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. © 2008 IEEE
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Autonomous ground vehicles (AGVs) are considered to be critical for the future of the military. As m...
There is a critical need for a model for high mobility tracked vehicles that can be used in real-tim...
[Abstract] An important element of wheeled robot operations on uneven and unstructured terrain is th...
Abstract: The research work focuses on issues of vehicle modeling incorporating wheel-terrain intera...
Increasing levels of autonomy impose more pronounced performance requirements for unmanned ground ve...
A future limitation of autonomous ground vehicle technology is the inability of current algorithmic ...
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Abstract. This paper explores how a ‘learning ’ algorithm can be added to UGV’s by giving it the abi...
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[Abstract] An important element of wheeled robot operations on uneven and unstructured terrain is th...