Now showing items 1-16 of 16

    • Behavior-Grounded Representation of Tool Affordances 

      Stoytchev, Alexander (Georgia Institute of Technology, 2005)
      This paper introduces a novel approach to representing and learning tool affordances by a robot. The tool representation described here uses a behavior-based approach to ground the tool affordances in the behavioral ...
    • 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 ...
    • Beyond Humanoid Emotions: Incorporating Traits, Attitudes and Moods 

      Moshkina, Lilia; Arkin, Ronald C. (Georgia Institute of Technology, 2009)
      No longer does the idea of robot emotions seem far-fetched; not their experiential side, of course, but rather those manifestations of emotion, especially in robots created in human likeness, which would be beneficial for ...
    • The Coordination of Deliberative Reasoning in a Mobile Robot 

      Ulam, Patrick D. (Georgia Institute of Technology, 2009)
      This paper examines the problem of how a mobile robot may coordinate among multiple, possibly conflicting deliberative processes for reasoning about object interactions in a soccer domain. This paper frames deliberative ...
    • Ecological Robotics: A Schema-Theoretic Approach 

      Arkin, Ronald C.; Cervantes-Pérez, Francisco; Weitzenfeld, Alfredo (Georgia Institute of Technology, 1997)
      The goals of this joint U.S.-Mexico research project are threefold: to provide an understanding and means by which fielded robotic systems are not competing with other agents that are more effective at their designated ...
    • Implementing Schema-Theoretic Models of Animal Behavior in Robotic Systems 

      Ali, Khaled Subhi; Arkin, Ronald C. (Georgia Institute of Technology, 1998)
      Formal models of animal sensorimotor behavior can provide effective methods for generating robotic intelligence. In this paper we describe how schema-theoretic models of the praying mantis are implemented on a hexapod ...
    • 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 ...
    • Multi-Robot Communication-Sensitive Reconnaissance 

      Arkin, Ronald C.; Wagner, Alan (Georgia Institute of Technology, 2003)
      This paper presents a method for multi-robot communication-sensitive reconnaissance. This approach utilizes collections of precompiled vector fields in parallel to coordinate a team of robots in a manner that is responsive ...
    • Neuronal Networks Working at Multiple Temporal Scales as a Basis for Amphibia’s Prey-Catching Behavior 

      Arkin, Ronald C.; Flores-Castillo, Luis R.; Cervantes-Pérez, Francisco; Weitzenfeld, Alfredo (Georgia Institute of Technology, 2000)
      We analyze a model of neuronal mechanisms underlying amphibia’s prey-catching behavior, integrating hypotheses generated within different areas of Neuroscience and studying how the efficacy of visual prey-like dummies to ...
    • Robotic Comfort Zones 

      Arkin, Ronald C.; Likhachev, Maxim (Georgia Institute of Technology, 2000)
      This paper investigates how the psychological notion of comfort can be useful in the design of robotic systems. A review of the existing study of human comfort, especially regarding its presence in infants, is conducted ...
    • Selection of Behavioral Parameters: Integration of Discontinuous Switching via Case-Based Reasoning with Continuous Adaptation via Learning Momentum 

      Arkin, Ronald C.; Lee, J. Brian; Likhachev, Maxim (Georgia Institute of Technology, 2001)
      This paper studies the effects of the integration of two learning algorithms, Case-Based Reasoning (CBR) and Learning Momentum (LM), for the selection of behavioral parameters in real-time for robotic navigational ...
    • Spatio-Temporal Case-Based Reasoning for Behavioral Selection 

      Arkin, Ronald C.; Likhachev, Maxim (Georgia Institute of Technology, 2000)
      This paper presents the application of a Case-Based Reasoning approach to the selection and modification of behavioral assemblage parameters. The goal of this research is to achieve an optimal parameterization of robotic ...
    • Spatio-Temporal Case-Based Reasoning for Efficient Reactive Robot Navigation 

      Likhachev, Maxim; Kaess, Michael; Kira, Zsolt; Arkin, Ronald C. (Georgia Institute of Technology, 2005)
      This paper presents an approach to automatic selection and modification of behavioral assemblage parameters for autonomous navigation tasks. The goal of this research is to make obsolete the task of manual configuration ...
    • Towards Performance Guarantees for Emergent Behavior 

      Arkin, Ronald C.; Lyons, Damian M. (Georgia Institute of Technology, 2003)
      It is important to be able to guarantee the safety and effectiveness of robot behavior in applications where robots must operate alongside people or in hazardous situations. A modeling framework based on port automata and ...
    • Value-Based Communication Preservation for Mobile Robots 

      Balch, Tucker; Powers, Matthew (Georgia Institute of Technology, 2003)
      Value-Based Communication Preservation (VBCP) is a behavior-based, computationally efficient approach to maintaining line-of-sight RF communication between members of robot teams in the context of other tasks. The goal ...
    • 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 ...