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    Using Genetic Algorithms to Learn Reactive Control Parameters for Autonomous Robotic Navigation 

    Ram, Ashwin; Arkin, Ronald C.; Boone, Gary Noel; Pearce, Michael (Georgia Institute of Technology, 1994)
    This paper explores the application of genetic algorithms to the learning of local robot navigation behaviors for reactive control systems. Our approach evolves reactive control systems in various environments, thus creating ...
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    Io, Ganymede and Callisto - a Multiagent Robot Trash-Collecting Team 

    Balch, Tucker; Boone, Gary Noel; Collins, Tom; Forbes, Harold; MacKenzie, Douglas Christopher; Santamaria, Juan Carlos (Georgia Institute of Technology, 1995)
    Georgia Tech won the Office Cleanup Event at the 1994 AAAI Mobile Robot Competition with a multi-robot cooperating team. This paper describes the design and implementation of these reactive trash-collecting robots, including ...
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    Behavioral Models of the Praying Mantis as a Basis for Robotic Behavior 

    Ali, Khaled Subhi; Arkin, Ronald C.; Cervantes-Pérez, Francisco; Weitzenfeld, Alfredo (Georgia Institute of Technology, 1999)
    Formal models of animal sensorimotor behavior can provide effective methods for generating robotic intelligence. In this article we describe how schema-theoretic models of the praying mantis derived from behavioral and ...
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    A Neural Schema Architecture for Autonomous Robots 

    Arkin, Ronald C.; Cervantes-Pérez, Francisco; Corbacho, Fernando; Olivares, Roberto; Weitzenfeld, Alfredo (Georgia Institute of Technology, 1998)
    As autonomous robots become more complex in their behavior, more sophisticated software architectures are required to support the ever more sophisticated robotics software. These software architectures must support complex ...
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    Using the CONDENSATION Algorithm for Robust, Vision-Based Mobile Robot Localization 

    Burgard, Wolfram; Dellaert, Frank; Fox, Dieter; Thrun, Sebastian (Georgia Institute of Technology, 1999)
    To navigate reliably in indoor environments, a mobile robot must know where it is. This includes both the ability of globally localizing the robot from scratch, as well as tracking the robot’s position once its location ...
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    Perceptual Support for Ballistic Motion in Docking for a Mobile Robot 

    MacKenzie, Douglas Christopher; Arkin, Ronald C. (Georgia Institute of Technology, 1991)
    This paper describes ongoing research into methods to allow a mobile robot to effectively function in a manufacturing environment; specifically, generation of the ballistic motion phase of the docking behavior. This overall ...
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    Experiments With Reinforcement Learning in Problems With Continuous State and Action Spaces 

    Ram, Ashwin; Santamaria, Juan Carlos; Sutton, Richard S. (Georgia Institute of Technology, 1996)
    A key element in the solution of reinforcement learning problems is the value function. The purpose of this function is to measure the long-term utility or value of any given state and it is important because an agent can ...
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    Model-Based Reconfiguration of Schema-Based Reactive Control Architectures 

    Chen, Zhong; Goel, Ashok K.; Rowland, Paul; Stroulia, Eleni (Georgia Institute of Technology, 1997)
    Reactive methods of control get caught in local minima. Fortunately schema-based reactive control systems have built-in redundancy that enables multiple configurations with different modes. We describe a model-based method ...
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    Development of Visual Tracking Algorithms for an Autonomous Helicopter 

    Arkin, Ronald C.; Cardoze, David Enrique Fabrega (Georgia Institute of Technology, 1995)
    A visual target designation and tracking system is being developed within the context of the Autonomous Scout Rotorcraft Testbed Project at Georgia Tech. This paper describes both the algorithms and the hardware being used ...
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    Visualization of Multi-Level Neural-Based Robotic Systems 

    Arkin, Ronald C.; Cervantes-Pérez, Francisco; Peniche, José Francisco; Weitzenfeld, Alfredo (Georgia Institute of Technology, 1998)
    Autonomous biological systems are very complex in their nature. Their study, through both experimentation and computation, provides a means to understand the underlying mechanisms in living systems while inspiring the ...
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    AuthorBook, Wayne John (66)Arkin, Ronald C. (34)Magee, David P. (13)Balch, Tucker (11)MacKenzie, Douglas Christopher (10)Ram, Ashwin. (10)Santamaria, Juan Carlos (9)Love, Lonnie J. (8)Obergfell, Klaus (7)Cameron, Jonathan M. (6)... View MoreSubjectFlexible manipulators (26)Reactive control (12)Teleoperation (9)Adaptive control (7)Neural networks (7)Path planning (7)Reinforcement learning (7)Mobile robots (6)Vibration reduction (6)Robotic manipulators (5)... View MoreDate Issued1997 (20)1999 (20)1993 (15)1994 (15)1996 (13)1995 (12)1992 (11)1990 (8)1998 (8)1991 (6)Has File(s)Yes (121)No (7)
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