Now showing items 449-468 of 1540

    • Engaging Children In Social Behavior: Interaction With a Robot Playmate Through Tablet-based Apps 

      Park, Hae Won; Howard, Ayanna M. (Georgia Institute of TechnologyRehabilitation Engineering and Assistive Technology Society of North America, 2014)
      There has been an emerging use of touchscreen-based smart devices, such as the iPad, for assisting in education and communication interventions for children with Autism Spectrum Disorder (ASD). There has also been ...
    • Enhancing Fuzzy Robot Navigation Systems by Mimicking Human Visual Perception of Natural Terrain Traversability 

      Howard, Ayanna M.; Tunstel, Edward; Edwards, Dean; Carlson, Alan (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2001-07)
      This paper presents a technique for learning to assess terrain traversability for outdoor mobile robot navigation using human-embedded logic and real-time perception of terrain features extracted from image data. The ...
    • Enhancing Interaction Through Exaggerated Motion Synthesis 

      Gielniak, Michael J.; Thomaz, Andrea L. (Georgia Institute of Technology, 2012-03)
      Other than eye gaze and referential gestures (e.g. pointing), the relationship between robot motion and observer attention is not well understood. We explore this relationship to achieve social goals, such as influencing ...
    • Entangled granular media 

      Gravish, Nick; Franklin, Scott V.; Hu, David L.; Goldman, Daniel I. (Georgia Institute of TechnologyAmerican Physical Society, 2012-05-17)
      We study the geometrically induced cohesion of ensembles of granular“u particles” that mechanically entangle through particle interpenetration. We vary the length-to-width ratio l/w of the u particles and form them into ...
    • Environment Estimation for Enhanced Impedance Control 

      Love, Lonnie J.; Book, Wayne John (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 1995-05)
      Impedance control is a popular method of controlling the dynamic response a robot has to external forces. The advantage of such a control paradigm is the ability to manipulate in both unconstrained and constrained environments. ...
    • Envisioning: Mental Rotation-based Semi-reactive Robot Control 

      Arkin, Ronald C.; Dellaert, Frank; Devassy, Joan (Georgia Institute of Technology, 2012)
      This paper describes ongoing research into the role of optic-flow derived spatial representations and their relation to cognitive computational models of mental rotation in primates, with the goal of producing effective ...
    • Equations of Motion for Dynamically Stable Mobile Manipulators 

      Dantam, Neil; Kolhe, Pushkar; Stilman, Mike (Georgia Institute of Technology, 2010-12-14)
    • Estimation and Guidance Strategies for Vision-based Target Tracking 

      Calise, Anthony J.; Johnson, Eric N.; Sattigeri, Ramachandra J.; Watanabe, Yoko; Madyastha, Venkatesh (Georgia Institute of TechnologyAACC, 2005-06)
      This paper discusses estimation and guidance strategies for vision-based target tracking. Specific applications include formation control of multiple unmanned aerial vehicles (UAVs) and air-to-air refueling. We assume that ...
    • Estimation-informed, Resource-aware Robot Navigation for Environmental Monitoring Applications 

      Parker, Lonnie T.; Coogle, Richard A.; Howard, Ayanna M. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2013-05)
      Environmental monitoring of spatially-distributed geo-physical processes (e.g., temperature, pressure, or humidity) requires efficient sampling schemes, particularly, when employing an autonomous mobile agent to execute ...
    • The Ethics of Robotic Deception 

      Arkin, Ronald C. (Georgia Institute of Technology, 2011)
    • An Ethological and Emotional Basis for Human-Robot Interaction 

      Arkin, Ronald C.; Fujita, Masahiro; Hasegawa, Rika; Takagi, Tsuyoshi (Georgia Institute of Technology, 2002)
      This paper presents the role of ethological and emotional models as the basis for an architecture in support of entertainment robotic systems. Specific examples for Sony’s AIBO are presented as well as extensions related ...
    • Ethological Modeling and Architecture for an Entertainment Robot 

      Arkin, Ronald C.; Fujita, Masahiro; Hasegawa, Rika; Takagi, Tsuyoshi (Georgia Institute of Technology, 2001)
      This paper presents a novel method for creating high-fidelity models of animal behavior for use in robotic systems based on a behavioral systems approach, and describes in particular how an ethological model of a domestic ...
    • European Robot Symposium - 2006 

      Christensen, Henrik I.; Georgia Institute of Technology. College of Computing; Georgia Institute of Technology. Center for Robotics and Intelligent Machines (Georgia Institute of TechnologySpringer Verlag, 2006-03)
    • Evaluating the Usability of Robot Programming Toolsets 

      Arkin, Ronald C.; MacKenzie, Douglas Christopher (Georgia Institute of Technology, 1997-10-14)
      The days of specifying missions for mobile robots using traditional programming languages such as C++ and LISP are coming to an end. The need to support operators lacking programming skills coupled with the increasing ...
    • Evaluation of Passing Distance for Social Robots 

      Pacchierotti, Elena; Christensen, Henrik I.; Jensfelt, Patric (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2006-09)
      Casual encounters with mobile robots for nonexperts can be a challenge due to lack of an interaction model. The present work is based on the rules from proxemics which are used to design a passing strategy. In narrow ...
    • Evolutionary Development of Hierarchical Learning Structures 

      Elfwing, Stefan; Uchibe, Eiji; Doya, Kenji; Christensen, Henrik I. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2007-04)
      Hierarchical reinforcement learning (RL) algorithms can learn a policy faster than standard RL algorithms. However, the applicability of hierarchical RL algorithms is limited by the fact that the task decomposition has ...
    • Examining the learning effects of a low-cost haptic-based virtual reality simulator on laparoscopic cholecystectomy 

      Park, Chung Hyuk; Wilson, Kenneth L.; Howard, Ayanna M. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2013-06)
      Virtual reality (VR) surgical training can be a potentially useful method for improving practicing surgical skills. However, the current literature on VR training has not discussed the efficacy of VR systems that are useful ...
    • An Excavator Simulator for Determining the Principles of Operator Efficiency for Hydraulic Multi-DOF Systems 

      Elton, Mark D.; Book, Wayne John (Georgia Institute of Technology, 2011-03)
      This paper discusses an excavator simulator constructed to evaluate the effects of human-machine interfaces (HMIs) on operator productivity. Simulation allows for standardization of the machine and environment and is less ...
    • Executive Decision Support: Single-Agent Control of Multiple UAVs 

      Ding, Xu Chu; Powers, Matthew; Egerstedt, Magnus B.; Young, Shih-Yih (Ryan); Balch, Tucker (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2009-05)
      One challenge facing coordination and deployment of unmanned aerial vehicles (UAVs) today is the amount of human involvement needed to carry out a successful mission. Currently, control and coordination of UAVs typically ...
    • The Expectation Maximization Algorithm 

      Dellaert, Frank (Georgia Institute of Technology, 2002)
      This note represents my attempt at explaining the EM algorithm. This is just a slight variation on Tom Minka's tutorial, perhaps a little easier (or perhaps not). It includes a graphical example to provide some intuition.