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Many mobile robots rely heavily on Real Time Location Systems to operate safely in different environments.
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Task planning for mobile robots usually relies solely on spatial information and on shallow domain knowledge, such as labels attached to objects and places.
Most RF beacons-based mobile robot navigation techniques rely on approximating line-of-sight (LOS) distances between the beacons and the robot.
The ARK mobile robot project has designed and implemented a series of mobile robots capable of navigating within industrial environments without relying on artificial landmarks or beacons.
We introduce a neuro-fuzzy system for localising mobile robots solely based on raw vision data without relying on landmarks or artificial symbols.
One prominent example involves semiautonomous mobile robots for exploration of the Martian surface.
There are also skeptics about the value of the current generation of mobile robots.
For now, most of the mobile robots, sometimes called telepresence robots, are little more than ventriloquists' dummies with long, invisible strings.
Both are suitable for autonomous mobile robots.
The Home Robots segment includes mobile robots that are used in the maintenance of domestic households.
Quadruped robots offer better maneuverability over wheeled mobile robots.
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