Title :
Fast algorithm for UGV wheel-terrain interaction analysis
Author :
Tran, T.H. ; Ha, Q.P.
Author_Institution :
Dept. of Autom., Can Tho Univ., Can Tho
Abstract :
On-line prediction of unmanned ground vehicle (UGV) behaviour during interactions with terrain is essential for autonomous and safe operations of skid-steering UGVs. This paper presents a fast and accurate algorithm for a new interaction model to predict performance of a UGV running on a particular terrain. By approximating nonlinear relations involved in the interaction between the vehicle and terrain, a closed form of the interaction model is obtained to enable on-line computation. The minimum absolute error criteria are applied to secure accuracy for the proposed method. The development is compared with the other models in terms of both computation speed and accuracy.
Keywords :
mobile robots; prediction theory; remotely operated vehicles; robot dynamics; UGV; minimum absolute error criteria; nonlinear relations; online prediction; stress; unmanned ground vehicle wheel-terrain interaction analysis; Algorithm design and analysis; Automotive engineering; Integral equations; Land vehicles; Military computing; Mobile robots; Remotely operated vehicles; Robotics and automation; Stress; Wheels; UGV; terramechanics; wheel-terrain interaction;
Conference_Titel :
Control, Automation, Robotics and Vision, 2008. ICARCV 2008. 10th International Conference on
Conference_Location :
Hanoi
Print_ISBN :
978-1-4244-2286-9
Electronic_ISBN :
978-1-4244-2287-6
DOI :
10.1109/ICARCV.2008.4795598