Skip to main content

23 Result(s)

within Conference Paper Remove this filter John Hallam Remove this filter

previous disabled Page of 2
and

  1. No Access

    Chapter and Conference Paper

    Simulation Environment for the Evaluation and Design of Reactive Obstacle Avoidance Algorithms in UAS Operating in Low Altitude Airspace

    Since UAS operate in a complex and uncertain environment where information is obtained through non-ideal sensors, obstacle avoidance is critical in many missions. However, the performance of avoidance algorith...

    Katarina Borovina, John Hallam in ROBOT 2017: Third Iberian Robotics Conference (2018)

  2. No Access

    Chapter and Conference Paper

    Novel Automatic Filter-Class Feature Selection for Machine Learning Regression

    With the increased focus on application of Big Data in all sectors of society, the performance of machine learning becomes essential. Efficient machine learning depends on efficient feature selection algorithm...

    Morten Gill Wollsen, John Hallam, Bo Nørregaard Jørgensen in Advances in Big Data (2017)

  3. No Access

    Chapter and Conference Paper

    Biomimetic Agent Based Modelling Using Male Frog Calling Behaviour as a Case Study

    A new agent-based modelling tool has been developed to allow the modelling of populations of individuals whose interactions are characterised by tightly timed dynamics. The tool was developed to model male fro...

    Søren V. Jørgensen, Yves Demazeau… in From Animals to Animats 13 (2014)

  4. Chapter and Conference Paper

    Erratum: Ranking vs. Preference: A Comparative Study of Self-reporting

    Georgios N. Yannakakis, John Hallam in Affective Computing and Intelligent Interaction (2011)

    Download PDF (74 KB)

  5. No Access

    Chapter and Conference Paper

    Ranking vs. Preference: A Comparative Study of Self-reporting

    This paper introduces a comparative analysis between rating and pairwise self-reporting via questionnaires in user survey experiments. Two dissimilar game user survey experiments are employed in which the two ...

    Georgios N. Yannakakis, John Hallam in Affective Computing and Intelligent Interaction (2011)

  6. No Access

    Chapter and Conference Paper

    Reconstructing the Acoustic Signal of a Sound Source: What Did the Bat Say?

    When attempting to model and understand bat biosonar behaviour, it would be very useful to know exactly what calls the bat emits, that is, what it really says, in the course of its exploration of the world. Ca...

    Francesco Guarato, John Hallam, Dieter Vanderelst in From Animals to Animats 11 (2010)

  7. No Access

    Chapter and Conference Paper

    Modifying Directionality through Auditory System Scaling in a Robotic Lizard

    The peripheral auditory system of a lizard is strongly directional. This directionality is created by acoustical coupling of the two eardrums and is strongly dependent on characteristics of the middle ear, suc...

    Danish Shaikh, John Hallam, Jakob Christensen-Dalsgaard in From Animals to Animats 11 (2010)

  8. No Access

    Chapter and Conference Paper

    A Braitenberg Lizard: Continuous Phonotaxis with a Lizard Ear Model

    The peripheral auditory system of a lizard is structured as a pressure difference receiver with strong broadband directional sensitivity. Previous work has demonstrated that this system can be implemented as a...

    Danish Shaikh, John Hallam… in Bioinspired Applications in Artificial and… (2009)

  9. No Access

    Chapter and Conference Paper

    Characterisation of Multiple Patterns of Activity in Networks of Relaxation Oscillators with Inhibitory and Electrical Coupling

    Fully-connected neural networks of non-linear half-center oscillators coupled both electrically and synaptically may exhibit a variety of modes of oscillation despite fixed topology and parameters. In suitable...

    Tiaza Bem, John Hallam in Methods and Models in Artificial and Natur… (2009)

  10. No Access

    Chapter and Conference Paper

    HydroGen: Automatically Generating Self-Assembly Code for Hydron Units

    This paper introduces HydroGen, an object compiler system that produces self-assembly instructions for configurations of Hydron units. The Hydron is distinct from other self-reconfigurable robotic units in tha...

