Now showing items 96-115 of 174

    • 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 ...
    • Multiagent Mission Specification and Execution 

      Arkin, Ronald C.; Cameron, Jonathan M.; MacKenzie, Douglas Christopher (Georgia Institute of Technology, 1997)
      Specifying a reactive behavioral configuration for use by a multiagent team requires both a careful choice of the behavior set and the creation of a temporal chain of behaviors which executes the mission. This difficult ...
    • Multiagent Teleautonomous Behavioral Control 

      Ali, Khaled Subhi; Arkin, Ronald C. (Georgia Institute of Technology, 1997)
      Multiagent schema-based reactive robotic systems are complemented with the addition of a new behavior controlled by a human operator. This enables the whole society to be affected as a group rather than forcing the operator ...
    • The Multiple Dimensions of Action-Oriented Robotic Perception: Fission, Fusion, and Fashion 

      Arkin, Ronald C. (Georgia Institute of Technology, 1991)
      Action-oriented perception provides an alternative to traditional high-level image understanding for the roboticist. By channeling sensory perception directly to motor behaviors (sensor fission) without mediating global ...
    • A Multistrategy Case-Based and Reinforcement Learning Approach to Self-Improving Reactive Control Systems for Autonomous Robotic Navigation 

      Ram, Ashwin; Santamaria, Juan Carlos (Georgia Institute of Technology, 1993)
      This paper presents a self-improving reactive control system for autonomous robotic navigation. The navigation module uses a schema-based reactive control system to perform the navigation task. The learning module ...
    • Multistrategy Learning in Reactive Control Systems for Autonomous Robotic Navigation 

      Ram, Ashwin; Santamaria, Juan Carlos (Georgia Institute of Technology, 1993)
      This paper presents a self-improving reactive control system for autonomous robotic navigation. The navigation module uses a schema-based reactive control system to perform the navigation task. The learning module combines ...