Semantic knowledge-based representation for improving situation awareness in service oriented agents of autonomous underwater vehicles

Author(s):  
Pedro Patron ◽  
Emilio Miguelanez ◽  
Joel Cartwright ◽  
Yvan R. Petillot
2011 ◽  
Vol 23 (5) ◽  
pp. 759-773 ◽  
Author(s):  
Emilio Miguelanez ◽  
Pedro Patron ◽  
Keith E. Brown ◽  
Yvan R. Petillot ◽  
David M. Lane

2009 ◽  
Vol 43 (4) ◽  
pp. 76-84 ◽  
Author(s):  
Richard Camilli ◽  
Brian S. Bingham ◽  
Michael V. Jakuba ◽  
Anthony N. Duryea ◽  
Rand LeBouvier ◽  
...  

AbstractThis technical paper describes existing capabilities and new research results for autonomous underwater vehicles (AUVs) for use in locating, characterizing, and monitoring underwater munitions. The authors introduce advances in sensor technologies and search methods pertinent to AUV-based underwater munition mitigation operations. Results are presented from a series of trials using in situ chemical sensors to detect both conventional and nonconventional underwater munitions in real time. These technologies are considered within the context of chemical plume tracing and biomimetic search algorithms. This paper concludes with a look toward future AUV sensor payloads with more extensive real-time situation awareness. Advancement of these technologies and methods will be critical for realizing the potential of AUV platforms to manage the risks posed by underwater munitions sites.


Procedia CIRP ◽  
2021 ◽  
Vol 97 ◽  
pp. 373-378
Author(s):  
Sharath Chandra Akkaladevi ◽  
Matthias Plasch ◽  
Michael Hofmann ◽  
Andreas Pichler

Robotica ◽  
2021 ◽  
pp. 1-27
Author(s):  
Taha Elmokadem ◽  
Andrey V. Savkin

Abstract Unmanned aerial vehicles (UAVs) have become essential tools for exploring, mapping and inspection of unknown three-dimensional (3D) tunnel-like environments which is a very challenging problem. A computationally light navigation algorithm is developed in this paper for quadrotor UAVs to autonomously guide the vehicle through such environments. It uses sensors observations to safely guide the UAV along the tunnel axis while avoiding collisions with its walls. The approach is evaluated using several computer simulations with realistic sensing models and practical implementation with a quadrotor UAV. The proposed method is also applicable to other UAV types and autonomous underwater vehicles.


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