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Distributed constraint optimization for large teams of mobile sensing agents

by Roie Zivan, Robin Glinton, Katia Sycara - In Proceedings of IAT , 2009
"... Abstract. A team of mobile sensors can be used for coverage of targets in differ-ent environments. The dynamic nature of such an application requires the team of agents to adjust their locations with respect to changes which occur. The dy-namic nature is caused by environment changes, changes in the ..."
Abstract - Cited by 13 (3 self) - Add to MetaCart
, derive from their physical location which is dy-namic. DCOP MST enables representation of variant dynamic elements which a team of mobile sensing agents face. A reputation model is used to determine the credibility of agents. By representing the dynamic sensing coverage requirements in the same scale

Heterogeneous Teams of Modular Robots for Mapping and Exploration

by Robert Grabowski, Luis E. Navarro-serment, Christiaan J.J. Paredis, Pradeep K. Khosla - Autonomous Robots , 2000
"... In this article, we present the design of a team of heterogeneous, centimeter-scale robots that collaborate to map and explore unknown environments. The robots, called Millibots, are configured from modular components that include sonar and IR sensors, camera, communication, computation, and mobilit ..."
Abstract - Cited by 90 (8 self) - Add to MetaCart
In this article, we present the design of a team of heterogeneous, centimeter-scale robots that collaborate to map and explore unknown environments. The robots, called Millibots, are configured from modular components that include sonar and IR sensors, camera, communication, computation

Capture of an Intruder by Mobile Agents

by Lali Barrière, Paola Flocchini, Pierre Fraigniaud, Nicola Santoro , 2002
"... Consider a team of mobile software agents deployed to capture a (possibly hostile) intruder in a network. All agents, including the intruder move along the network links; the intruder could be arbitrarily fast, and aware of the positions of all the agents. The problem is to design the agents' s ..."
Abstract - Cited by 69 (22 self) - Add to MetaCart
Consider a team of mobile software agents deployed to capture a (possibly hostile) intruder in a network. All agents, including the intruder move along the network links; the intruder could be arbitrarily fast, and aware of the positions of all the agents. The problem is to design the agents

Distributed Constraint Optimization for Mobile Sensor Teams (Doctoral Consortium)

by Harel Yedidsion
"... Coordinating a mobile sensing agents (MST) to adequately position themselves with regards to points of interest generally called targets (e.g., disaster survivors, military targets, or pollution spills), is a challenging problem in many multiagent applications. Such applications are inherently dyna ..."
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an algorithm based on DSA that forces intensive exploration for new targets. For the surveillance sub-team, we adapt several well-known incomplete DCOP algorithms, including the Maximum Gain Messages (MGM) algorithm, the Distributed Stochastic Algorithm (DSA) and the Max-sum algorithm which requires us

Deception in Networks of Mobile Sensing Agents

by Viliam Lisý, Roie Zivan, Katia Sycara, Michal Pěchouček
"... Recent studies have investigated how a team of mobile sensors can cope with real world constraints, such as uncertainty in the reward functions, dynamically appearing and disappearing targets, technology failures end changes in the environment conditions. In this study we consider an additional elem ..."
Abstract - Cited by 5 (0 self) - Add to MetaCart
represent a Mobile Sensor Team problem using the Distributed Constraint Optimization Problem (DCOP) framework. We propose an optimal method for the selection of a position of a single agent facing a deceptive adversary. This method serves as a heuristic for agents to select their position in a full scale

Applying DCOP MST to a Team of Mobile Robots with Directional Sensing Abilities

by Harel Yedidsion, Roie Zivan
"... Abstract. Multi-agent applications that include teams of mobile sensing agents are challenging since they are inherently dynamic and a single movement of a mobile sensor can change the problem that the whole team is facing. A variation of the DCOP model (DCOP MST) was previously adjusted to represen ..."
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Abstract. Multi-agent applications that include teams of mobile sensing agents are challenging since they are inherently dynamic and a single movement of a mobile sensor can change the problem that the whole team is facing. A variation of the DCOP model (DCOP MST) was previously adjusted

A team of robotic agents for surveillance

by Paul E. Rybski, Sascha A. Stoeter, Michael D. Erickson, Maria Gini, Dean F. Hougen - In Proc. of the Int'l Conf. on Autonomous Agents , 2000
"... ABSTRACT This paper presents the hardware and software componentsof a robotic team designed for security and surveillance applications. The team consists of two types of robotic agents. The first type is a larger, heavy-duty robotic platform, called the "ranger. " Rangers are used ..."
Abstract - Cited by 29 (10 self) - Add to MetaCart
is typi-cally observed either by (1) multiple remote sensing devices that report to a coordination agent or (2) a mobile agent that patrols the required area. In both cases, the problemof adequate sensor coverage exists. In case 1, the problem

Communication Enhanced Navigation Strategies for Teams of Mobile Agents

by Justin Hayes, Martha Mcjunkin - IEEE Robotics and Automation Society, Las Vegas , 2003
"... Abstract — In multi-agent systems engaged in cooperative activities there is an apparent trade-off between the complexity of the individual agents, their sensing capabilities and communication required for accomplishment of particular tasks. One of the main computationally intensive components which ..."
Abstract - Cited by 4 (0 self) - Add to MetaCart
can substantially improve the performance of the team using additional sensing and communication capabilities. In one case the coordinated strategy is motivated by an ant trail following behavior while in another case the line of sight information is used to constrain the movement of individual agents

Distributed, Physics-Based Control of Swarms of Vehicles

by William M. Spears, Diana F. Spears, Jerry C. Hamann, Rodney Heil - Autonomous Robots
"... We introduce a framework, called "physicomimetics," that provides distributed control of large collections of mobile physical agents in sensor networks. The agents sense and react to virtual forces, which are motivated by natural physics laws. Thus, physicomimetics is founded upon solid sc ..."
Abstract - Cited by 107 (26 self) - Add to MetaCart
We introduce a framework, called "physicomimetics," that provides distributed control of large collections of mobile physical agents in sensor networks. The agents sense and react to virtual forces, which are motivated by natural physics laws. Thus, physicomimetics is founded upon solid

Near-Optimal Continuous Patrolling with Teams of Mobile Information Gathering Agents

by R. Str, E. Munoz De Coteb, A. Rogersa, N. R. Jenningsa
"... Autonomous unmanned vehicles equipped with sensors are rapidly becoming the de facto means of achieving situational awareness — the ability to make sense of, and predict what is happening in an environment. Particularly in environments that are subject to continuous change, the use of such teams to ..."
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Autonomous unmanned vehicles equipped with sensors are rapidly becoming the de facto means of achieving situational awareness — the ability to make sense of, and predict what is happening in an environment. Particularly in environments that are subject to continuous change, the use of such teams
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