H. Sugie, Y. Inagaki, S. Ono, H. Aisu, and T. Unemi, "Placing Objects with Multiple Mobile Robots-mutual Help Using Intention Inference," presented at 1995.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....multi agent system is knowing the intentions of other agents. Direct communication and behavior inference are two popular approaches for this issue. Behavior inference is achieved by applying plan recognition to an agent s observed external behaviors to infer their intentions and detect conflicts [5]. The uncertainty of the inference correctness in this approach may limit the applicability of this approach. Direct communication involves an agent telling another agent of its intentions. For example, Chu Carroll and Carberry use an enhanced dialog model to capture agents intentions [6] Then ....

....problem solving in the system [7] In the past two decades, researchers have developed various conflict resolution strategies for multi agent systems. Some common conflict resolution strategies include negotiation[8] arbitration [9] priority conventions [10] voting [11] and self modification [5]. Previous research provides a foundation for the decomposition and analysis of multi agent conflicts. Researchers have analyzed goal conflicts among fully cooperative [12] and not fully cooperative [13] agents. Resource conflicts, 14] as well as plan conflicts, 15] have also been specifically ....

H. Sugie, Y. Inagaki, S. Ono, H. Aisu, and T. Unemi, "Placing Objects with Multiple Mobile Robots-mutual Help Using Intention Inference," presented at 1995.

....for modeling of other agents (see Section 2.1.4 below) Because of hardware limitations, interaction via sensing has often been emulated using radio or infrared communications. However, several recent works attempt to implement true interaction via sensing, based on vision [95] 96] [154]. Collective behaviors that can use this kind of interaction include flocking and pattern formation (keeping in formation with nearest neighbors) Interaction via communications The third form of interaction involves explicit communication with other agents, by either directed or broadcast ....

....hardware capabilities can be added in order to infer the actions of the other agent, thus reducing communication requirements. This is in contrast to [147] where the robots achieve box pushing but are not aware of each other at all. For a more complex task involving the placement of five desks in [154], a homogeneous group of four robots share a ceiling camera to get positional information, but do not communicate with each other. Each robot relies on modeling of other agents to detect conflicts of paths and placements of desks, and to change plans accordingly. Representative Architectures All ....

H. Sugie, Y. Inagaki, S. Ono, H. Aisu, and T. Unemi. Placing objects with multiple mobile robots -- mutual help using intention inference. In IEEE

.... conflict resolution strategies for multi agent systems [Bond Gasser, 1988] Some common conflict resolution strategies include negotiation [Sycara, 1988] arbitration [Steeb et al. 1981] priority conventions [Ioannidis Sellis, 1989] voting [Ephrati Rosenschein, 1991] self modification [Sugie et al. 1995], constraint relaxation [Sathi Fox, 1989] assumption surfacing [Mason Johnson, 1989] evidential reasoning [Carver Lesser, 1995] and standardization and social law [Shoham Tennenholtz, 1992] Given the diversity of available conflict resolution strategies and their various strengths and ....

Sugie, H., Inagaki, Y., Ono, S., Aisu, H., & Unemi, T. Placing objects with multiple mobile robots-mutual help using intention inference. Proceedings of 1995 IEEE International Conference on Robotics and Automation, 1995.

....the paper. 2. State of the Art In the past two decades, researchers have developed various conflict resolution strategies for multi agent systems [3] Some common conflict resolution strategies include negotiation [28] arbitration [25] priority conventions [13] voting [11] selfmodification [26], constraint relaxation [22] assumption surfacing [19] evidential reasoning [6] and standardization and social law [24] These diverse conflict resolution strategies offer various strengths and weaknesses in different contexts. Similar to Decker s results showing that there is no single best ....

Sugie, H., Inagaki, Y., Ono, S., Aisu, H., and Unemi, T. 1995. Placing Objects with Multiple Mobile Robots-mutual Help Using Intention Inference. In Proceedings of the 1995 IEEE International Conference on Robotics and Automation: 2181-2186.

....implement our method on four real mobile robots, and make experiments in dynamic environments. 1 Introduction For attacking a task which a single robot can not achieve, many studies on multiple mobile robots cooperation have been done. They are categorized into two classes: centralized control [11][6] 12] and decentralized control [10] 5] 4] 3] 2] 7] In centralized control, a central system obtains global information on an environment including all the robots by sensing or communication, and determines actions for all the robots. Then the central system sends commands to all the robots, ....

....than decentralized control because all the robots stops when the central system is down. Thus the multi robot system in decentralized control have also been investigated. However both of the two approach have the following significant problems. 1. Explicit communication: Most multi robot systems [11][6] 12] 2] 8] in centralized control need explicit communication using a transmitter and a receiver. Since such communication may be expensive and unstable depending on an environment, a multi robot system without explicit communication is more robust and inexpensive. 2. A dynamic environment : It ....

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H. Sugie, Y. Inagaki, S. Ono, H. Aisu, and T. Unemi. Placing objects with multiple mobile robots -- mutual help using intention inference. In Proceedings of the 1995 IEEE International Conference on Robotics and Automation, pages 2181--2186, 1995.

....(see Section 2.1.4 below) Because of hardware limitations, interaction via sensing has often been emulated using radio or infrared communications. However, several recent works attempt to implement true interaction via sensing, based on vision [Kuniyoshi et al. 1994a, Kuniyoshi et al. 1994b, Sugie et al. 1995] Collective behaviors that can use this kind of interaction include flocking and pattern formation (keeping in formation with nearest neighbors) Interaction via communications The third form of interaction involves explicit communication with other agents, by either directed or broadcast ....

....can be added in order to infer the actions of the other agent, thus reducing communication requirements. This is in contrast to [Sen et al. 1994] where the robots achieve box pushing but are not aware of each other at all. For a more complex task involving the placement of five desks in [Sugie et al. 1995], a homogeneous group of four robots share a ceiling camera to get positional information, but do not communicate with each other. Each robot relies on modeling of other agents to detect conflicts of paths and placements of desks, and to change plans accordingly. 2.1.5 Representative ....

H. Sugie, Y. Inagaki, S. Ono, H. Aisu, and T. Unemi. Placing objects with multiple mobile robots -- mutual help using intention inference. In IEEE ICRA, pages 2181--2186, 1995.

....for modeling of other agents (see Section 2.1.4 below) Because of hardware limitations, interaction via sensing has often been emulated using radio or infrared communications. However, several recent works attempt to implement true interaction via sensing, based on vision [95] 96] [154]. Collective behaviors that can use this kind of interaction include flocking and pattern formation (keeping in formation with nearest neighbors) Interaction via communications The third form of interaction involves explicit communication with other agents, by either directed or broadcast ....

....hardware capabilities can be added in order to infer the actions of the other agent, thus reducing communication requirements. This is in contrast to [147] where the robots achieve box pushing but are not aware of each other at all. For a more complex task involving the placement of five desks in [154], a homogeneous group of four robots share a ceiling camera to get positional information, but do not communicate with each other. Each robot relies on modeling of other agents to detect conflicts of paths and placements of desks, and to change plans accordingly. Representative Architectures All ....

H. Sugie, Y. Inagaki, S. Ono, H. Aisu, and T. Unemi. Placing objects with multiple mobile robots -- mutual help using intention inference. In IEEE ICRA, pages 2181--2186, 1995.

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