The AGV (automated guided vehicle) was introduced in UK in 1953 for transporting. But nowadays, due to their high efficiency, flexibility, reliability, safety and system scalability, they are used in various application in industries. In brief, the AGV robot is a system which typically made up of vehicle chassis, embedded controller, motors, drivers, navigation and collision avoidance sensors, ...

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...

In this paper, we describe a reactive robot architecture that uses fast re-planning methods to avoid the shortcomings of reactive navigation, such as getting stuck in box canyons or in front of small openings. Our robot architecture differs from others in that it gives planning progressively greater control of the robot if reactive navigation continues to fail, until planning controls the robot...

A fuzzy logic for autonomous navigation of underwater robot is proposed in this paper. The VFF(Virtual Force Field) algorithm, which is widely used in the field of mobile robot, is modified for application to the autonomous navigation of underwater robot. This Modified Virtual Force Field(MVFF) algorithm using the fuzzy logic can be used in either track keeping or obstacle avoidance. Fuzzy logi...

Robot navigation is a problem that encompasses most of the major areas of AI research. Machine architecture, search, knowledge acquisition and representation, planning, scheduling, reaction, perception, and of course robotics, all can play integral roles in a mobile robot navigation system. For this reason, a large part of the AI community is now interested (and has been since STRIPS was used t...

Autonomous navigation of mobile robots in an unknown cluttered environment is quite difficult task in the recent years. Many researchers have been developed several efficient methodologies in the navigation of mobile robot. The main objective of the mobile robot is to determine an optimal path for navigation, that means the robot should be navigate safely from the source to the pre-defined dest...

In this paper, we provide an overview of our on-going work using spatial relations for mobile robot navigation. Using the histogram of forces, we show how linguistic expressions can be generated to describe a qualitative view of the robot with respect to its environment. The linguistic expressions provide a symbolic link between the robot and a human user, thus facilitating two-way, human-like ...

Dynamic and complex indoor environments present a challenge for mobile robot navigation. The robot must be able to simultaneously map the environment, which often has repetitive features, whilst keep track of its pose and location. This chapter introduces some of the key considerations for human guided navigation. Rather than letting the robot explore the environment fully autonomously, we cons...