Conventional surveillance for a security robot suffers from severe limitations, perceptual aliasing (e.g., different places/objects can appear identical), occlusion place/object appearance changes between visits), illumination changes, significant viewpoint etc. This paper proposes an autonomous robotic system based on CNN (convolutional neural network) to perform visual perception and control ...

Building distributed applications for cooperative service robots systems is a very challenging task from software engineering perspective. Indeed, apart from the complexity of designing software components for the control of a single autonomous robot, cooperative multi-robot systems require additional care in the design of software components to ensure communication and coordination between the...

Autonomous robotic devices are vital to the peformance of space mission. These range from smart servo-controlled devices (e.g., an antenna or a camera) to autonomous mobile robots (e.g., planetary rovers) to future interactive astronaut assistants. Each robotic device operates in its specific environment, which is usually not fully predictable and not fully observable, and which may include hum...

In path planning of autonomous agriculture vehicles, detecting and identifying obstacles, and taking appropriate collision avoidance measures are critical for safe operation. The goal of this research was to obtain the hay bale distance and position to be used in real-time obstacle avoidance detection for autonomous robot tractors using stereo vision system. The vision system was an omnidirecti...

This paper describes an evolutionary process producing dy-namical neural networks used as \brains" for autonomous agents. The main concepts used : genetic algorithms, morphogenesis process, artiicial neural networks and artiicial metabolism, illustrate our conviction that some fundamental principles of nature may help to design processes from which emerge artiicial autonomous agents. The evolut...

An experimental comparison among the main behavioral control techniques for autonomous mobile robots is presented in this paper. The behavioral algorithms tackle the problem in a similar way: they decompose the mission planning of the robot in simple tasks; each task is then approached independently from the others and, at the end, the behavioral algorithms arrange the tasks’ output to give an ...

In this paper a new intelligent control architecture for autonomous multi-robot systems is presented. Furthermore, the paper deals with task description, task distribution, task allocation and coordination of the system components. The main advantage of the new control architecture is the distributed execution of tasks or subtasks by components of the multi-robot system. The components are able...

The reaction of autonomous mobile robot to the dynamic, uncertain, and changeable environment is one of most difficult issue in control of the intelligent autonomous robot movement. Fuzzy control appears as a very useful tool for handling the intelligent reactive navigation. Present work deals with building of fuzzy behavior based reactive navigation of goal achieving, obstacle avoidance, and p...