Now showing items 75-94 of 175

    • Knowledge Compilation and Speedup Learning in Continuous Task Domains 

      Ram, Ashwin; Santamaria, Juan Carlos (Georgia Institute of Technology, 1993)
      Many techniques for speedup learning and knowledge compilation focus on the learning and optimization of macro-operators or control rules in task domains that can be characterized using a problem-space search paradigm. ...
    • Learning Behavioral Parameterization Using Spatio-Temporal Case-Based Reasoning 

      Arkin, Ronald C.; Kaess, Michael; Likhachev, Maxim (Georgia Institute of Technology, 2001)
      This paper presents an approach to learning an optimal behavioral parameterization in the framework of a Case-Based Reasoning methodology for autonomous navigation tasks. It is based on our previous work on a behavior-based ...
    • Learning Momentum: Integration and Experimentation 

      Arkin, Ronald C.; Lee, J. Brian (Georgia Institute of Technology, 2000)
      We further study the effects of learning momentum as defined by Clark, Arkin, and Ram[1] on robots, both simulated and real, attempting to traverse obstacle fields in order to reach a goal. Integration of these results ...
    • Learning Momentum: On-Line Performance Enhancement for Reactive Systems 

      Arkin, Ronald C.; Clark, Russell J.; Ram, Ashwin (Georgia Institute of Technology, 1992)
      We describe a reactive robotic control system which incorporates aspects of machine learning to improve the system's ability to successfully navigate in unfamiliar environments. This system overcomes limitations of completely ...
    • Learning of Parameter-Adaptive Reactive Controllers for Robotic Navigation 

      Ramesh, Ashwin; Santamaria, Juan Carlos (Georgia Institute of Technology, 1997)
      Reactive controllers are widely used in mobile robots because they are able to achieve successful performance in real-time. However, the configuration of a reactive controller depends highly on the operating conditions of ...
    • The Learning of Reactive Control Parameters Through Genetic Algorithms 

      Arkin, Ronald C.; Pearce, Michael; Ram, Ashwin (Georgia Institute of Technology, 1992)
      This paper explores the application of genetic algorithms to the learning of local robot navigation behaviors for reactive control systems. Our approach is to train a reactive control system in various types of environments, ...
    • Learning to Role-Switch in Multi-Robot Systems 

      Arkin, Ronald C.; Martinson, Eric (Georgia Institute of Technology, 2003)
      We present an approach that uses Q-learning on individual robotic agents, for coordinating a mission-tasked team of robots in a complex scenario. To reduce the size of the state space, actions are grouped into sets ...
    • Lek Behavior as a Model for Multi-Robot Systems 

      Duncan, Brittany A.; Ulam, Patrick D.; Arkin, Ronald C. (Georgia Institute of Technology, 2009-01-01)
      Lek behavior is a biological mechanism used by male birds to attract mates by forming a group. This project explores the use of a biological behavior found in many species of birds to form leks to guide the creation of ...
    • Lethal Autonomous Systems and the Plight of the Non-combatant 

      Arkin, Ronald C. (Georgia Institute of Technology, 2013)
    • Lethality and Autonomous Robots: An Ethical Stance 

      Arkin, Ronald C.; Moshkina, Lilia (Georgia Institute of Technology, 2007)
      This paper addresses a difficult issue confronting the designers of intelligent robotic systems: their potential use of lethality in warfare. As part of an ARO-funded study, we are currently investigating the points of ...
    • Lethality and Autonomous Systems: The Roboticist Demographic 

      Moshkina, Lilia; Arkin, Ronald C. (Georgia Institute of Technology, 2008)
      This paper reports the methods and results of an on-line survey addressing the issues surrounding lethality and autonomous systems that was conducted as part of a research project for the U.S. Army Research Office. ...
    • Line-of-Sight Constrained Exploration for Reactive Multiagent Robotic Teams 

      Arkin, Ronald C.; Diaz, Jonathan (Georgia Institute of Technology, 2001)
      In this paper we investigate how a team of robotic agents can self-organize for the exploration of a building subject to the constraint of maintaining line-of-sight communications. Three different behavioral strategies ...
    • Linear 2D Localization and Mapping for Single and Multiple Robot Scenarios 

      Dellaert, Frank; Stroupe, Ashley W. (Georgia Institute of Technology, 2002)
      We show how to recover 2D structure and motion linearly in order to initialize Simultaneous Mapping and Localization (SLAM) for bearings-only measurements and planar motion. The method supplies a good initial estimate ...
    • Local Navigation Strategies for a Team of Robots 

      Arkin, Ronald C.; Sgorbissa, Antonio (Georgia Institute of Technology, 2001)
      Whenever a mobile robot has to deal with an environment that is totally or partially unknown or dynamically changing, local navigation strategies are very important for the robot to successfully achieve its goals. ...
    • Making a Clean Sweep: Behavior-Based Vacuuming 

      MacKenzie, Douglas Christopher; Balch, Tucker (Georgia Institute of Technology, 1993)
    • 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 ...
    • 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 ...
    • Metaphor of Politics: A Mechanism of Coalition Formation 

      Arkin, Ronald C.; Chella, A.; Sorbello, R. (Georgia Institute of Technology, 2004)
      Hybrid Multi-Agent Architectures support mobile robots colonies moving in dynamic, unpredictable and time varying environments to achieve collective team-oriented behaviors for solving complicate and difficult tasks. ...
    • Mission Specification and Control for Unmanned Aerial and Ground Vehicles for Indoor Target Discovery and Tracking 

      Ulam, Patrick D.; Kira, Zsolt; Arkin, Ronald C.; Collins, Thomas R. (Georgia Institute of Technology, 2010)
      This paper describes ongoing research by Georgia Tech into the challenges of tasking and controlling heterogonous teams of unmanned vehicles in mixed indoor/outdoor reconnaissance scenarios. We outline the tools and techniques ...
    • Mobbing Behavior and Deceit and its role in Bioinspired Autonomous Robotic Agents 

      Davis, Justin; Arkin, Ronald C. (Georgia Institute of Technology, 2012)
      Arabian babblers are highly preyed upon avians living in the Israeli desert. The survival of this species is contingent upon successful predator deterrence known as mobbing. Their ability to successfully defend against ...