Conference proceeding
Sensor selection and placement for failure diagnosis in networked aerial robots
2006 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), VOLS 1-10, v 2006, pp 2182-2187
01 Jan 2006
Abstract
Unmanned aerial vehicles (UAVs) represent an importantclass of networked robotic applications that must be both highly-dependable and autonomous. This paper addresses sensor selection and placement problems for distributed failure diagnosis in such networks where multiple vehicles must agree on the fault status of another UAV. An integer linear programming (ILP) approach is proposed to solve these problems. The ILP models of interest are developed and solved using two different solvers. Experimental results indicate that the proposed models are tractable for medium-sized topologies.
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Details
- Title
- Sensor selection and placement for failure diagnosis in networked aerial robots
- Creators
- Nagarajan Kandasamy - Drexel University, Electrical and Computer EngineeringFadi A. Aloul - Amer Univ Sharjah, Comp Engn Dept, Sharjah, U Arab EmiratesT. John Koo - Vanderbilt Univ, Dept EECS, Nashville, TN USA
- Publication Details
- 2006 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), VOLS 1-10, v 2006, pp 2182-2187
- Series
- IEEE International Conference on Robotics and Automation ICRA
- Publisher
- IEEE
- Number of pages
- 6
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000240886904060
- Scopus ID
- 2-s2.0-33845636573
- Other Identifier
- 991014632207704721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Automation & Control Systems
- Computer Science, Artificial Intelligence
- Engineering, Mechanical
- Robotics