Imperial College London
Alternate

ProfessorEtienneBurdet

Faculty of Engineering, Department of Bioengineering

Professor of Human Robotics
 
 
 
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Contact

 

e.burdet Website

 
 
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Location

 

419BSir Michael Uren HubWhite City Campus

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Summary

 

Publications

Publication Type
Year
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385 results found

Gowrishankar G, Haruno M, Kawato M, Burdet Eet al., 2010, Motor memory can inhibit global optimization in multi-solution tasks, NEUROSCIENCE RESEARCH, Vol: 68, Pages: E148-E148, ISSN: 0168-0102

Journal article

Su ELM, Ganesh G, Yeong CF, Burdet Eet al., 2010, Accurate Micromanipulation Induced by Performing in Unstable Dynamics, 19th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), Publisher: IEEE, Pages: 762-766

Conference paper

Salman B, Vahdat S, Lambercy O, Dovat L, Burdet E, Milner Tet al., 2010, Changes in Muscle Activation Patterns Following Robot-assisted Training of Hand Function after Stroke, IEEE/RSJ International Conference on Intelligent Robots and Systems, Publisher: IEEE, Pages: 5145-5150, ISSN: 2153-0858

Conference paper

Zhao G, Teo CL, Hutmacher DW, Burdet Eet al., 2010, Automated Microassembly of Tissue Engineering Scaffold, IEEE International Conference on Robotics and Automation (ICRA), Publisher: IEEE, Pages: 1082-+, ISSN: 1050-4729

Conference paper

Zhou S-H, Oetomo D, Mareels I, Burdet Eet al., 2010, Modelling of Human Motor Control in an Unstable Task through Operational Space Formulation, 11th International Conference on Control, Automation, Robotics and Vision (ICARCV 2010), Publisher: IEEE, Pages: 2030-2035, ISSN: 2474-2953

Conference paper

Masia L, Squeri V, Saha D, Burdet E, Sandini G, Morasso Pet al., 2010, Stabilizing unstable object by means of kinematic redundancy, 32nd Annual International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBC 10), Publisher: IEEE, Pages: 3698-3702, ISSN: 1557-170X

Conference paper

Haller S, Chapuis D, Gassert R, Burdet E, Klarhoefer Met al., 2009, Supplementary motor area and anterior intraparietal area integrate fine-graded timing and force control during precision grip, EUROPEAN JOURNAL OF NEUROSCIENCE, Vol: 30, Pages: 2401-2406, ISSN: 0953-816X

Journal article

Yeong CF, Melendez-Calderon A, Burdet E, 2009, Analysis of pick-and-place, eating and drinking movements for the workspace definition of simple robotic devices, Pages: 46-52

Current robotic devices for rehabilitation after stroke are often large and complex as they are conceived to train arbitrary movements in the 3D space. This paper analyzes the minimal requirements that the workspace of a robotic device should have in order to promote training of principal activities of daily living, considering the shoulder movement's limitations of subacute patients. Pick-and-place, drinking and eating movements of five healthy subjects were analyzed. In all these three tasks, approximately 82% of all trials deviate laterally less than 5% of the target distance and we recommend target distances of less than 40% of the arm length in order to minimize improper shoulder movements. The study can be applied for designing simpler, yet efficient robotic devices for rehabilitation of the upper limb or for constraining exercises on existing ones when dealing with stroke patients, especially for those prone to shoulder complications (e.g. subacute patients). ©2009 IEEE.

Conference paper

Lambercy O, Dovat L, Yun H, Wee SK, Kuah C, Chua K, Gassert R, Milner T, Leong TC, Burdet Eet al., 2009, Rehabilitation of grasping and forearm pronation/supination with the Haptic Knob, Pages: 22-27

This paper investigates robot-assisted rehabilitation after stroke using the Haptic Knob, a 2 degree-of-freedom end-effector based robotic device to train grasping and wrist pronation/supination. Nine chronic stroke subjects trained over a period of 6 weeks, with 3 one-hour sessions of robotassisted therapy per week, consisting of two exercises requiring active participation promoted by therapeutic games. Results of standard clinical assessments demonstrate the positive effects of robot-assisted therapy with the Haptic Knob. Subjects improved by a mean of 4.3 points in the Fugl-Meyer assessment scale, together with a decrease in hand impairments such as abnormal muscle tone frequently observed in stroke subjects. Significant improvements were also observed in motor function of the upper arm as a result of the robot-assisted therapy, suggesting homogeneous improvement of upper limb function as a result of distal training. ©2009 IEEE.

