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The ability for tele-operators to derive remote robots' location is crucial: it allows them to develop strategies to perform high level interactions and mainly navigation. In normal conditions, remote robots can perform autonomously such a task by comparing an priori knowledge and local sensed data. For some typical situations, this approach is impossible. Indeed, when remote environments are changing...
Action planning is one of the pivot issues in robot telecontrol, in which the action instructions are often given by the controller from remote site with the help of vision systems. In this paper, we present a learning-based strategy for action planning in robot telecontrol, in which the parameters of sophisticated actions of the remote robot equipped with a binocular vision system could be pre-scheduled...
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