D. Jung and A. Zelinsky. Grounded symbolic communication between heterogeneous cooperating robots. Autonomous Robots, 8(3):269-292, 2000.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....that this requires for the agents to construct similar representations of the meanings they use. In addition, the construction of semiotic symbols should be adaptive, because it may be impossible to design static anchors that apply to the dynamic interactions of a robot with its environment [9]. An adaptive approach to construct semiotic symbols allows robots to create new anchors when none exist or when existing ones are insucient. As a result, I assume that a semiotic symbol can have multiple meanings (or prototypes) to stand for a referent in relation to a form. These di erent ....

D. Jung and A. Zelinsky. Grounded symbolic communication between heterogeneous cooperating robots. Autonomous Robots, 8:269-292, 2000. 19

....way. Instead, anchoring is typically solved on a system bysystem basis, and the solution is hidden in the code. The autonomous robotics and machine vision literature contains a few examples in which the need and the role of anchoring, under different names, has been explicitly identified, e.g. [6], 5] 7] 8] However, all the works above describe specific implementations and do not attempt a study Ingelligent Agent Physical World Sensori motoric system symbols table1 room3 Anchoring sensor data door21 observe denote mycup Symbolic reasoning system Fig. 1. The anchoring ....

D. Jung and A. Zelinsky. Grounded symbolic communication between heterogeneous cooperating robots. Autonomous Robots journal, 8(3), 2000.

.... researchers have found that, in many cases, communication of even a small amount of information can lead to great benefit (e.g. 16] More recent work in multi robot communication has focused on representations of languages and the grounding of these representations in the physical world [35] [36]. Additionally, work has extended to achieving fault tolerance in multi robot communication, such as setting up and maintaining distributed communications networks [68] and ensuring reliability in multirobot communications [48] An important related aspect of multi robot communication has been ....

D. Jung and A. Zelinsky. Grounded symbolic communication between heterogeneous cooperating robots. Autonomous Robots, 8(3):269--292, July 2000.

.... these researchers have found that, in many cases, communication of even a small amount of information can lead to great benefit [6] More recent work in multi robot communication has focused on representations of languages and the grounding of these representations in the physical world [22,23]. Additionally, work has extended to achieving fault tolerance in multi robot communication, such as setting up and maintaining distributed communications networks [51] and ensuring reliability in multi robot communications [34] While progress is being made in these more recent issues of ....

David Jung and Alexander Zelinsky. Grounded symbolic communication between heterogeneous cooperating robots. Autonomous Robots, 8(3), July 2000.

....consider specific, previously known objects. 6 Discussion The autonomous robotics and machine vision literature contains a few examples in which the need and the role of anchoring, under different names, has been explicitly identified, e.g. Hexmoor et al. 1993] Saffiotti et al. 1995] [Jung and Zelinsky, 2000] , Chella et al. 1998] Bajcsy and Kosecka, 1994] Satoh et al. 1997] Horswill, 1997] Wasson et al. 1999] However, all the works above describe specific implementations and do not attempt a study of the general concept of anchoring. To our knowledge, Coradeschi and Saffiotti, ....

D. Jung and A. Zelinsky. Grounded symbolic communication between heterogeneous cooperating robots. Autonomous Robots journal, 8(3), 2000.

....to perceive in the environments. Grounding in robotic systems is a promising direction, as pointed out by Brooks [1] and it is the natural emanation of today s ideas, that progressively blur the mind body dualism. In Collective Robotics somehow similar orientations are proposed in papers such as [2, 3]. However these papers do not address the problem of long term adaptation in large environments. Of course the internal representations used by a robot can categorized by human beeing categorized landmarks (doors, corners, crosspoint, lanes . and the communication chunks be list, graphs, ....

D. Jung, A. Zelinsky. (2000) Grounded Symbolic Communication between Heterogeneous Cooperating Robots, Autonomous Robots Journal, special issue on Heterogeneous Multi-robot Systems, Kluwer Acadamic Publishers, Balch, Tucker, Parker Lynne (eds), Vol 8, No 3.

....to perceive in the environments. Grounding in robotic systems is a promising direction, as pointed out by Brooks [1] and it is the natural emanation of today s ideas, that progressively blur the mind body dualism. In Collective Robotics somehow similar orientations are proposed in papers such as [2,3]. However these papers do not address the problem of long term adaptation in large environments. Of course the internal representations used by a robot can categorized by human beeing categorized landmarks (doors, corners, crosspoint, lanes . and the communication chunks be list, graphs, ....

D. Jung, A. Zelinsky. (2000) Grounded Symbolic Communication between Heterogeneous Cooperating Robots, Autonomous Robots Journal, special issue on Heterogeneous Multi-robot Systems, Kluwer Acadamic Publishers, Balch, Tucker, Parker Lynne (eds), Vol 8, No 3.

.... abstract communication, through the use of long range wireless communication, is becoming more and more used as wireless communication is becoming cheaper and its efficiency increases[20] The combination of abstract communication and multi robot systems has produced several successful results [17][7][18] 4] These solutions use a model such as a 2d map, a graph of landmarks or a self organizing map to represent 2 Using Situated Communication in Distributed Autonomous Mobile Robotics the environment. The robot uses this model and its own location in the model to merge information received ....

D. Jung and A. Zelinsky. Grounded symbolic communication between heterogeneous cooperating robots. Autonomous Robots 8(3), 2000.

.... these researchers have found that, in many cases, communication of even a small amount of information can lead to great bene t [6] More recent work in multi robot communication has focused on representations of languages and the grounding of these representations in the physical world [22,23]. Additionally, work has extended to achieving fault tolerance in multi robot communication, such as setting up and maintaining distributed communications networks [51] and ensuring reliability in multi robot communications [34] While progress is being made in these more recent issues of ....

David Jung and Alexander Zelinsky. Grounded symbolic communication between heterogeneous cooperating robots. Autonomous Robots, 8(3), July 2000.

....in the completion of its tasks, and is more ecient than performing the task without communication. The result is that the robots together learn to adapt their behavior toward more ecient mission completion by learning to represent and navigate around their environment and to communicate about it [8]. This approach has been successfully demonstrated in a laboratory cleaning task. In the remainder of this paper, we discuss our research in the fourth topic area that of learning new behaviors in multi robot teams. The types of applications that are typically studied for this area of multirobot ....

David Jung and Alexander Zelinsky. Grounded symbolic communication between heterogeneous cooperating robots. Autonomous Robots, 8(3), July 2000.

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D. Jung and A. Zelinsky. Grounded symbolic communication between heterogeneous cooperating robots. Autonomous Robots, 8(3):269-292, 2000.

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Jung, D., and Zelinsky, A. 2000. Grounded symbolic communication between heterogeneous cooperating robots. Autonomous Robots 8(3):269-292.

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D. Jung and A. Zelinsky. Grounded symbolic communication between heterogeneous cooperating robots. Autonomous Robots, 8(3):269-292, 2000.

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D. Jung and A. Zelinsky. Grounded symbolic communication between heterogeneous cooperating robots. Autonomous Robots, 8(3):269---292, 2000.

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D. Jung and A. Zelinsky. Grounded symbolic communication between heterogeneous cooperating robots. Autonomous Robots, 8(3):269--292, 2000.

No context found.

David Jung and Alexander Zelinsky. Grounded symbolic communication between heterogeneous cooperating robots. Autonomous Robots, 8(3):269--292, 2000.

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