Blackboard Architecture for Detecting and Notifying Failures for Component-Based Unmanned Systems-Reference-Cited by-同舟云学术

Blackboard Architecture for Detecting and Notifying Failures for Component-Based Unmanned Systems

Published:2017-10-17 Issue:3-4 Volume:90 Page:571-585
ISSN:0921-0296
Container-title:Journal of Intelligent & Robotic Systems
language:en
Short-container-title:J Intell Robot Syst

Author:

Shin Michael E.,Kang Taeghyun,Kim Sunghoon

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Industrial and Manufacturing Engineering,Mechanical Engineering,Control and Systems Engineering,Software

Link

http://link.springer.com/article/10.1007/s10846-017-0677-4/fulltext.html

Reference39 articles.

1. Gomaa, H.: Designing Concurrent, Distributed, and Real-Time Applications with UML. Addison-Wesley Inc., Boston, Reading (2000)

2. Pfleeger, S.L., Atlee, J.M.: Software engineering theory and practice, 3rd edn. Prentice-Hall, Englewood Cliffs (2006)

3. Crnkovic, I.: Component-Based Approach for Embedded Systems. IEEE Press, New York (2004)

4. Brugali, D., Scandurra, P.: Component-based robotic engineering. IEEE Robot. Autom. Mag. 16(4), 84–96 (2009)

5. Jackson, J.: Microsoft robotics studio: a technical introduction. IEEE Robot. Autom. Mag. 14(4), 82–87 (2007)

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ASTS: Autonomous switching of task-level strategies;International Journal of Applied Mathematics and Computer Science;2023

2. A Partially Observable Markov Decision Process-Based Blackboard Architecture for Cognitive Agents in Partially Observable Environments;IEEE Transactions on Cognitive and Developmental Systems;2020

3. Automatic Difficulty Management and Testing in Games using a Framework Based on Behavior Trees and Genetic Algorithms;2019 24th International Conference on Engineering of Complex Computer Systems (ICECCS);2019-11