. "Towards an Event-Driven Architecture: An Infrastructure for Event Processing Position Paper". Lecture Notes in Computer Science book series (LNCS, volume 3791).
[9]
Filipponi, L., A. Vitaletti, G. Landi, V. Memeo, G. Laura, and P. Pucci. 2010. "Smart City: An Event Driven Architecture for Monitoring Public Spaces with Heterogeneous Sensors". Fourth International Conference on Sensor Technologies and Applications (SENSORCOMM).
[10]
Garlan, D., S.-W. Cheng, A.-C. Huang, B. Schmerl, and P. Steenkiste. 2004, October. "Rainbow: Architecture-Based Self-Adaptation with Reusable Infrastructure". Computer (IEEE Computer Society) vol. 7 (Issue: 10 ), pp. 48--54.
[11]
Hallsteinsen, S., K. Geihs, N. Paspallis, F. Eliassen, G. Horn, J. Lorenzo, A. Mamelli, and G. Papadopoulos. 2012. "A development framework and methodology for self-adapting applications in ubiquitous computing environments". Journal of Systems and Software.
[12]
Heo, J., S. Kim, and Y. Kwon. 2016. "Design of Ground Control Station for Operation of Multiple Combat Entities". Journal of Computer and Communications vol. 4, pp. 66--71.
[13]
Hong, W. E., J. S. Lee, L. Rai, and S. J. Kang. 2005. "RT-Linux based hard real-time software architecture for unmanned autonomous helicopters". 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA'05).
[14]
Jovanovic, M., and D. Starcevic. 2010. "Software Architecture for Ground Control Station for Unmanned Aerial Vehicle". 2010 36th EUROMICRO Conference on Software Engineering and Advanced Applications.
[15]
Jovanovic, M., D. Starcevic, and Z. Jovanovic. 2008. "Improving Design of Ground Control Station for Unmanned Aerial Vehicle: Borrowing from Design Patterns". Tenth International Conference on Computer Modeling and Simulation (uksim 2008).
[16]
Laddaga, R., and P. Robertson. 2004. "Self adaptive software: A position paper". In SELF-STAR: International Workshop on Self-<sup>*</sup> Properties in Complex Information Systems, Volume 31, pp. 19. Citeseer.
[17]
Lindemuth, M., R. Murphy, E. Steimle, W. Armitage, K. Dreger, T. Elliot, M. Hall, D. Kalyadin, J. Kramer, M. Palankar, K. Pratt, and C. Griffin. 2011, June. "Sea Robot-Assisted Inspection". IEEE Robotics Automation Magazine vol. 18 (2), pp. 96--107.
[18]
Mercado, J. E., M. A. Rupp, J. Y. C. Chen, M. J. Barnes, D. Barber, and K. Procci. 2016. "Intelligent Agent Transparency in Human-Agent Teaming for Multi-UxV Management". Human Factors vol. 58 (3), pp. 401--415.
[19]
Michelson, B. M. 2006. "Event-Driven Architecture Overview". Patricia Seybold Group Research Service (2006).
[20]
Murphy, R. R., E. Steimle, C. Griffin, C. Cullins, M. Hall, and K. Pratt. 2008. "Cooperative use of unmanned sea surface and micro aerial vehicles at hurricane Wilma". Journal of Field Robotics vol. 25, pp. 164--180.
[21]
Oreizy, P., M. M. Gorlick, and R. N. Taylor. 1999. "An architecture-based approach to self-adaptive software". Intelligent Systems and their applications vol. 14 (3).
[22]
Patterson, M. C., A. Mulligan, and F. Boiteux. 2013. "Safety and security applications for micro-unmanned surface vessels". In 2013 OCEANS-San Diego, pp. 1--6. IEEE.
[23]
Ribas, D., N. Palomeras, P. Ridao, M. Carreras, and A. Mallios. 2012. "Girona 500 auv: From survey to intervention". IEEE ASME Transactions on Mechatronics vol. 17 (1), pp. 46--53.
[24]
Sutton, R., S. Sharma, and T. Xao. 2011. "Adaptive navigation systems for an unmanned surface vehicle". Journal of Marine Engineering and Technology vol. 10, pp. 3--20.
Recommendations
Adaptive event driven framework for real time multi-agent missions
DS-RT '18: Proceedings of the 22nd International Symposium on Distributed Simulation and Real Time ApplicationsA Ground Control Station (GCS) is an essential element to supervise and control autonomous vehicles performing complex missions in real time. In the new era of Internet of Things, where systems are highly connected, these missions demand enormous ...
Trajectory-based mission planner for multiple RPAS
HCI-Aero '14: Proceedings of the International Conference on Human-Computer Interaction in AerospaceThe extent to which Remotely Piloted Aircraft Systems (RPAS) are able to autonomously perform basic navigation and flight control tasks currently increases through ongoing technological advances. These novel systems and the increased mission scenario ...
Ground Control Station Development for Autonomous UAV
Intelligent Robotics and ApplicationsAbstractUnmanned Aerial Vehicle (UAV) has typically been used in civil and military field all over the world. Based on the UAV mission of autonomous flight, the ground control station (GCS) including hardware and software become important equipment to be ...
Comments
Information & Contributors
Information
Published In
April 2019
324 pages
Publisher
Society for Computer Simulation International
San Diego, CA, United States
Publication History
Published: 29 April 2019
Author Tags
Qualifiers
- Research-article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 162Total Downloads
- Downloads (Last 12 months)54
- Downloads (Last 6 weeks)8
Reflects downloads up to 12 Nov 2024
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in