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    Containment Control in Mobile Networks 

    Ji, Meng; Ferrari-Trecate, G.; Egerstedt, Magnus B.; Buffa, A. (Georgia Institute of Technology, 2008-09)
    In this paper, the problem of driving a collection of mobile robots to a given target destination is studied. In particular, we are interested in achieving this transfer in an orderly manner so as to ensure that the agents ...
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    Learning from Examples in Unstructured, Outdoor Environments 

    Sun, J.; Mehta, Tejas R.; Wooden, David; Powers, Matthew; Rehg, J.; Balch, Tucker; Egerstedt, Magnus B. (Georgia Institute of Technology, 2006)
    In this paper, we present a multi-pronged approach to the "Learning from Example" problem. In particular, we present a framework for integrating learning into a standard, hybrid navigation strategy, composed of both ...
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    Automatic Formation Deployment of Decentralized Heterogeneous Multiple-Robot Networks with Limited Sensing Capabilities 

    Smith, Brian Stephen; Wang, Jiuguang; Egerstedt, Magnus B.; Howard, Ayanna M. (Georgia Institute of Technology, 2009-05)
    Heterogeneous multi-robot networks require novel tools for applications that require achieving and maintaining formations. This is the case for distributing sensing devices with heterogeneous mobile sensor networks. ...
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    Geometric Foraging Strategies in Multi-Agent Systems Based on Biological Models 

    Haque, Musad A.; Rahmani, Amir R.; Egerstedt, Magnus B. (Georgia Institute of Technology, 2010-12)
    In nature, communal hunting is often performed by predators by charging through an aggregation of prey. However, it has been noticed that variations exist in the geometric shape of the charging front; in addition, ...
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    Decentralized Classification in Societies of Autonomous and Heterogenous Robots 

    Martini, Simone; Fagiolini, Adriano; Zichittella, Giancarlo; Egerstedt, Magnus B.; Bicchi, Antonio (Georgia Institute of Technology, 2011-05)
    This paper addresses the classification problem for a set of autonomous robots that interact with each other. The objective is to classify agents that "behave" in "different way", due to their own physical dynamics or ...
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    Topology-Induced Connectivity Bounds in Leader-Follower Networks 

    Gustavi, Tove; Dimarogonas, Dimos V.; Egerstedt, Magnus B.; Hu, Xiaoming (Georgia Institute of Technology, 2010-01)
    In this paper we derive a set of constraints that are sufficient to guarantee maintained connectivity in a leader-follower multi- agent network with proximity based communication topology. In the scenario we consider, ...
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    What Are the Ants Doing? Vision-Based Tracking and Reconstruction of Control Programs 

    Egerstedt, Magnus B.; Balch, Tucker; Dellaert, Frank; Delmotte, Florent; Khan, Z. (Georgia Institute of Technology, 2005-04)
    In this paper, we study the problem of going from a real-world, multi-agent system to the generation of control programs in an automatic fashion. In particular, a computer vision system is presented, capable of ...
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    Realization of the Sensor Web Concept for Earth Science Using Mobile Robotic Platforms 

    Howard, Ayanna M.; Smith, Brian Stephen; Egerstedt, Magnus B. (Georgia Institute of Technology, 2007-03)
    In this paper, we discuss the realization of a robotic mobile sensor network that allows for controlled reconfiguration of sensor assets in a decentralized manner. The motivation is to allow the construction of a new ...
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    A Formal Approach to the Automatic Generation of Ballet Motions 

    LaViers, Amy; Chen, Yushan; Belta, Calin; Egerstedt, Magnus B. (Georgia Institute of Technology, 2011-04)
    As cyber-physical systems become more prevalent, specifications for these systems must be formulated in a more nuanced manner. This paper presents a particular instantiation of such specification by proposing a framework ...
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    Symbolic Planning and Control of Robot Motion: State of the Art and Grand Challenges 

    Belta, Calin; Bicchi, Antonio; Egerstedt, Magnus B.; Frazzoli, Emilio; Klavins, Eric; Pappas, George J. (Georgia Institute of Technology, 2007-03)
    In this paper, different research trends that use symbolic techniques for robot motion planning and control are illustrated. As it often happens in new research areas, contributions to this topic started at about the same ...
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    Egerstedt, Magnus (144)
    Rahmani, Amir (11)Haque, Musad A. (10)Ji, Meng (9)Kim, Jonghoek (9)Martin, Patrick (9)Zhang, Fumin (9)Balch, Tucker (7)Hu, Xiaoming (7)Mehta, Tejas R. (7)... View MoreSubjectMobile robots (24)Multi-agent systems (15)Motion description languages (11)Optimal control (11)Control systems (9)Motion control (9)Networked control systems (9)Hybrid systems (8)Multi-agent coordination (8)Path planning (7)... View MoreDate Issued2010 - 2017 (55)2000 - 2009 (85)1999 - 1999 (4)Has File(s)
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