Now showing items 1-20 of 24

    • An Adaptive Learning Methodology for Intelligent Object Detection in Novel Imagery Data, 

      Howard, Ayanna; Padgett, Curtis (Georgia Institute of TechnologyElsevier, 2003-03)
      The process of robustly identifying targets embedded in a cluttered image scene is a difficult task to accomplish. Such an application must deal with rotation, scaling, and lighting variants of the target as well as handle ...
    • Approximate Reasoning for Safety and Survivability of Planetary Rovers 

      Tunstel, Edward; Howard, Ayanna M. (Georgia Institute of TechnologyElsevier, 2003-02)
      Operational safety and health monitoring are critical matters for autonomous planetary rovers operating on remote and challenging terrain. This paper describes rover safety issues and presents an approximate reasoning ...
    • Assessment of Engagement for Intelligent Educational Agents: A Pilot Study with Middle School Students 

      Brown, LaVonda; Howard, Ayanna M. (Georgia Institute of TechnologyAmerican Society for Engineering Education, 2014)
      Adaptive learning is an educational method that utilizes computers as an interactive teaching device. Intelligent tutoring systems, or educational agents, use adaptive learning techniques to adapt to each student’s ...
    • Automatic Generation of Persistent Formations for Multi-Agent Networks Under Range Constraints 

      Smith, Brian Stephen; Howard, Ayanna; Egerstedt, Magnus B. (Georgia Institute of TechnologySpringer Verlag, 2009-04)
      In this paper we present a collection of graphbased methods for determining if a team of mobile robots, subjected to sensor and communication range constraints, can persistently achieve a specified formation. What we mean ...
    • Behavior-Based Robot Navigation on Challenging Terrain: A Fuzzy Logic Approach 

      Seraji, Homayoun; Howard, Ayanna M. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2002-06)
      This paper presents a new strategy for behavior-based navigation of field mobile robots on challenging terrain, using a fuzzy logic approach and a novel measure of terrain traversability. A key feature of the proposed ...
    • Calibration and Validation of Earth-Observing Sensors Using Deployable Surface-Based Sensor Networks 

      Williams, Stephen; Parker, Lonnie T.; Howard, Ayanna M. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2010-12)
      Satellite-based instruments are now routinely used to map the surface of the globe or monitor weather conditions. However, these orbital measurements of ground-based quantities are heavily influenced by external factors, ...
    • Components, Curriculum, and Community: Robots and Robotics in Undergraduate AI Education 

      Dodds, Zachary; Greenwald, Lloyd; Howard, Ayanna; Tejada, Sheila; Weinberg, Jerry B. (Georgia Institute of TechnologyAssociation for the Advancement of Artificial Intelligence, 2006)
      This editorial introduction presents an overview of the robotic resources available to AI educators and provides context for the articles in this special issue. We set the stage by addressing the trade-offs among a number ...
    • Developing Monocular Visual Odometry and Pose Estimation for Arctic Environments 

      Williams, Stephen; Howard, Ayanna (Georgia Institute of TechnologyJohn Wiley & Sons, 2010-03)
      Arctic regions present one of the harshest environments on Earth for people or mobile robots, yet many important scientific studies, particularly those involving climate change, require measurements from these areas. For ...
    • A generalized approach to real-time pattern recognition in sensed data 

      Howard, Ayanna M.; Padgett, Curtis (Georgia Institute of TechnologyElsevier, 1999-12)
      Many applications that focus on target detection in an image scene develop algorithms specific to the task at hand. These algorithms tend to be dependent on the type of input data used in the application and thus generally ...
    • Global and Regional Path Planners for Integrated Planning and Navigation 

      Howard, Ayanna; Seraji, Homayoun; Werger, Barry (Georgia Institute of TechnologyWiley-Blackwell, 2005-12)
      This paper presents a hierarchical strategy for field mobile robots that incorporates path planning at different ranges. At the top layer is a global path planner that utilizes gross terrain characteristics, such as hills ...
    • An Integrated Approach for Achieving Multi-Robot Task Formations 

      Viguria Jimenez, Luis Antidio; Howard, Ayanna M. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2009-04)
      In this paper, a problem, called the initial formation problem, within the multirobot task allocation domain is addressed. This problem consists in deciding which robot should go to each of the positions of the formation ...
    • An Integrated Sensing Approach for Entry, Descent, and Landing of a Robotic Spacecraft 

      Howard, Ayanna; Jones, Brandon M.; Serrano, Navid (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2011-01)
      We present an integrated sensing approach for enabling autonomous landing of a robotic spacecraft on a hazardous terrain surface; this approach is active during the spacecraft descent profile. The methodology incorporates ...
    • Integrating Virtual and Human Instructors in Robotic Learning Environments 

      Howard, Ayanna; Remy, Sekou (Georgia Institute of TechnologyIPI Press, 2008)
      This paper presents two different approaches for utilizing virtual environments to enable learning for both human and robotic students. In the first approach, we showcase a 3D interactive environment that allows a human ...
    • Intelligent Learning for Deformable Object Manipulation 

      Howard, Ayanna; Bekey, George A. (Georgia Institute of TechnologySpringer Verlag, 2000-08)
      The majority of manipulation systems are designed with the assumption that the objects being handled are rigid and do not deform when grasped. This paper addresses the problem of robotic grasping and manipulation of 3-D ...
    • An intelligent terrain-based navigation system for planetary rovers 

      Howard, Ayanna M.; Seraji, Homayoun (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2001-12)
      A fuzzy logic framework for onboard terrain analysis and guidance towards traversable regions. An onboard terrain-based navigation system for mobile robots operating on natural terrain is presented. This system utilizes a ...
    • A Learning Approach to Enable Locomotion of Multiple Robotic Agents Operating in Natural Terrain Environments 

      Howard, Ayanna; Parker, Lonnie T.; Smith, Brian Stephen (Georgia Institute of TechnologyTSI press, 2008)
      This paper presents a methodology that utilizes soft computing approaches to enable locomotion of multiple legged robotic agents operating in natural terrain environments. For individual robotic control, the locomotion ...
    • Learning Approaches Applied to Human-Robot Interaction for Space Missions 

      Remy, Sekou; Howard, Ayanna (Georgia Institute of TechnologyTSI press, 2008)
      Advances in space science and technology have enabled humanity to reach a stage where we are able to send manned and unmanned vehicles to explore nearby planets. However, given key differences between terrestrial and space ...
    • Multi-sensor terrain classification for safe spacecraft landing 

      Howard, Ayanna M.; Seraji, Homayoun (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2004-10)
      A novel multi-sensor information fusion methodology for intelligent terrain classification is presented. The focus of this research is to analyze safety characteristics of the terrain using imagery data obtained by on-board ...
    • Probabilistic Analysis of Market-Based Algorithms for Initial Robotic Formations 

      Viguria Jimenez, Luis Antidio; Howard, Ayanna (Georgia Institute of TechnologySAGE Publications, 2009-06)
      In this paper, we present a probabilistic analysis approach for analyzing market-based algorithms applied to the initial formation problem. These algorithms determine an assignment scheme for associating individual robots ...
    • Rule-based reasoning and neural network perception for safe off-road robot mobility 

      Tunstel, Edward; Howard, Ayanna M.; Seraji, Homayoun (Georgia Institute of TechnologyWiley-Blackwell, 2002-09)
      Operational safety and health monitoring are critical matters for autonomous field mobile robots such as planetary rovers operating on challenging terrain. This paper describes relevant rover safety and health issues and ...