20 research outputs found

    Deaf, Dumb, and Chatting Robots, Enabling Distributed Computation and Fault-Tolerance Among Stigmergic Robot

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    We investigate ways for the exchange of information (explicit communication) among deaf and dumb mobile robots scattered in the plane. We introduce the use of movement-signals (analogously to flight signals and bees waggle) as a mean to transfer messages, enabling the use of distributed algorithms among the robots. We propose one-to-one deterministic movement protocols that implement explicit communication. We first present protocols for synchronous robots. We begin with a very simple coding protocol for two robots. Based on on this protocol, we provide one-to-one communication for any system of n \geq 2 robots equipped with observable IDs that agree on a common direction (sense of direction). We then propose two solutions enabling one-to-one communication among anonymous robots. Since the robots are devoid of observable IDs, both protocols build recognition mechanisms using the (weak) capabilities offered to the robots. The first protocol assumes that the robots agree on a common direction and a common handedness (chirality), while the second protocol assumes chirality only. Next, we show how the movements of robots can provide implicit acknowledgments in asynchronous systems. We use this result to design asynchronous one-to-one communication with two robots only. Finally, we combine this solution with the schemes developed in synchronous settings to fit the general case of asynchronous one-to-one communication among any number of robots. Our protocols enable the use of distributing algorithms based on message exchanges among swarms of Stigmergic robots. Furthermore, they provides robots equipped with means of communication to overcome faults of their communication device

    An analysis of navigation algorithms for smartphones using J2ME

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    Embedded systems are considered one of the most potentialareas for future innovations. Two embedded fields that will mostcertainly take a primary role in future innovations are mobile roboticsand mobile computing. Mobile robots and smartphones are growing innumber and functionalities, becoming a presence in our daily life. In thispaper, we study the current feasibility of a smartphone to execute navigationalgorithms. As a test case, we use a smartphone to control anautonomous mobile robot. We tested three navigation problems: Mapping,Localization and Path Planning. For each of these problems, analgorithm has been chosen, developed in J2ME, and tested on the field.Results show the current mobile Java capacity for executing computationallydemanding algorithms and reveal the real possibility of usingsmartphones for autonomous navigation

    Editorial

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    10.1007/s12369-010-0085-4International Journal of Social Robotics311-

    Improving the Robustness of Reinforcement Learning for a Multi-Robot System Environment

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    Preface

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    10.1007/s12369-008-0010-2International Journal of Social Robotics111-

    Editorial

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    10.1007/s12369-011-0135-6International Journal of Social Robotics411-

    Editorial

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    10.1007/s12369-011-0101-3International Journal of Social Robotics33205-20

    Learning Concepts with Multi-robot Systems

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