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The dynamic model of a nonholonomic mobile robot was implemented in the Matlab/Simulink environment.
Sections 4.2, 4.3, and 4.4 show the advantages of CMKF over the KF by analyzing in detail an instance where the mobile robot was made to track a human in an indoor environment for about 400 s.
For instance, remotely localizing a gas or odor source using mobile robot was proposed in [3] by fitting the gas distribution model to the gas sensor response at the sensor locations.
In the experiment described in the paper, a mobile robot was successfully trained to keep clear an arena surrounded by walls by locating, recognizing, and grasping "garbage" objects and by taking collected objects outside the arena.
The mobile robot was simulated resorting to the SimTwo, a custom made simulator developed by the authors with the purpose to test and produce control software for industrial, humanoid and wheeled robots.
Over a 2-week period, a mobile robot was placed in a retirement village, where 25 older people were invited to use the robot's several functions (vital-sign measurement, medication reminding, fall detection, entertainment, telephone calling, brain fitness, and games).
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As learned from realistic search and rescue activities at disaster sites, the mobility of the mobile robot is of the greatest importance [1].
Application to mobile robot is also important orientation.
Experimental results with ground mobile robot are presented.
The kinematics and dynamics of the mobile robot are presented.
The mobile robot is controlled in a teleoperated mode.
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