Target tracking is a crucial function for an autonomous mobile robot navigating in unknown environments. This paper presents a mobile robot target tracking approach based on artificial intelligence techniques. The proposed controller calculates both the mobile robot linear and angular velocities from the distance and angle that separate it to the moving target. The controller was designed using...

This paper describes an evolutionary way to design behaviors of a mobile robot for recognizing environments. We have proposed an action-based approach (called AEM) for a mobile robot to recognize environments. In AEM, a behavior-based mobile robot acts in each environments and action sequences are obtained. The action sequences are transformed into vectors characterizing the environments, and t...

One of the results of a research project on mechatronics is a mobile robot, which was used as a carrier for research on the design of mechatronical systems. This mobile robot, the Mobile Autonomous Robot Twente (MART), is intended to be used as major part of a future assembly factory. In this paper the implementation on the MART-robot of a recently developed hybrid controller for stabilization ...

Navigation and obstacle avoidance are very important issues for the successful use of an autonomous mobile robot. To allow the robot to move between its current and final configurations without any collision within the surrounding environment, motion planning needs much treatment. Thus to generate collision free path it should have proper motion planning as well as obstacle avoidance scheme. Th...

The aim of this paper is to briefly describe proposed algorithms for an autonomous mobile robot. These algorithms concern data processing from sensors, description of environment from these data and finally navigation on these data. Results from these processes are based on simulation of real mobile robot system. On proposed algorithms can be showed principle of ultrasonic and infrared sensor, ...

This paper presents an implementation of a ball catching task using a monocular vision-based mobile robot. We have proposed a motion strategy for catching a ball flying in three-dimensional space. This strategy has its roots in the field of experimental psychology but is more powerful and concentrated on a robot. A practical trajectory control law is derived for a non-holonomic mobile robot to ...

This paper presents experiments with a Nomad 200 mobile robot, acquiring a sensor model of a speciic environment and using this model to predict robot-environment interaction. Data obtained by operating the real robot in the real target environment is used to train a set of 16 artiicial neural networks which can later be used to model robot-environment interaction and predict the behaviour of t...

In this paper we describe a fuzzy logic based approach for providing biologically based motivations to be used in evolutionary mobile robot learning. Takagi-Sugeno-Kang (TSK) fuzzy logic is used to motivate a small mobile robot to acquire complex behaviors and to perform environment recognition. This method is implemented and tested in behavior based navigation and action sequence based environ...

The paper is aimed to design and implement a remote sensing and monitoring system running on mobile robot with the capability of transmitting the data wirelessly to operating station. A simple mobile robot prototype with on-board sensors has been designed and implemented to scan and monitor several variables in the surrounding environment. The system enables the user operating from base station...

This paper describes an evolutionary way to design behaviors of a mobile robot for recognizing environments. We have proposed an action-based approach (called AEM) for a mobile robot to recognize environments. In AEM, a behavior-based mobile robot acts in each environments and action sequences are obtained. The action sequences are transformed into vectors characterizing the environments, and t...