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The suggested system is evaluated in a simulated mobile robot test environment.
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The resulting navigation algorithm has been implemented on a real mobile robot and tested in various environments.
This paper presents results generated with a new evolutionary robotics (ER) simulation environment and its complementary real mobile robot colony research test-bed.
The mobile robot implemented for testing the performance of the proposed algorithm has shown that it follows a moving target successfully in various working environments.
In this paper, a method is proposed for the robot system in which calibration of the environmental camera is rendered by the robot system itself on the spot after a system is set up. Specific kinds of motion patterns of the mobile robot, which are called test motions, have been explored for calibration.
When RatePoint was approached by Vgo Communications to test a mobile robot, Mr. Creighton jumped at the chance.
The library provides functionality to test the mobile robot under different control problems such as: position control, trajectory tracking, path following, obstacle avoidance, and multi-robot experiments with formation control.
The behaviours in the evolutionary system are tested in simulation, but the best are then tested on a mobile robot for grounding in the real world.
The resulting localization system was tested on a mobile robot.
The system is tested on a mobile robot which is placed in a spatial memory task.
The strategy for the control of vehicle platooning is proposed and tested on different mobile robot platforms.
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