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CableCon 2017

CableCon 2017

August 2-4, 2017, Quebec City, Canada

Epilogue


Dear visitor,

We would like to thank all the CableCon2017 participants for their research results, thoughts, and all the pleasant conversations we shared during the event! We would like to extend special thanks to our two keynote speakers, Professors Sunil Agrawal and Meyer Nahon; to Romain Del Giudice, our photographer; and to André Gallant, who diligently carried out the bulk of the work behind the event preparation. The photographs taken by Romain are available here, for those who would like to be reminded of their stay in Quebec City, or, more pragmatically, to provide proof of attendance. The program can be downloaded here. Truly yours,


Clément Gosselin

Philippe Cardou

Co-organisers, CableCon2017


Organisation

Objective

The first two conferences of this series, held respectively in 2012 and 2014 in Germany, successfully provided a discussion forum for researchers from around the world working on cable robots. The third conference aims to present new results, to favour the exchange of ideas, and to establish contacts amongst all the international teams.



Conference Topics

Theory and application of cable-driven parallel robots including:

  • Classification

  • Kinematics, Workspace and Singularity Analysis

  • Statics and Dynamics

  • Cable Modeling

  • Control and Calibration

  • Design Methodology

  • Hardware Development

  • Experimental Evaluation

  • Prototypes, Application Reports and new Application concepts



Scientific Committee

S. Agrawal, Columbia University

M. Arsenault, Laurentian University

T. Bruckmann, University of Duisburg-Essen

S. Caro, CNRS, LS2N, IRT Jules Verne

M. Gouttefarde, LIRMM

J.-P. Merlet,  INRIA

L. Notash, Queen's University

A. Pott, Fraunhofer IPA

D. Schramm, University Duisburg-Essen

A. Verl, University of Stuttgart



General Chair

Clément Gosselin, Université Laval

Philippe Cardou, Université Laval



Patronage

International Federation for the Promotion of Mechanism and Machine Science (IFToMM)



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