Pdf of comprehensive list (updated once a year)

A comprehensive list can also be obtained from Google scholar or from Scopus, by searching the publications of author Burdet, Etienne.

Search or filter publications

Filter by type:

Filter by publication type

Filter by year:

to

Results

  • Showing results for:
  • Reset all filters

Search results

  • CONFERENCE PAPER
    Dovat L, Lambercy O, Johnson V, Salman B, Wong S, Gassert R, Burdet E, Leong TC, Milner Tet al., 2007,

    A cable driven robotic system to train finger function after stroke

    , 10th IEEE International Conference on Rehabilitation Robotics, Publisher: IEEE, Pages: 222-+, ISSN: 1945-7898
  • BOOK CHAPTER
    Etienne Burdet, Roger Gassert, Ganesh Gowrishankar, Dominique Chapuis, Hannes Bleuleret al., 2007,

    fMRI Compatible Haptic Interfaces to Investigate Human Motor Control

    , Springer Tracts in Advanced Robotics, Editors: Ang, Kathib, Publisher: Springer, Pages: 25-34
  • CONFERENCE PAPER
    Fei Wang, Timothy Poston, Chee Leong Teo, Kian Ming Lim, Etienne Burdetet al., 2007,

    Multisensory learning cues using analytical collision detection between a needle and a tube.

    , IEEE Conference on Virtual Reality (IEEEVR), Pages: 339-346
  • JOURNAL ARTICLE
    Franklin DW, Liaw G, Milner TE, Osu R, Burdet E, Kawato Met al., 2007,

    Endpoint stiffness of the arm is directionally tuned to instability in the environment

    , JOURNAL OF NEUROSCIENCE, Vol: 27, Pages: 7705-7716, ISSN: 0270-6474
  • JOURNAL ARTICLE
    Franklin DW, So U, Burdet E, Kawato Met al., 2007,

    Visual Feedback is not necessary for the Learning of Novel Dynamics

    , PLOS One, Vol: 2, ISSN: 1932-6203

    Background. When learning to perform a novel sensorimotor task, humans integrate multi-modal sensory feedback such asvision and proprioception in order to make the appropriate adjustments to successfully complete the task. Sensory feedback isused both during movement to control and correct the current movement, and to update the feed-forward motor commandfor subsequent movements. Previous work has shown that adaptation to stable dynamics is possible without visual feedback.However, it is not clear to what degree visual information during movement contributes to this learning or whether it isessential to the development of an internal model or impedance controller. Methodology/Principle Findings. We examinedthe effects of the removal of visual feedback during movement on the learning of both stable and unstable dynamics incomparison with the case when both vision and proprioception are available. Subjects were able to learn to make smoothmovements in both types of novel dynamics after learning with or without visual feedback. By examining the endpointstiffness and force after learning it could be shown that subjects adapted to both types of dynamics in the same way whetherthey were provided with visual feedback of their trajectory or not. The main effects of visual feedback were to increase thesuccess rate of movements, slightly straighten the path, and significantly reduce variability near the end of the movement.Conclusions/Significance. These findings suggest that visual feedback of the hand during movement is not necessary for theadaptation to either stable or unstable novel dynamics. Instead vision appears to be used to fine-tune corrections of handtrajectory at the end of reaching movements.

  • JOURNAL ARTICLE
    Franklin DW, So U, Burdet E, Kawato Met al., 2007,

    Visual Feedback Is Not Necessary for the Learning of Novel Dynamics

    , PLOS ONE, Vol: 2, ISSN: 1932-6203
  • JOURNAL ARTICLE
    H Zhang, E Burdet, AN Poo, DW Hutmacheret al., 2007,

    Robotic Microassembly of Tissue Engineering Scaffolds

    , IEEE Transactions on Automation Science and Engineering, Vol: in press
  • CONFERENCE PAPER
    Lambercy O, Dovat L, Gassert R, Burdet E, Teo CL, Milner Tet al., 2007,

    A haptic knob for rehabilitation of hand function

    , 10th IEEE International Conference on Rehabilitation Robotics, Pages: 356-366

    This paper describes a novel two-degree-of-freedom robotic interface to train opening/closing of the hand and knob manipulation. The mechanical design, based on two parallelogram structures holding an exchangeable button, offers the possibility to adapt the interface to various hand sizes and finger orientations, as well as to right-handed or left-handed subjects. The interaction with the subject is measured by means of position encoders and four force sensors located close to the output measuring grasping and insertion forces. Various knobs can be mounted on the interface, including a cone mechanism to train a complete opening movement from a strongly contracted and closed hand to a large opened position. We describe the design based on measured biomechanics, the redundant safety mechanisms as well as the actuation and control architecture. Preliminary experiments show the performance of this interface and some of the possibilities it offers for the rehabilitation of hand function.

