Title :
Prediction of obstacle climbing capability for tracked vehicles
Author :
Rajabi, Amir H. ; Soltanzadeh, Amir H. ; Alizadeh, Arash ; Eftekhari, Golnaz
Author_Institution :
IAUCTB, Tehran, Iran
Abstract :
Among mobility issues of tracked vehicles, obstacle climbing is one of the most important problems which should be addressed. In this paper, we present a theoretical method of deriving the maximum height which a tracked robot (with and without sub-tracks) is capable of climbing. This can be employed as a useful factor in mechanical design process, judgment of obstacle climbing, optimization, and autonomous train traversal algorithms for tracked vehicles. Geometrical dimensions and position of the Center of Gravity (COG) are the parameters which this method depends on. Finally, the validation of the theory is done using two heterogeneous tracked vehicles.
Keywords :
collision avoidance; design engineering; mobile robots; optimisation; position control; tracked vehicles; autonomous train traversal algorithm; center of gravity position; geometrical dimension; heterogeneous tracked vehicle; mechanical design process; obstacle climbing capability prediction; optimization; tracked robot; vehicle tracking; Equations; Geometry; Mathematical model; Robot kinematics; Robot sensing systems; Vehicles; Center of Gravity; Geometrical dimensions; Obstacle climbing; Tracked vehicles;
Conference_Titel :
Safety, Security, and Rescue Robotics (SSRR), 2011 IEEE International Symposium on
Conference_Location :
Kyoto
Print_ISBN :
978-1-61284-770-2
DOI :
10.1109/SSRR.2011.6106766