Now showing items 220-230 of 230

    • Team-Level Properties for Haptic Human-Swarm Interactions 

      Setter, Tina; Kawashima, Hiroaki; Egerstedt, Magnus B. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2015-07)
      This paper explores how haptic interfaces should be designed to enable effective human-swarm interactions. When a single operator is interacting with a team of mobile robots, there are certain properties of the team ...
    • Temporal Heterogeneity and the Value of Slowness in Robotic Systems 

      Arkin, Ronald C.; Egerstedt, Magnus B. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2015-12)
      Robot teaming is a well-studied area, but little research to date has been conducted on the fundamental benefits of heterogeneous teams and virtually none on temporal heterogeneity, where timescales of the various ...
    • A Tight Lower Bound on the Controllability of Networks with Multiple Leaders 

      Yazıcıoğlu, A. Yasin; Abbas, Waseem; Egerstedt, Magnus B. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2012-12)
      In this paper we study the controllability of networked systems with static network topologies using tools from algebraic graph theory. Each agent in the network acts in a decentralized fashion by updating its state in ...
    • Time and Output Warping of Control Systems: Comparing and Imitating Motions 

      Kingston, Peter; Egerstedt, Magnus B. (Georgia Institute of TechnologyAmerican Automatic Control Council, 2010-07)
      How can one system "mimic" a motion generated by another? To address this question we introduce an optimal tracking problem which additionally optimizes over functions which deform or "warp" the time axis and the output ...
    • Time and Output Warping of Control Systems: Comparing and Imitating Motions 

      Kingston, Peter; Egerstedt, Magnus B. (Georgia Institute of TechnologyElsevier, 2011)
      The problem of making one system "mimic" a motion generated by another is studied. To address this, an optimal tracking problem is introduced that, in addition to tracking, optimizes over functions that deform or “warp” ...
    • Timing Control of Switched Systems with Applications to Robotic Marionettes 

      Martin, Patrick; Egerstedt, Magnus B. (Georgia Institute of TechnologySpringer, 2010-05)
      We present an optimal timing control formulation for the problem of controlling autonomous puppets. In particular, by appropriately timing the different movements, entire plays can be performed. Such plays are produced by ...
    • Topology and Complexity of Formations 

      Muhammad, Abubakr; Egerstedt, Magnus B. (Georgia Institute of Technology, 2003-12)
      Biological multi-agent systems such as animal herds, insect colonies and fish schools provide a lot of insight into the study and design of artificial multi-agent systems such as teams of autonomous mobile robots. ...
    • Topology-Induced Connectivity Bounds in Leader-Follower Networks 

      Gustavi, Tove; Dimarogonas, Dimos V.; Egerstedt, Magnus B.; Hu, Xiaoming (Georgia Institute of TechnologyElsevier, 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, ...
    • Towards Power-Aware Rendezvous 

      Jaleel, Hassan; Bopardikar, Shaunak D.; Egerstedt, Magnus B. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2011-12)
      In this paper we connect the power consumed by agents in a network to how much they move. In other words, by moving around, the agents’ power levels decrease, which in turn impacts the range at which they can sense/communicate ...
    • A Variational Approach to Constructivist Learning for Mobile Robot Navigation 

      Mehta, Tejas R.; Egerstedt, Magnus B. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2007-12)
      In this paper, we present a constructivist approach for the Learning by Example problem, where control laws (or behaviors) are learned in order to approximate a training trajectory. The new behaviors are learned by ...
    • 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 TechnologyInstitute of Electrical and Electronics Engineers, 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 ...