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
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;
Conference_Titel :
Intelligent Vehicles Symposium, 2004 IEEE
Print_ISBN :
0-7803-8310-9
DOI :
10.1109/IVS.2004.1336383