Now showing items 834-853 of 1592

    • Long-term study of portable field robots in urban terrain 

      Lundberg, Carl; Christensen, Henrik; Reinhold, Roger (Georgia Institute of TechnologyAssociation for Computing Machinery, 2006-08)
    • Longitudinal Motion Planning for Slung-Loads Using Simplified Models and Rapidly-Exploring Random Trees 

      Johnson, Eric N.; Mooney, John G. (Georgia Institute of Technology, 2015-01)
      A randomized motion-planning approach to providing guidance for helicopters with under-slung loads is presented. Rapidly-exploring Random Trees are adapted to plan trajectories for simplified helicopter-load models. Four ...
    • Loopy SAM 

      Ranganathan, Ananth; Kaess, Michael; Dellaert, Frank (Georgia Institute of TechnologyIJCAI, 2007-01)
      Smoothing approaches to the Simultaneous Localization and Mapping (SLAM) problem in robotics are superior to the more common filtering approaches in being exact, better equipped to deal with non-linearities, and computing ...
    • Low cost automation with lighter, versatile machines 

      Book, Wayne John (Georgia Institute of TechnologyPublished for the International Federation of Automatic Control by Pergamon Press, 1986-11)
      This paper describes the opportunities for improving the cost/performance ratio for industrial robots and other industrial equipment through reduction in their weight. Also described are four approaches to taking advantage ...
    • Low-Dimensional Learning for Complex Robots 

      O’Flaherty, Rowland; Egerstedt, Magnus (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2015-01)
      This paper presents an algorithm for learning the switching policy and the boundaries conditions between primitive controllers that maximize the translational movements of a complex locomoting system. The algorithm ...
    • A Lower Bound for Controlled Lagrangian Particle Tracking Error 

      Szwaykowska, Klementyna; Zhang, Fumin (Georgia Institute of Technology, 2010-12)
      Autonomous underwater vehicles are flexible mobile platforms for ocean sampling and surveillance missions. However, navigation of these vehicles in unstructured, highly variable ocean environments poses a significant ...
    • The M-Space Feature Representation for SLAM 

      Folkesson, John; Jensfelt, Patric; Christensen, Henrik I. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2007-10)
      In this paper, a new feature representation for simultaneous localization and mapping (SLAM) is discussed. The representation addresses feature symmetries and constraints explicitly to make the basic model numerically ...
    • Mach cone in a shallow granular fluid 

      Heil, Patrick; Rericha, Erin C.; Goldman, Daniel I.; Swinney, Harry L. (Georgia Institute of TechnologyAmerican Physical Society, 2004-12-23)
      We study the V-shaped wake (Mach cone) formed by a cylindrical rod moving through a thin, vertically vibrated granular layer. The wake, analogous to a shock (hydraulic jump) in shallow water, appears for rod velocities vR ...
    • Machine learning and dynamic programming algorithms for motion planning and control 

      Arslan, Oktay (Georgia Institute of Technology, 2015-11-16)
      Robot motion planning is one of the central problems in robotics, and has received considerable amount of attention not only from roboticists but also from the control and artificial intelligence (AI) communities. Despite ...
    • Magnetic Capsule Robots for Gastrointestinal Endoscopy and Abdominal Surgery 

      Valdastri, Pietro (Georgia Institute of Technology, 2013-09-04)
      The talk will move from capsule robots for gastrointestinal endoscopy toward a new generation of surgical robots and devices, having a relevant reduction in invasiveness as the main driver for innovation. Wireless capsule ...
    • Make Your Robot Talk Correctly: Deriving Models of Hybrid System 

      Dantam, Neil; Stilman, Mike; Egerstedt, Magnus B. (Georgia Institute of Technology, 2011-07)
      Using both formal language and differential equations to model a robotic system, we introduce a calculus of transformation rules for the symbolic derivation of hybrid controllers. With a Context-Free Motion Grammar, we ...
    • Making a Clean Sweep: Behavior-Based Vacuuming 

      MacKenzie, Douglas Christopher; Balch, Tucker (Georgia Institute of Technology, 1993)
    • Manipulability of Leader-Follower Networks with the Rigid-Link Approximation 

      Kawashima, Hiroaki; Egerstedt, Magnus (Georgia Institute of TechnologyElsevier, 2014-03)
      This paper introduces the notion of manipulability to mobile, multi-agent networks as a tool to analyze the instantaneous effectiveness of injecting control inputs at certain, so-called leader nodes in the network. ...
    • The Manipulation Action Grammar: A Key to Intelligent Robots 

      Aloimonos, Yiannis (2016-04-06)
      Humanoid robots will need to learn the actions that humans perform. They will need to recognize these actions when they see them and they will need to perform these actions themselves. In this presentation, it is proposed ...
    • Manipulation Planning Among Movable Obstacles. 

      Stilman, Mike; Schamburek, Jan-Ullrich; Kuffner, James; Asfour, Tamin (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2007-04)
      This paper presents the ResolveSpatialConstraints (RSC) algorithm for manipulation planning in a domain with movable obstacles. Empirically we show that our algorithm quickly generates plans for simulated articulated ...
    • Manipulation Planning with Soft Task Constraints 

      Kunz, Tobias; Stilman, Mike (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2012-10)
      We present a randomized configuration space planner that enforces soft workspace task constraints. A soft task constraint allows an interval of feasible values while favoring a given exact value. Previous work only allows ...
    • Map-based Priors for Localization 

      Oh, Sang Min; Tariq, Sarah; Walker, Bruce N.; Dellaert, Frank (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2004-09)
      Localization from sensor measurements is a fundamental task for navigation. Particle filters are among the most promising candidates to provide a robust and realtime solution to the localization problem. They instantiate the ...
    • Mapping Grounded Object Properties Across Perceptually Heterogeneous Embodiments 

      Kira, Zsolt (Georgia Institute of Technology, 2009)
      As robots become more common, it becomes increasingly useful for them to communicate and effectively share knowledge that they have learned through their individual experiences. Learning from experiences, however, is ...
    • March of the SandBots 

      Goldman, Daniel I.; Komsuoglu, Haldun; Koditschek, Daniel E. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2009-04)
      Goldman at Georgia Tech, Koditschek and Komsuoglu at the University of Pennsylvania, in Philadelphia, and other collaborators - are hoping that by studying the zebra-tailed lizard and a menagerie of other desert-dwelling ...
    • Marco Polo Localization 

      Dellaert, Frank; Martinson, Eric Beowulf (Georgia Institute of Technology, 2003)
      We introduce the Marco Polo Localization approach, where we apply sound as a tool for gathering range measurements between robots, and use those to solve a range-only Simultaneous Localization and Mapping problem. Range ...