    George Konidaris, Tim Taylor, John Hallam in Distributed Autonomous Robotic Systems 6 (2007)

  11. No Access

    Chapter and Conference Paper

    Entertainment Modeling in Physical Play Through Physiology Beyond Heart-Rate

    An investigation into capturing the relation of physiology, beyond heart rate recording, to expressed preferences of entertainment in children’s physical gameplay is presented in this paper. An exploratory sur...

    Georgios N. Yannakakis, John Hallam in Affective Computing and Intelligent Interaction (2007)

  12. No Access

    Chapter and Conference Paper

    Towards Capturing and Enhancing Entertainment in Computer Games

    This paper introduces quantitative measurements/metrics of qualitative entertainment features within computer game environments and proposes artificial intelligence (AI) techniques for optimizing entertainment...

    Georgios N. Yannakakis, John Hallam in Advances in Artificial Intelligence (2006)

  13. No Access

    Chapter and Conference Paper

    Modelling the Peripheral Auditory System of Lizards

    Lizards, such as Mabuya macularia or Gecko gecko, have a relatively simple peripheral auditory system structured as a pressure difference receiver with a strong broadband directional sensitivity. In this paper we...

    Lei Zhang, John Hallam, Jakob Christensen-Dalsgaard in From Animals to Animats 9 (2006)

  14. No Access

    Chapter and Conference Paper

    An Ontology of Robotics Science

    This paper describes ground-breaking work on the creation of an ontology for the domain of robotics as a science. An ontology is a collection of terms, concepts and their inter-relationships, represented in a mac...

    John Hallam, Herman Bruyninckx in European Robotics Symposium 2006 (2006)

  15. No Access

    Chapter and Conference Paper

    Capturing Entertainment Through Heart Rate Dynamics in the Playware Playground

    This paper introduces a statistical approach for capturing enter-tainment in real-time through physiological signals within interactive playgrounds inspired by computer games. For this purpose children’s heart...

    Georgios N. Yannakakis, John Hallam… in Entertainment Computing - ICEC 2006 (2006)

  16. No Access

    Chapter and Conference Paper

    Improved, Simpler Neural Controllers for Lamprey Swimming

    Swimming for the lamprey (an eel-like fish) is governed by activity in its spinal neural network, called a central pattern generator (CPG). Simpler, alternative controllers can be evolved which provide improve...

    Leena N. Patel, John Hallam, Alan Murray in Artificial Neural Networks: Formal Models … (2005)

  17. No Access

    Chapter and Conference Paper

    Studying Animals through Artificial Evolution: The Cricket Case

    In this paper we introduce the notion of historical evidence — the ability to replicate biologically realistic evolutionary scenarios — for hypothesised mechanisms for control of sensorimotor behaviour. We apply ...

    Rens Kortmann, John Hallam in Advances in Artificial Life (1999)

  18. No Access

    Chapter and Conference Paper

    A Learning Mobile Robot: Theory, Simulation and Practice

    We describe the implementation and testing of the kins multi-strategy learning controller for real mobile robot navigation. This controller uses low-level reactive control that is modulated on-line by a learning ...

    Nuno Chalmique Chagas, John Hallam in Learning Robots (1998)

  19. No Access

    Chapter and Conference Paper

    A Retina-like Image Representation of Primal Sketch Features Extracted using a Neural Network Approach

    This paper presents a log-polar image representation composed of low-level features extracted using a connectionist approach. The low level features (edges, bars, blobs and ends) are based on Marr’s primal sketch...

    Herman M. Gomes, Robert B. Fisher… in Noblesse Workshop on Non-Linear Model Base… (1998)

  20. No Access

    Chapter and Conference Paper

    Learning Complex Robot Behaviours by Evolutionary Computing with Task Decomposition

    Building robots can be a tough job because the designer has to predict the interactions between the robot and the environment as well as to deal with them. One solution to cope the difficulties in designing ro...

    Wei-Po Lee, John Hallam, Henrik Hautop Lund in Learning Robots (1998)

previous disabled Page of 2