Conference paper

Zeng Q, Burdet E, Rebsamen B, Teo CLet al., 2009, Collaborative Path Planning for a Robotic Wheelchair, Disability and Rehabilitation: Assistive Technology, Vol: (in press)

Journal article

Zeng Q, Burdet E, Teo CL, 2009, Evaluation of a Collaborative Wheelchair System in Cerebral Palsy and Traumatic Brain Injury Users, NEUROREHABILITATION AND NEURAL REPAIR, Vol: 23, Pages: 494-504, ISSN: 1545-9683

Journal article

Safwat B, Su ELM, Gassert R, Teo CL, Burdet Eet al., 2009, The Role of Posture, Magnification, and Grip Force on Microscopic Accuracy, ANNALS OF BIOMEDICAL ENGINEERING, Vol: 37, Pages: 997-1006, ISSN: 0090-6964

Journal article

O'Sullivan I, Burdet E, Diedrichsen J, 2009, Dissociating Variability and Effort as Determinants of Coordination, PLOS COMPUTATIONAL BIOLOGY, Vol: 5

Journal article

Lambercy O, Dovat L, Yun H, Wee SK, Kuah C, Chua K, Gassert R, Milner T, Burdet E, Teo CLet al., 2009, Exercises for rehabilitation and assessment of hand motor function with the Haptic Knob

This paper investigates robot-assisted rehabilitation and assessment of hand function after stroke using the Haptic Knob, a 2 degrees-of-freedom end-effector based robotic device to train grasping and wrist pronation/supination. Nine chronic stroke subjects trained over a period of 6 weeks, with 3 one-hour sessions of robot-assisted therapy per week, consisting in two exercises requiring active participation promoted by therapeutic games. Behavioral data collected by the Haptic Knob were analyzed to evaluate motion control, smoothness and precision over the therapy. Subjects progressively improved their performances in the proposed functional exercises, suggesting improvement in hand motor function. This was con rmed by results of standard clinical assessment as subjects improved a mean of 4.3 points in the Fugl-Meyer assessment scale, accompanied by a decrease in spasticity. These results illustrate the positive e ect of therapy with the Haptic Knob and the possibility to use it as an assessment tool to evaluate and monitor hand motor function during rehabilitation therapy. © ACM 2009.

Conference paper

Dovat L, Lambercy O, Gassert R, Milner T, Leong TC, Burdet Eet al., 2009, A system for robot-assisted neuro-rehabilitation of hand function, Pages: 1587-1588, ISSN: 1050-4729

Conference paper

Melendez-Calderon A, Masia L, Casadio M, Burdet Eet al., 2009, Force field compensation can be learned without proprioceptive error, Pages: 381-383, ISSN: 1680-0737

Robotic devices able to train both reaching and manipulation, involving multiple degrees-of-freedom (DOF), are often large and complex. Could mechanically simpler devices be used to train people, by using only visual feedback and constraining the limb in one or more of the degrees of freedom during task performance? This study examines how this motion guidance influences motor learning in healthy subjects, when virtual kinematic error is provided as visual feedback. The results demonstrate that i) virtual learning is possible, though the learning pattern are slightly different than in learning with full proprioception error, and ii) the inverse model learned is similar in the two conditions. © 2009 Springer-Verlag.

Conference paper

Su ELM, Win TL, Ang WT, Lim TC, Teo CL, Burdet Eet al., 2009, Micromanipulation Accuracy in Pointing and Tracing Investigated with a Contact-Free Measurement System, 2009 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-20, Pages: 3960-+, ISSN: 1557-170X

Journal article

Yeong CF, Melendez-Calderon A, Gassert R, Burdet Eet al., 2009, ReachMAN: a personal robot to train <i>reach</i>ing and <i>man</i>ipulation, IEEE RSJ International Conference on Intelligent Robots and Systems, Publisher: IEEE, Pages: 4080-+

Conference paper

Ananda ES, Latt WT, Shee CY, Su ELM, Burdet E, Lim TC, Teo CL, Ang WTet al., 2009, Influence of Visual Feedback and Speed on Micromanipulation Accuracy, Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society, Publisher: IEEE, Pages: 1188-+, ISSN: 1557-170X

