The framework is tested on a simulated tele- operated vehicle system using different network representations ranging from constant delays to stochastic delays ...

To address this challenge, this paper adopts a model-free predictor based framework that, unlike previously reported efforts, does not require the predictor to ...

This paper adopts and further develops a model-free predictor framework to compensate for communication delays and improve vehicle mobility where the term “ ...

A model-free predictor based framework that does not require the predictor to know and model the system dynamics is adopted, which holds a significant ...

Abstract – One important challenge with vehicle tele- operation is that the communication delays can negatively affect the driving performance.

This paper adopts and further develops a model-free predictor framework to compensate for communication delays and improve vehicle mobility where the term “ ...

Being model- free, predictors are robust to modeling errors and can be applied to general teleoperated UGV systems regardless of the vehicle platform or ...

Thus, the predictor is considered to be model-free. Since the human driver is hard to model and the vehicle dynamics are usually complicated and nonlinear, a ...

Section. 2 presents the predictor framework applied to the tele- operated vehicle system. The simulation platform with predictor framework is described in ...

This paper considers a model-free predictor framework to compensate for ... example, in the tele-operation literature, model predic- tive control has ...