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Human tracking by mobile robots has been an area of intense research for many years.
Recent research on mobile robots has focused on locomotion in various environments.
Cooperative path following control problem of multiple nonholonomic mobile robots has been considered in this paper.
Application of wheeled mobile robots has gradually progressed from the confines of structured indoor environments to rough outdoor terrains.
Past research of this kind has shown that heavy-object transport by using multiple mobile robots has still not been successfully achieved.
Recent work on simultaneous trajectory estimation and mapping (STEAM) for mobile robots has used Gaussian processes (GPs) to efficiently represent the robot's trajectory through its environment.
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Because of the nonholonomic constraints, wheeled mobile robots have restrictions in mobility and typically cannot be controlled by linear controllers.
A variety of approaches for path tracking control of wheeled mobile robots have been implemented.
In particular, four different architectures of mobile robots have been studied.
Fixed-base and mobile robots have been designed and tested in animal models with much success.
Spherical mobile robots are a novel type of mobile robots having some advantages in motion over other ordinary mobile robots.
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