To study the regularity and complexity of autonomous behavior, the flow of sensory information obtained in autonomous mobile robots under various conditions was analyzed as a complex system. Sensory information time series Xn was collected from a miniature mobile robot during free navigation, and plotted on the return map, the graph of X(n+tau) vs. Xn. The plot exhibited a characteristic trajec...

The book is about designing and building learning autonomous robots. An autonomous robot is a remarkable example of a device that is difficult to design and program, because it must carry out its task in a partially unknown and unpredictable environment, with which it interacts through noisy sensors and actuators. There is a fairly widespread opinion that a good way of coping with this situatio...

For the past three years, we have been running an experiment in web-based interaction with an autonomous indoor mobile robot. The robot, Xavier, can accept commands to travel to different offices in our building, broadcasting camera images as it travels. The experiment, which was originally designed to test a new navigation algorithm, has proven very successful, with over 30,000 requests receiv...

-The development of an autonomous mobile robotic system for on-the-road marks painting is presented in this paper. The whole system involves two main parts, namely, the autonomous mobile robot navigation system and automated road mark painting system. The focus is on the painting system which is incorporated into the mobile robot platform and executed within the same computing environment. The ...

We describe an experiment in the application of ILP to autonomous discovery in a robotic domain. An autonomous robot is performing experiments in its world, collecting data and formulating predictive theories about this world. In particular, we are interested in the robot’s “gaining insights” through predicate invention. In the first experimental scenario in a pushing blocks domain, the robot d...

In this paper, fuzzy logic controllers (FLC) are used to implement an efficient and accurate positioning of an autonomous car-like mobile robot, respecting final orientation. To accomplish this task, called “Oriented Positioning”, two FLC have been developed: robot positioning controller (RPC) and robot following controller (RFC). Computer simulation results illustrate the effectiveness of the ...

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 distributed mobile robot systems, autonomous robots accomplish complicated tasks through intelligent cooperation with each other. This paper presents behavior learning and online distributed evolution for cooperative behavior of a group of autonomous robots. Learning and evolution capabilities are essential for a group of autonomous robots to adapt to unstructured environments. Behavior lear...

We describe a complete, end-to-end system for taking well-composed photographs using a mobile robot. The general scenario is a reception, or other event, where people are roaming around talking to each other. The robot serves as an “event photographer”, roaming around the same space as the participants, periodically taking photographs. These images are then sent to a workstation where participa...

A credible theory of intelligence must provide a satisfactory account of the wide spectrum of learning abilities displayed by humans and some other animals. One of the most impressive of these is skill acquisition—the ability to create new skills, refine them through practice, and apply them in new task contexts. This ability to retain and refine solutions to important subproblems and then empl...