  • JOURNAL ARTICLE
    Lambercy O, Dovat L, Gassert R, Burdet E, Teo CL, Milner Tet al., 2007,

    A haptic knob for rehabilitation of hand function

    , IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, Vol: 15, Pages: 356-366, ISSN: 1534-4320
  • CONFERENCE PAPER
    Longiang Zhou, Chee Leong Teo, Etienne Burdet, 2007,

    An elastic path controller for a collaborative wheelchair assistant

    , International Convention for Rehabilitation Engineering and Assistive Technology (i-Create)
  • CONFERENCE PAPER
    Mitsuo Kawato, David W Franklin, Etienne Burdet, Keng Peng Tee, Rieko Osu, Theodore E Milneret al., 2007,

    Computational learning mechanisms for impedance control and internal model acquisition

    , Neural Information Processing (NIPS) International Symposium
  • CONFERENCE PAPER
    Qiang Zeng, Etienne Burdet, Brice Rebsamen, Chee Leong Teoet al., 2007,

    Experiments on collaborative learning with a robotic wheelchair

    , International Convention for Rehabilitation Engineering and Assistive Technology (i-Create)
  • CONFERENCE PAPER
    Rebsamen B, Burdet E, Guan C, Teo CL, Zeng Q, Ang M, Laugier Cet al., 2007,

    Controlling a wheelchair using a BCI with low information transfer rate

    , 10th IEEE International Conference on Rehabilitation Robotics, Publisher: IEEE, Pages: 1003-+, ISSN: 1945-7898
  • JOURNAL ARTICLE
    Rebsamen B, Burdet E, Guan C, Zhang H, Teo CL, Zeng Q, Laugier C, Ang MHet al., 2007,

    Controlling a wheelchair indoors using thought

    , IEEE INTELLIGENT SYSTEMS, Vol: 22, Pages: 18-24, ISSN: 1541-1672
  • CONFERENCE PAPER
    Shacklock AP, Pritchard MC, Luo H, Burdet E, Lin Wet al., 2007,

    Intuitive command of manipulators in micro-scale tasks

    , IEEE International Conference on Robotics and Automation, Publisher: IEEE, Pages: 846-851, ISSN: 1050-4729
  • CONFERENCE PAPER
    Theodore E Milner, Olivier Lambercy, Ludovic Dovat, Roger Gassert, Chee Leong Teo, Etienne Burdetet al., 2007,

    Robotic devices to restore hand function after stroke

    , Conference of the Vancouver Society for Cognitive Sciences
  • CONFERENCE PAPER
    Zeng Q, Burdet E, Rebsamen B, Teo CLet al., 2007,

    Evaluation of the collaborative wheelchair assistant system

    , 10th IEEE International Conference on Rehabilitation Robotics, Publisher: IEEE, Pages: 601-+, ISSN: 1945-7898
  • CONFERENCE PAPER
    Zhou L, Teo CL, Burdet E, 2007,

    Development of a novel Elastic Path Controller

    , IEEE International Conference on Systems, Man and Cybernetics, Publisher: IEEE, Pages: 1089-+, ISSN: 1062-922X
  • JOURNAL ARTICLE
    Burdet E, Tee KP, Mareels I, Milner TE, Chew CM, Franklin DW, Osu R, Kawato Met al., 2006,

    Stability and motor adaptation in human arm movements

    , BIOLOGICAL CYBERNETICS, Vol: 94, Pages: 20-32, ISSN: 0340-1200
  • CONFERENCE PAPER
    Chapuis D, Gassert R, Burdet E, Bleuler Het al., 2006,

    Hybrid ultrasonic motor and electrorheological clutch system for MR-compatible haptic rendering

    , IEEE/RSJ International Conference on Intelligent Robots and Systems, Publisher: IEEE, Pages: 1553-1557

This data is extracted from the Web of Science and reproduced under a licence from Thomson Reuters. You may not copy or re-distribute this data in whole or in part without the written consent of the Science business of Thomson Reuters.

Request URL: http://wlsprd.imperial.ac.uk:80/respub/WEB-INF/jsp/search-t4-html.jsp Request URI: /respub/WEB-INF/jsp/search-t4-html.jsp Query String: id=481&limit=20&page=4&respub-action=search.html Current Millis: 1508353548266 Current Time: Wed Oct 18 20:05:48 BST 2017