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Mobile robot systems often operate under real-time constraints imposed by the interactions with the world in which they act.
Most mobile robot systems accrue an odometry error while moving, and hence need to use external sensors to recalibrate their position on an ongoing basis.
This paper describes the realization of a space-division optical communication system specifically designed to perform local inter-robot communication in fully distributed multiple autonomous mobile robot systems.
This paper addresses the trajectory-tracking control problem of mobile robot systems with nonholonomic constraints, in the presence of time-varying parametric uncertainties and external disturbances.
This hybrid animal-robot interaction system could provide an alternative solution to some of the limitations of conventional mobile robot systems in various fields, and could also act as a useful interaction system for the behavioral sciences.
An adaptive controller based on multi-input fuzzy rules emulated networks (MIFRENs) is introduced for omni-directional mobile robot systems in the discrete-time domain without any kinematic or dynamic models.
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In this paper we present a behaviour-based mobile robot system for task execution.
More specifically we design a cooperative mobile robot system playing a soccer game.
The system was successfully incorporated within a real mobile robot system which performs many other computational tasks in parallel.
An important competence for a mobile robot system is the ability to localize and perform context interpretation.
The effectiveness of this approach is experimentally demonstrated and validated by implementing it in the hybrid mobile robot system.
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