Browsing Intelligent Robotics Group by Title

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  • 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 ...
  • Pullan, Derek; Tyler, Laurence; Pugh, Stephen; Barnes, David Preston (2010-08-29)
    A major mission driver for unmanned space exploration is to maximise science data return whilst minimising ground-based human intervention and hence associated operations costs. Future robotic exploration such as the ESA ...
  • Lee, Mark; Hardy, Nigel; Barnes, David Preston (1983)
  • Barnes, David Preston; Hardy, Nigel (World Scientific, 1995)
  • Pinciroli, Carlo; Birattari, Mauro; Tuci, Elio; Dorigo, Marco; Del Rey Zapatero, Marco; Vinko, Thamas; Izzo, Dario (Springer Berlin Heidelberg, 2008-09-01)
    We present a distributed control strategy that lets a swarm of satellites autonomously form a lattice in orbit around a planet. The system, based on the artificial potential field approach, proposes a novel way to split ...
  • Meng, Qinggang; Lee, Mark (2004)
    The worldwide population of elderly people is rapidly growing and is set to become a major problem in the coming decades. This phenomenon has the potential to create a huge market for domestic service robots that can assist ...
  • Meng, Qinggang; Lee, Mark; Holstein, Horst (IEEE, 2002-12)
    In this paper, we describe the incorporation of learning and reuse of experience into behavior-based service robot systems. Experience is context based, and the learned experience is associated with its relevant behaviors. ...
  • Walker, Joanne; Wilson, Myra (2002-10)
  • Barnes, David Preston; Tyler, Laurence; McMahon, Paul (2011-05-05)
    The Beagle 2 robotic arm was studied to evaluate its suitability as a basis for the design of a lightweight instrument deployment arm for a future planetary rover mission. Newly developed circuitry allowed the arm to be ...
  • Hülse, Martin; Lee, Mark (2010-04)
    Biologically inspired robotics is a well known approach for the design of autonomous intelligent robot systems. Very often it is assumed that biologically inspired models successfully implemented on robots offer new scientific ...
  • Neal, Mark; Sauze, Colin (2012-08-06)
    This paper describes work on a biologically inspired approach to long term power management in sailing robots. Sailing robots offer the promise of a flexible and low cost ocean observation platform which can either hold ...

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