Now showing items 54-73 of 230

    • Data-Driven Generation of Low-Complexity Control Programs 

      Delmotte, Florent; Egerstedt, Magnus B.; Austin, Adam (Georgia Institute of TechnologyNonpareil Publishers, 2004)
      In this paper we study the problem of generating control programs, i.e. strings of symbolic descriptions of control-interrupt pairs (or modes) from input-output data. In particular, we take the point of view that such ...
    • Decentralized Classification in Societies of Autonomous and Heterogenous Robots 

      Martini, Simone; Fagiolini, Adriano; Zichittella, Giancarlo; Egerstedt, Magnus B.; Bicchi, Antonio (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 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 ...
    • Decentralized Degree Regularization for Multi-Agent Networks 

      Yazıcıoğlu, A. Yasin; Egerstedt, Magnus B.; Shamma, Jeff S. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2013-12)
      Networked multi-agent systems are widely modeled as graphs where the agents are represented as nodes and edges exist between the agents that interact directly. In this setting, the degree of a node is the number of edges ...
    • Decentralized Formation of Random Regular Graphs or Robust Multi-Agent Networks 

      Yazıcıoğlu, A. Yasin; Egerstedt, Magnus B.; Shamma, Jeff S. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2014-12)
      Multi-agent networks are often modeled via interaction graphs, where the nodes represent the agents and the edges denote direct interactions between the corresponding agents. Interaction graphs have significant impact on ...
    • Decentralized Formation Selection Mechanisms Inspired by Foraging Bottlenose Dolphins 

      Haque, Musad A.; Egerstedt, Magnus B. (Georgia Institute of Technology, 2008-07)
    • Deformable-Medium Affordances for Interacting with Multi-Robot Systems 

      Diana, Matteo; de la Croix, Jean-Pierre; Egerstedt, Magnus B. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2013-11)
      This paper addresses the issue of human-swarm interactions by proposing a new set of affordances that make a multi-robot system amenable to human control. In particular, we propose to use clay – a deformable medium – as ...
    • The Degree of Nonholonomy in Distributed Computations 

      Costello, Zak; Egerstedt, Magnus B. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2014-12)
      A network of locally interacting agents can be thought of as performing a distributed computation. But not all computations can be faithfully distributed. This paper discusses which global linear transformations can be ...
    • Design, Control, and Applications of Real-World Multi-Robot Systems 

      Kitts, Christopher A.; Egerstedt, Magnus B. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2008-03)
    • Differentially Private Cloud-Based Multi-Agent Optimization with Constraints 

      Hale, M. T.; Egerstedt, Magnus B. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2015-07)
      We present an optimization framework that solves constrained multi-agent optimization problems while keeping each agent’s state differentially private. The agents in the network seek to optimize a local objective function ...
    • Distributed Coordination Control of Multi-Agent Systems While Preserving Connectedness. 

      Ji, Meng; Egerstedt, Magnus B. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2007-08)
      This paper addresses the connectedness issue in multiagent coordination, i.e., the problem of ensuring that a group of mobile agents stays connected while achieving some performance objective. In particular, we study ...
    • Distributed Dynamic Density Coverage for Human-Swarm Interactions 

      Diaz-Mercado, Yancy; Lee, Sung G.; Egerstedt, Magnus B. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2015-07)
      This paper presents two approaches to externally influence a team of robots by means of time-varying density functions. These density functions represent rough references for where the robots should be located. ...
    • Distributed Formation Control While Preserving Connectedness 

      Ji, Meng; Egerstedt, Magnus B. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2006-12)
      This paper addresses the connectedness issue in multi-agent coordination, i.e. the problem of ensuring that the group stays connected while achieving some performance objective. In particular, we continue our previous ...
    • Distributed Power Allocation in Prosumer Networks 

      Ramachandran, Thiagarajan; Costello, Zak; Kingston, Peter; Grijalva, Santiago; Egerstedt, Magnus B. (Georgia Institute of TechnologyElsevier, 2012-09)
      Due to requirements of renewable and distributed energy integration,sustainability and energy security, the existing power grid is undergoing radical changes.The lines between producers and consumers are becoming blurred. ...
    • Distributed Scheduling for Air Traffic Throughput Maximization During the Terminal Phase of Flight 

      Chipalkatty, Rahul; Rahmani, Amir R.; Egerstedt, Magnus B.; Twu, Philip Y. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2010-12)
      FAA’s NextGen program aims at increasing the capacity of the national airspace, while ensuring the safety of aircraft. This paper provides a distributed merging and spacing algorithm that maximizes the throughput at the ...
    • Distributed-Infrastructure Multi-Robot Routing using a Helmholtz-Hodge Decomposition 

      Kingston, Peter; Egerstedt, Magnus B. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2011-12)
      Using graphs and simplicial complexes as models for an environment containing a large number of agents, we provide distributed algorithms based on the Helmholtz-Hodge decomposition that, given desired flow rates on edges ...
    • Distribution of Agents in Heterogeneous Multi Agent Systems 

      Abbas, Waseem; Egerstedt, Magnus B. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2011-12)
      Heterogeneous multiagent systems are useful for performing various complex distributed tasks. The effectiveness and scope of service such systems provide, can be attributed to the distribution of agents of different types ...
    • Distribution of Agents with Multiple Capabilities in Heterogeneous Multiagent Networks – A Graph Theoretic View 

      Abbas, Waseem; Egerstedt, Magnus B. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2012-12)
      In this paper, we investigate how to distribute agents of different types in heterogeneous multiagent systems. Heterogeneity can for instance be related to various resources and capabilities agents may have. We insist that ...
    • Duty Cycle Scheduling in Dynamic Sensor Networks for Controlling Event Detection Probabilities 

      Jaleel, Hassan; Rahmani, Amir R.; Egerstedt, Magnus B. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2011-06)
      A sensor network comprising of RF or radar-based sensors has a deteriorating performance in that the effective sensor footprint shrinks as the power level decreases. Power is typically only drawn from the sensor nodes when ...
    • Dynamic Chess: Strategic Planning for Robot Motion 

      Kunz, Tobias; Kingston, Peter; Stilman, Mike; Egerstedt, Magnus B. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2011-05)
      We introduce and experimentally validate a novel algorithmic model for physical human-robot interaction with hybrid dynamics. Our computational solutions are complementary to passive and compliant hardware. We focus on ...
    • Dynamic Spectral Clustering 

      LaViers, Amy; Rahmani, Amir R.; Egerstedt, Magnus B. (Georgia Institute of Technology, 2010-07)
      Clustering is a powerful tool for data classification; however, its application has been limited to analysis of static snapshots of data which may be time-evolving. This work presents a clustering algorithm that employs a ...