DocumentCode
3465724
Title
Autonomous system for exploration and navigation in drift networks
Author
Bakambu, J. Nsasi ; Polotski, V. ; Cohen, P.
Author_Institution
Perception & Robotics Lab., Ecole Polytech., Montreal, Que., Canada
fYear
2004
fDate
14-17 June 2004
Firstpage
212
Lastpage
217
Abstract
This paper describes an autonomous system for exploration and navigation within networks of tunnels, as those typically found in underground mines and caves. In the exploration mode, a remotely located supervisor instructs the system to move through successive sections of the network, gathering range data that is, then, concatenated into 2D/3D survey maps of the environment. In the navigation mode, the supervisor specifies high-level missions on the previously acquired survey maps. A motion planner, then, translates each mission into a set of consecutive navigation actions, separated by natural landmarks. Mission execution consists of detecting landmarks, self-localizing and performing the planned navigation actions.
Keywords
collision avoidance; computerised navigation; mining; mobile robots; telerobotics; 2D-3D survey environment maps; autonomous system; drift networks; high level missions; landmarks detection; mission execution; motion planner; natural landmarks; navigation mode; remotely located supervisor; self localizing planned navigation; tunnel network; underground caves; underground mines; Artificial intelligence; Concatenated codes; Event detection; Humans; Intelligent networks; Intelligent systems; Laboratories; Mobile robots; Navigation; Remotely operated vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Vehicles Symposium, 2004 IEEE
Print_ISBN
0-7803-8310-9
Type
conf
DOI
10.1109/IVS.2004.1336383
Filename
1336383
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