Now showing items 135-154 of 174

    • Reactive Control of a Mobile Manipulator Using Pseudo-Joint Damping 

      Ward, Keith Ronald; Arkin, Ronald C. (Georgia Institute of Technology, 1993)
      Reactive control for mobile manipulation involves a tight coupling of sensors to motor response. Pseudo-forces exerted on the end-effector and limbs of the mobile manipulator must be distributed over the entire structure. ...
    • A Reactive Robot Architecture With Planning on Demand 

      Koenig, Sven; Ranganathan, Ananth (Georgia Institute of Technology, 2003)
      In this paper, we describe a reactive robot architecture that uses fast re-planning methods to avoid the shortcomings of reactive navigation, such as getting stuck in box canyons or in front of small openings. Our robot ...
    • Reactive Robotic Systems 

      Arkin, Ronald C. (Georgia Institute of Technology, 1995)
    • Reactive Speed Control System Based on Terrain Roughness Detection 

      Arkin, Ronald C.; Castelnovi, Mattia; Collins, Thomas Riley (Georgia Institute of Technology, 2004)
      Autonomous outdoor navigation requires the ability to discriminate among different types of terrain. A non-trivial problem is to manage the robot's speed based on terrain roughness. This paper presents a speed control ...
    • Real-Time Cooperative Behavior for Tactical Mobile Robot Teams; Skills Impact Study for Tactical Mobile Robot Operational Units 

      Georgia Institute of Technology. College of Computing; Georgia Tech Research Institute (Georgia Institute of Technology, 2000)
    • Recognizing Nonverbal Affective Behavior in Humanoid Robots 

      Park, Sunghyun; Moshkina, Lilia; Arkin, Ronald C. (Georgia Institute of Technology, 2010)
      This paper describes the addition of nonverbal affective behaviors to a humanoid robot, as well as recognition of these behaviors based on an online survey. The expressive behaviors were implemented in the context of a ...
    • Recognizing Situations that Demand Trust 

      Wagner, Alan R.; Arkin, Ronald C. (Georgia Institute of Technology, 2011)
      This article presents an investigation into the theoretical and computational aspects of trust as applied to robots. It begins with an in-depth review of the trust literature in search of a definition for trust suitable ...
    • Reward and Diversity in Multirobot Foraging 

      Balch, Tucker (Georgia Institute of Technology, 1999)
      This research seeks to quantify the impact of the choice of reward function on behavioral diversity in learning robot teams. The methodology developed for this work has been applied to multirobot foraging, soccer and ...
    • Robot Deception and Squirrel Behavior: A Case Study in Bio-inspired Robotics 

      Shim, Jaeeun; Arkin, Ronald C. (Georgia Institute of Technology, 2014)
      A common behavior in animals and human beings is deception. Deceptive behavior in robotics is potentially beneficial in several domains ranging from the military to a more everyday context. In our research, novel ...
    • Robot Deception: Recognizing when a Robot Should Deceive 

      Wagner, Alan R.; Arkin, Ronald C. (Georgia Institute of Technology, 2009)
      This article explores the possibility of developing robot control software capable of discerning when and if a robot should deceive. Exploration of this problem is critical for developing robots with deception capabilities ...
    • The Robot didn't do it 

      Arkin, Ronald C. (Georgia Institute of Technology, 2012)
    • 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 ...
    • Robotic Discovery of the Auditory Scene 

      Martinson, Eric; Schultz, Alan (Georgia Institute of Technology, 2007)
      In this work, we describe an autonomous mobile robotic system for finding and investigating ambient noise sources in the environment. Motivated by the large negative effect of ambient noise sources on robot audition, ...
    • Robots that Need to Mislead: Biologically-inspired Machine Deception 

      Arkin, Ronald C. (Georgia Institute of Technology, 2012)
    • The Role of Mental Rotations in Primate-inspired Robot Navigation 

      Arkin, Ronald C. (Georgia Institute of Technology, 2012)
      The use of a primate's spatial ability of mental rotation to serve as a basis for robotic navigation has been almost entirely overlooked by the robotics community to date. In this paper, the role of this cognitive capacity ...
    • 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 ...
    • Social Entropy: a New Metric for Learning Multi-Robot Teams 

      Balch, Tucker (Georgia Institute of Technology, 1997)
      As robotics research expands into multiagent tasks and learning, investigators need new tools for evaluating the artificial robot societies they study. Is it enough, for example, just to say a team is "heterogeneous?" ...
    • A Software Tool for the Design of Critical Robot Missions with Performance Guarantees 

      Lyons, Damian M.; Arkin, Ronald C.; Nirmal, Paramesh; Jiang, Shu.; Liu, Tsung-Ming (Georgia Institute of TechnologyElsevier B.V., 2013-03)
      Deploying a robot as part of a counter-weapons of mass destruction mission demands that the robotic software operates with high assurance. A unique feature of robotic software development is the need to perform predictably ...
    • 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 ...