Cooperation of Distributed Intelligent Sensors in Intelligent Environment

Lee, Joo‐Ho; Morioka, Kazuyuki; Ando, Noriaki; Hashimoto, Hideki

doi:10.1109/tmech.2004.834655

Cited by 67 publications

(41 citation statements)

References 10 publications

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“…This potential, however, is not fully exploited today. Most existing network robot systems are configured by hand, or through hand-written scripts that can only account for a very limited set of contingencies [6][7][8].…”

Section: Pippi Emilmentioning

confidence: 99%

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Autonomous functional configuration of a network robot system

Lundh

Karlsson

Saffiotti

2008

Robotics and Autonomous Systems

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We consider distributed systems of networked robots in which: (1) each robot includes sensing, acting and/or processing modular functionalities; and (2) robots can help each other by offering those functionalities. A functional configuration is any way to allocate and connect functionalities among the robots. An interesting feature of a system of this type is the possibility to use different functional configurations to make the same set of robots perform different tasks, or to perform the same task under different conditions. In this paper, we propose an approach to automatically generate, at run time, a functional configuration of a network robot system to perform a given task in a given environment, and to dynamically change this configuration in response to failures. Our approach is based on artificial intelligence planning techniques, and it is provably sound, complete and optimal. Moreover, our configuration planner can be combined with an action planner to deal with tasks that require sequences of configurations. We illustrate our approach on a specific type of network robot system, called Peis-Ecology, and show experiments in which a sequence of configurations is automatically generated and executed on real robots. These experiments demonstrate that our self-configuration approach can help the system to achieve greater autonomy, flexibility and robustness.

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Section: Pippi Emilmentioning

confidence: 99%

“…Intelligent Spaces [7] deal with the problem of how an intelligent environment can actively provide humans and robots with information. In these, distributed intelligent networked devices (DINDs) act as providers of information.…”

Section: Related Workmentioning

confidence: 99%

Autonomous functional configuration of a network robot system

Lundh

Karlsson

Saffiotti

2008

Robotics and Autonomous Systems

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“…However, in the field of ecologies of robots and robots acting in intelligent environments, there are only few works that address similar problems. Intelligent Spaces [9] deal with the problem of how an intelligent environment can actively provide humans and robots with information. In these, distributed intelligent networked devices (DINDs) that are composed of a sensor, processor, and network, act as providers of information.…”

Section: B Experimental Executionmentioning

confidence: 99%

“…In most existing work on ecologies of robots and on cooperative robotics, the way to connect robots functionalities was hand-coded [3], [9]. Similarly, in our previous work on PEISEcology we had hand-coded the configuration of the PEISEcology [1], [2].…”

Section: Introductionmentioning

confidence: 99%

Plan-Based Configuration of an Ecology of Robots

Lundh

Karlsson

Saffiotti

2007

Proceedings 2007 IEEE International Conference on Robotics and Automation

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Abstract-We consider an ecology of robots in which robots can help each other by offering information-producing functionalities. A functional configuration of this ecology is a way to allocate and connect functionalities among the participating robots. In general, different configurations can be used to solve the same task, depending on the current situation, and some tasks require sequences of different configurations to be solved. In this paper, we propose a plan-based approach to automatically generate a preferred configuration for a given task, environment, and set of resources. We also describe how our configuration planner can be integrated with an action planner to deal with tasks that require sequences of configurations. We illustrate these ideas on a specific instance of an ecology of robots, called a PEIS Ecology. We also show an experiment run on our PEIS Ecology testbed, in which a sequence of configurations for an olfactory task is automatically generated and executed.

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“…Several cooperative monitoring systems based on the fixed cameras have been developed [1], [2]. At construction sites, there are many dangerous and restricted areas.…”

Section: Introductionmentioning

confidence: 99%

Cooperative Monitoring by Fixed Cameras and Moving Cameras

Kunimatsu

Kumeno

Tsukuda

et al. 2006

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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In this paper we propose a human tracking system for dynamic environments based on the cooperation of fixed and moving cameras to create safe and secure spaces at construction sites. It is difficult for only the fixed cameras to monitor the all of a crowded dynamic environment because of the occlusion by the large objects such as the construction materials. We introduce moving cameras such as the mobile robots for monitoring these areas unobservable by fixed cameras. The moving cameras monitor the spaces unobservable of the fixed cameras that are caused by occlusion by the objects. The system is able to monitor a target position through cooperation of the fixed and moving cameras. Experimental results illustrate the effectiveness and feasibility of our proposed cooperative system.

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Cooperation of Distributed Intelligent Sensors in Intelligent Environment

Cited by 67 publications

References 10 publications

Autonomous functional configuration of a network robot system

Autonomous functional configuration of a network robot system

Plan-Based Configuration of an Ecology of Robots

Cooperative Monitoring by Fixed Cameras and Moving Cameras

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