This paper presents the use of a modified ant colony optimization algorithm and interactive web technologies for the problems of real-time path planning and navigation for an autonomous mobile robot. Assume that the mobile robot serves in an office building for delivering documents and packages, and all staff in different locations can assign tasks to the robot via a web-based application. Ther...

In this paper, the simple geometric kinematics of a three-wheeled holonomic mobile robot is proposed. Wheel architecture is developed for the holonomic mobile platform in order to provide omni-directional motions by three individually driven and steered wheels. Three types of basic motions are proposed for the path generation of the developed mobile robot. All paths of the mobile robot can be a...

In this paper, a new online robot motion planner is developed for systematically exploring unknown environ¬ments by intelligent mobile robots in real-time applications. The algorithm takes advantage of sensory data to find an obstacle-free start-to-goal path. It does so by online calculation of the Generalized Voronoi Graph (GVG) of the free space, and utilizing a combination of depth-first an...

Abstract: In this paper an application of the adaptive neuro-fuzzy inference system has been introduced to predict the behavior of a chaotic robot. The chaotic mobile robot implies a mobile robot with a controller that ensures chaotic motions. Chaotic motion is characterized by the topological transitivity and the sensitive dependence on initial conditions. We have used the controller such that...

For path planning of mobile robot, the traditional Q learning algorithm easy to fall into local optimum, slow convergence etc. issues, this paper proposes a new greedy strategy, multi-target searching of Q learning algorithm. Don't need to create the environment model, the mobile robot from a single-target searching transform into multitarget searching an unknown environment, firstly, by the dy...

Abstract – This paper presents sensor-based intelligent mobile robot navigation in unknown environments. The paper deals with fuzzy control of autonomous mobile robot motion in an unknown environment with obstacles and gives a wireless sensor-based remote control of mobile robots motion in an unknown environment with obstacles using the Sun SPOT technology. Simulation results show the effective...

Localization is one of the most important issues for mobile robots since all tasks are commanded to a mobile robot based on the assumption that the mobile robot knows its position. Even though non-probabilistic techniques are faster than probabilistic approaches, those are sensitive to measurement errors and a mobile robot may lose its position in complex environments. And most simple features ...

At present, the research on the technology of mobile robot navigation is under the spotlight. This paper introduces ZigBee technology into mobile robot’s research, and constructs an experimental system for robot navigation based on ZigBee wireless sensor network localization technology. In this system, robot added a ZigBee module takes the position as a blind node in ZigBee network, which forms...

Mobile robots with omni-directional wheels can generate instant omni-directional motion including lateral motion without any extra space for changing the direction of the body. So, they are capable of traveling in every direction under any orientation to approach their destinations even in narrow aisles or tight areas. Especially, if a construction tool is combined to the mobile robot, it can b...