Title :
A Low-Complexity Navigation Algorithm for a Scalable Autonomous Fire fighting Vehicle
Author :
Harwayne-Gidansky, Jared ; Sudano, Michael
Author_Institution :
Cooper Union for the Advancement of Sci. & Art, New York
Abstract :
The design and implementation of a low cost, scalable autonomous vehicle that detects, approaches, and extinguishes a heat source while avoiding obstacles in its path is presented. This design was implemented by using a low- complexity, deterministic algorithm. The algorithm, in addition to being scalable, has minimal hardware requirements. The completed robot is a proof of concept prototype, to demonstrate the reliability of using this algorithm in autonomous robots for combating a variety of fires.
Keywords :
collision avoidance; deterministic algorithms; fires; mobile robots; service robots; low-complexity deterministic algorithm; low-complexity navigation; obstacle acoidance; scalable autonomous firefighting vehicle; scalable autonomous vehicle; Feature extraction; Fires; Image classification; Mobile robots; Navigation; Petroleum; Remotely operated vehicles; Research and development; Robustness; Spraying; Control Systems; Deterministic Algorithms; Mechatronics; Mobile Robot Motion-Planning; Robot Sensing Systems;
Conference_Titel :
Research and Development, 2007. SCOReD 2007. 5th Student Conference on
Conference_Location :
Selangor, Malaysia
Print_ISBN :
978-1-4244-1469-7
Electronic_ISBN :
978-1-4244-1470-3
DOI :
10.1109/SCORED.2007.4451376
