Now showing items 96-115 of 187

    • 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 ...
    • Mixed-Initiative Human-Robot Interaction: Definition, Taxonomy, and Survey 

      Jiang, Shu; Arkin, Ronald C. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2015-10)
      The objectives of this article are: 1) to present a taxonomy for mixed-initiative human-robot interaction and 2) to survey its state of practice through the examination of past research along each taxonomical dimension. ...
    • 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 ...
    • Mobile Robots at Your Fingertip: Bezier Curve On-line Trajectory Generation for Supervisory Control 

      Arkin, Ronald C.; Hwang, Jung-Hoon; Kwon, Dong-Soo (Georgia Institute of Technology, 2003)
      A new interfacing method is presented to control mobile robot(s) in a supervised manner. Mobile robots often provide global position information to an operator. This research describes a method whereby the operator ...
    • Model-Based Echolocation of Environmental Objects 

      Arkin, Ronald C.; Santamaria, Juan Carlos (Georgia Institute of Technology, 1995)
      This paper presents an algorithm that can recognize and localize objects given a model of their contours using only ultrasonic range data. The algorithm exploits a physical model of the ultrasonic beam and combines several ...
    • 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 ...
    • Modeling Cross-Sensory and Sensorimotor Correlations to Detect and Localize Faults in Mobile Robots 

      Kira, Zsolt (Georgia Institute of Technology, 2007)
      We present a novel framework for learning crosssensory and sensorimotor correlations in order to detect and localize faults in mobile robots. Unlike traditional fault detection and identification schemes, we do not use ...
    • Modeling Robot Differences by Leveraging a Physically Shared Context 

      Kira, Zsolt; Long, Kathryn (Georgia Institute of Technology, 2007)
      Knowledge sharing, either implicit or explicit, is crucial during development as evidenced by many studies into the transfer of knowledge by teachers via gaze following and learning by imitation. In the future, the ...
    • Modeling the Effects of Mass and Age Variation in Wolves to Explore the Effects of Heterogeneity in Robot Team Composition 

      Madden, John D.; Arkin, Ronald C. (Georgia Institute of Technology, 2011)
      No two wolves are the same. Some of the variations between individuals such as variation in mass and age have major implications on their hunting abilities. The predatory success of a wolf pack has been found to depend ...
    • Monte Carlo Localization for Mobile Robots 

      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. Thus, reliable position estimation is a key problem in mobile robotics. We believe that probabilistic approaches are among the most ...
    • Mood as an Affective Component for Robotic Behavior with Continuous Adaptation via Learning Momentum 

      Park, Sunghyun; Moshkina, Lilia; Arkin, Ronald C. (Georgia Institute of Technology, 2010)
      The design and implementation of mood as an affective component for robotic behavior is described in the context of the TAME framework – a comprehensive, time-varying affective model for robotic behavior that encompasses ...
    • Moral Decision-making in Autonomous Systems: Enforcement, Moral Emotions, Dignity, Trust and Deception 

      Arkin, Ronald C.; Ulam, Patrick D.; Wagner, Alan R. (Georgia Institute of Technology, 2011)
      As humans are being progressively pushed further downstream in the decision-making process of autonomous systems, the need arises to ensure that moral standards, however defined, are adhered to by these robotic artifacts. ...
    • Moral Emotions for Robots 

      Arkin, Ronald C. (Georgia Institute of Technology, 2011)
    • Moral Emotions, Robots, and their Role in Managing Stigma in Early Stage Parkinson’s Disease Caregiving 

      Arkin, Ronald C.; Pettinati, Michael J. (Georgia Institute of Technology, 2014)
      Early stage Parkinson’s disease is characterized by facial masking that reduces the ability for a caregiver to effectively comprehend the emotional state of a patient. We are studying the introduction of a robotic ...
    • Moving Up the Food Chain: Motivation and Emotion in Behavior-Based Robots 

      Arkin, Ronald C. (Georgia Institute of Technology, 2003)
      This article investigates the commonalities between motivations and emotions as evidenced in a broad range of animal models, including humans. In particular, a focus is placed on how these models can have utility within ...
    • Multi-Method Learning and Assimilation 

      Takamuku, Shinya; Arkin, Ronald C. (Georgia Institute of Technology, 2007)
      Considering the wide range of possible behaviors to be acquired for domestic robots, applying a single learning method is clearly insufficient. In this paper, we propose a new strategy for behavior acquisition for domestic ...
    • 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 ...
    • Multi-robot System Based on Model of Wolf Hunting Behavior to Emulate Wolf and Elk Interactions 

      Madden, John D.; Arkin, Ronald C.; MacNulty, Daniel R. (Georgia Institute of Technology, 2010)
      Wolves are one of the most successful large predators on earth. Their success is made apparent by their presence in most northern ecosystems. They owe much of this success to their generalized hunting behavior which allows ...
    • Multi-Robot User Interface Modeling 

      Wagner, Alan R.; Endo, Yoichiro; Ulam, Patrick D.; Arkin, Ronald C. (Georgia Institute of Technology, 2006)
      This paper investigates the problem of user interface design and evaluation for autonomous teams of heterogeneous mobile robots. We explore an operator modeling approach to multi-robot user interface evaluation. Specifically ...