Conference paper

Dovat L, Lambercy O, Gassert R, Milner T, Leong TC, Burdet Eet al., 2009, A System for Robot-Assisted Neuro-Rehabilitation of Hand Function, IEEE International Conference on Robotics and Automation, Publisher: IEEE, Pages: 635-+, ISSN: 1050-4729

Conference paper

Lambercy O, Dovat L, Yun H, Wee SK, Kuah C, Chua K, Gassert R, Milner T, Leong TC, Burdet Eet al., 2009, Rehabilitation of Grasping and Forearm Pronation/Supination with the <i>Haptic Knob</i>, 11th IEEE International Conference on Rehabilitation Robotics, Publisher: IEEE, Pages: 26-+, ISSN: 1945-7898

Conference paper

Yeong CF, Melendez-Calderon A, Burdet E, 2009, Analysis of Pick-and-place, Eating and Drinking Movements for the Workspace Definition of Simple Robotic Devices, 11th IEEE International Conference on Rehabilitation Robotics, Publisher: IEEE, Pages: 54-60, ISSN: 1945-7898

Conference paper

Rebsamen B, Burdet E, Zeng Q, Zhang H, Ang M, Teo CL, Guan C, Laugier Cet al., 2008, Hybrid P300 and mu-beta brain computer interface to operate a brain controlled wheelchair, Pages: 51-55

This paper describes a control strategy to drive a wheelchair in a building environment by thought. The user selects the destination in a list of predefined locations of interest using a slow but safe P300 EEG interface. The robotic wheelchair navigates autonomously toward destination following virtual guiding paths. Along the way the user has the possibility to stop the movement using a fast μβ-rhythm BCI. Experiments demonstrate how healthy subjects can navigate safely in an home-like environment using this novel hybrid BCI.

Conference paper

Dovat L, Lambercy O, Salman B, Johnson V, Milner T, Gassert R, Burdet E, Leong TCet al., 2008, Post-stroke training of finger coordination with the HandCARE (Cable-Actuated REhabilitation) system: A case study, Pages: 130-134

Finger extension and coordination are two of the impaired hand functions stroke survivors most desire to recover. We have developed a robotic interface, the HandCARE, to train these functions. The system consists of a Cable-Actuated REhabilitation (CARE) system in which each finger is attached to an instrumented cable loop allowing force control and a predominantly linear displacement. The interface can assist the subject in opening and closing movements and can be adapted to accommodate various hand sizes and finger shapes. Exercises have been implemented using a motivating approach promoting recovery of specific hand functions. To evaluate the training of finger coordination, a poststroke subject practiced for 20 minutes twice a week during six weeks with the HandCARE. The results show significant improvements in finger coordination as well as in movement pattern, i.e. less submovements during hand opening.

Conference paper

Dovat L, Lambercy O, Gassert R, Maeder T, Milner T, Leong TC, Burdet Eet al., 2008, <i>HandCARE</i>: A Cable-Actuated Rehabilitation System to Train Hand Function After Stroke, IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, Vol: 16, Pages: 582-591, ISSN: 1534-4320

Journal article

Franklin DW, Burdet E, Tee KP, Osu R, Chew C-M, Milner TE, Kawato Met al., 2008, CNS Learns Stable, Accurate, and Efficient Movements Using a Simple Algorithm, JOURNAL OF NEUROSCIENCE, Vol: 28, Pages: 11165-11173, ISSN: 0270-6474

Journal article

Ganesh G, Burdet E, Haruno M, Kawato Met al., 2008, Sparse linear regression for reconstructing muscle activity from human cortical fMRI, NEUROIMAGE, Vol: 42, Pages: 1463-1472, ISSN: 1053-8119

Journal article

Zhang H, Burdet E, Poo AN, Hutmacher DWet al., 2008, Microassembly fabrication of tissue engineering scaffolds with customized design, IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, Vol: 5, Pages: 446-456, ISSN: 1545-5955

Journal article

Gassert R, Chapuis D, Bleuler H, Burdet Eet al., 2008, Sensors for applications in magnetic resonance environments, IEEE-ASME TRANSACTIONS ON MECHATRONICS, Vol: 13, Pages: 335-344, ISSN: 1083-4435

Journal article

Gassert R, Burdet E, Chinzei H, 2008, Opportunities and Challenges of MRI-Compatible Robotics, IEEE Engineering in Medicine and Biology, Vol: (in press)

Journal article

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