Browsing Intelligent Robotics Group by Title

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  • Baldassare, Gianluca; Mirolli, Marco; Mannella, Francesco; Caligiore, Daniele; Visalberghi, Elisabetha; Natale, Francesco; Truppa, Valentina; Sabbatini, Gloria; Guglielmelli, Eugenio; Keller, Flavio; Campolo, Domenico; Redgrave, Peter; Gurney, Kevin; Stafiord, Tom; Triesch, Jochen; Weber, Cornelius; Rothkopf, Constantin; Nehmzow, Ulrich; Condell, Joan; Siddique, Mia; Lee, Mark; Hülse, Martin; Schmidhuber, Juergen; Gomez, Faustino; Foester, Alexander; Togelius, Julian; Barto, Andrew (Lund University Cognitive Science, 2009-12-01)
    This short paper presents the core ideas of the IM-CLeVeR Project. IM-CLeVeR aims at developing a new methodology for designing robot controllers that can: (a) cumulatively learn new skills through autonomous develop-ment ...
  • Mangin, Olivier; Toxiri, Stefano; Lonini, Luca (2011-09-26)
    Microsoft Kinect provides an off-the-shelf sensor that can be used to reliably capture information from body movements in real-time fashion. We implemented an on-line gesture recognition system on top of the kinect's hand ...
  • Barnes, David Preston; Ward, R.; Shaw, A.; Summers, P. (2006)
    Aerobot technology is generating a good deal of interest in planetary exploration circles. Balloon based aerobots have much to offer ESA's Aurora programme, e.g. high resolution mapping, landing site selection, rover ...
  • Hülse, Martin; McBride, Sebastian; Lee, Mark (2009-11)
    Based on the biological phenomenon of inhibition of return, we introduce an architecture developed for an active robotic vision system where continually updated global information is used to modulate the action selection ...
  • Lacey, Nick; Lee, Mark (Springer Berlin Heidelberg, 2003)
    The purpose of this research is to show the relevance of philosophical theories to agent knowledge base (AKB) design, implementation, and behaviour. We will describe how artificial agent designers face important problems ...
  • Law, James; Lee, Mark; Hülse, Martin (2010-11)
    Early infancy is a time of remarkable learning and cognitive growth. Developmental psychologists have observed that very distinct stages in behaviour are related to such growth spurts. This paper presents the findings of ...
  • Law, James; Lee, Mark; Hülse, Martin; Tomassetti, Alessandra (2011-10-31)
    Early infancy is a time of remarkable sensorimotor learning and rapid cognitive growth. Such development offers a rich source of inspiration for models that might allow robotic systems to learn cumulatively and autonomously. ...
  • Law, James; Lee, Mark; Hülse, Martin; Shaw, Patricia (2012-12-22)
    Achieving sentient robots will not only require understanding of neuro-models that generate behaviour from structure, but will also need research into the role of development, that is how behaviour determines structure. ...
  • Lee, Mark; Lacey, Nick (2003-08-01)
    Unlike natural agents, artificial agents are, to varying extent, designed according to sets of principles or assumptions. We argue that the designers philosophical position on truth, belief and knowledge has far reaching ...
  • Hülse, Martin; Hild, Manfred (2010-01)
  • Tyler, Laurence; Barnes, David Preston (2008-09)
    We describe our work on a study into key instrument deployment requirements for the ESA ExoMars rover Instrument Deployment Arm (IDA). Using the Beagle 2 (B2) arm as a baseline design, we address issues of positional and ...
  • Cangelosi, A.; Metta, G.; Sagerer, G.; Nolfi, S.; Nehaniv, C.; Fischer, K.; Tani, J.; Sandini, G.; Fadiga, L.; Wrede, B.; Rohlfing, K.; Tuci, E.; Dautenhahn, K.; Saunders, J.; Zeschel, A. (2010-09-01)
    This position paper proposes that the study of embodied cognitive agents, such as humanoid robots, can advance our understanding of the cognitive development of complex sensorimotor, linguistic, and social learning skills. ...
  • Hülse, Martin Siegfried; McBride, Sebastian Daryl; Law, James Alexander; Lee, Mark Howard (2010-12-31)
    Inspired by child development and brain research, we introduce a computational framework which integrates robotic active vision and reaching. Essential elements of this framework are sensorimotor mappings that link three ...
  • Lee, Mark Howard; Rowland, Jeremy John (World Scientific, 1995-01-11)
    This book deals with a key area of industrial robotics - the automation of small batch assembly. Assembly imparts enormous added value but turns out to be extraordinarily difficult to automate. The work presented here, all ...
  • Lee, Mark (Halsted Press, 1989-09)
    Intelligent Robotics examines techniques that will enable robots to be more intelligent in the future and considers the main problems and potential barriers to progress. It encourages an engineering approach, relating ...
  • Daniele, Caligiore; Das, Gautham; Valerio, Sperati; Varun, Kompella; Vieri, Santucci; Benureau, Fabien; Francesco, Mannella; Mai, Nguyen; Marco, Mirolli; Vincenzo, Fiore; Gianluca, Baldassarre; Robert, Nawrocki (2011-09-26)
    In classical reinforcement learning framework, an external, handcrafted reward typically drives the learning process. Intrinsically motivated systems, on the other hand, can guide their learning process autonomously by ...
  • Timmis, John; Neal, Mark (2000)
    This paper presents a resource limited artificial immune system for data analysis. The work presented here builds upon previous work on artificial immune systems for data analysis. A population control mechanism, inspired ...
  • Tuci, Elio (2009-09-01)
    How does communication originates in a population of originally non-communicating individuals? Providing an answer to this question from a neo-Darwinian epistemological perspective is not a trivial task. The reason is that, ...
  • Lee, Mark; Barnes, David Preston; Hardy, Nigel (1983)
    This paper describes the main aims of a new research project concerned with the implementation of automatic error recovery facilities in industrial robotics. An approach is discussed in which an existing manufacturing work ...

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