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The controller for a mobile robot, consisting of a feedback loop, renders the closedloop system's steady-state input-output to be linear time invariant and causes the output to track a commanded trajectory.
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The computed solution for a mobile robot consists of a smooth curve without self-loops which connects the starting and destination points with the shortest possible path.
The model of mobile robots consists of kinematics and dynamics considering skidding and slipping where all robot parameters as well as skidding and slipping effects are unknown.
The RRX robotic system is composed of a mobile platform and a welding robot consisting of a 3P3R serial manipulator.
Mobile robot localization consists in estimation of robot pose by using real-time measurements.
In this paper, we propose an environment recognition system for a wheeled mobile robot that consists of multiple classification analyses to make the robot more adaptive to various environments by selecting a suitable system such as decision making, navigation and controller using the result of the environment recognition system.
We are developing a shared remote control mobile robot for aerial work in nuclear power plants (NPPs); a robot consists of a mobile platform, a telescopic mast, and a dual-arm slave with a working tool.
The project robot consists of a mobile platform equipped with infrared sensors and an ultrasonic ranging device that help it navigate.
The robot consists of a wheel-based mobile platform with spinal (segmented) torso, bi-manual manipulation system with multi-finger robot hands and robot head.
In [3], the robot consists of two snake-like robots, one covering the other.
Kikuchi robot consists of a statically stable wheel base.
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