Prof. Dr. Sarah Dégallier Rochat

Profil

Prof. Dr. Sarah Dégallier Rochat Dozentin

  • Présence Lundi
    Mardi
    Mercredi
    Vendredi
  • Adresse Berner Fachhochschule
    Technique et informatique
    Abt MNG Allgemeinbildung
    Quellgasse 21
    2501 Biel

Recherche

  • My research focuses on the development of inclusive human-machine interfaces in industrial environments. I am interested in the implications of new technologies on work conditions and skills requirements. I believe that technology should be empowering and militate for a design of technology that is

Parcours professionnel

  • 2010-2012 Post-Doc Researcher Ecole Polytechnique Fédérale de Lausanne (EPFL)
  • 2012-2014 Teacher Gymase (High School) de Burier
  • 2006-2010 Ph.D., Robotics Ecole Polytechnique Fédérale de Lausanne (EPFL)
  • 2000-2005 Master, Mathematics Ecole Polytechnique Fédérale de Lausanne (EPFL)
  • 1998-2000 Demi-Licence, Psychology University of Lausanne (UNIL)
  • 2012-2013 Teaching Diploma in Mathematics (Secondary II) Haute Ecole Pédagogique de Lausanne (HEPL)
  • Specialization in User Interface Design - Coursera - University of Minnesota 2019

Projets

Publications

  • S. Dégallier Rochat, L. Righetti, S. Gay and A. Ijspeert. Towards simple control for complex, autonomous robotic applications: Combining discrete and rhythmic motor primitives, in Autonomous Robots, vol. 31, num. 2, p. 155-181, 201

  • S. Dégallier and A. Ijspeert. Modeling Discrete and Rhythmic Movements through Motor Primitives: A Review, in Biological Cybernetics, vol. 103, num. 4, p. 319-338, 2010.

  • S. Dégallier Rochat, A. J. Ijspeert (Dir.). Discrete and Rhythmic Motor Primitives for the Control of Humanoid Robots. EPFL, Lausanne, 2010

  • N. Endrissat and S. Degallier, From Blue to White? Cobots and the Humanization of Blue-Collar Work, short paper, 36th EGOS Colloquium, 2020

  • N. Beuchat, R. Chavarriaga, S. Degallier and J. d. R. Millán. Offline Decoding of Upper Limb Muscle Synergies from EEG Slow Cortical Potentials. The 35th Annual International Conference of the Engineering in Medicine and Biology Society, Osaka, Japan, 2013.

  • S. Dégallier Rochat, L. Righetti, S. Gay and A. Ijspeert. Towards simple control for complex, autonomous robotic applications: Combining discrete and rhythmic motor primitives, in Autonomous Robots, vol. 31, num. 2, p. 155-181, 2011.

  • S. Gay, S. Dégallier Rochat, A. Ijspeert and J. Santos-Victor. Integration of vision and central pattern generator based locomotion for path planning of a non-holonomic crawling humanoid robot. 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Taipei, Taiwan, 2010.

  • A. Gams, S. Degallier, A. Ijspeert and J. Lenarcic. Dynamical system for learning the waveform and frequency of periodic signals - application to drumming. 15th International Workshop on Robotics in Alpe-Adria-Danube Region (RAAD), 2008.

  • S. Degallier, L. Righetti, L. Natale, F. Nori and G. Metta et al. A modular bio-inspired architecture for movement generation for the infant-like robot iCub. 2nd IEEE RAS / EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob), Scottsdale, AZ, 2008.

  • P.-A. Mudry, S. Degallier and A. Billard. On the influence of symbols and myths in the responsibility ascription problem in roboethics - A roboticist’s perspective. RO-MAN, Münich, 2008.

  • S. Degallier, L. Righetti and A. Ijspeert. Hand placement during quadruped locomotion in a humanoid robot: A dynamical system approach. IEEE-RAS International Conference on Intelligent Robots and Systems (IROS07), San Diego, 2007.

  • S. Degallier, C. Santos, L. Righetti and A. Ijspeert. Movement generation using dynamical systems: a humanoid robot performing a drumming task. IEEE-RAS International Conference on Humanoid Robots (HUMANOIDS06), Genova, 2006.

  • S. Degallier and A. J. Ijspeert. A bio-inspired architechture for movement generation based on discrete and rythmic movement primitives modeled by dynamical systems, International Symposium on Adaptive Motion of Animals and Machines (AMAM), Cleveland, 2008.

  • Gabriel Gruener and Sarah Degallier Rochat (2019), Collaborative Robotics: Potential and challengesfor the Industry, Swiss R&D Conference of the Initiative “INDUSTRIE 2025”

  • Sarah Degallier Rochat and Gabriel Gruener (2018), Collaborative Robotics: An Industrial Perspective,Conference on Commercialization of Emerging Technologies (COMS18), Montreux

  • Gabriel Gruener and Sarah Degallier Rochat (2018), Recent Advances in Collaborative Robotics,Swiss Smart Factory - Networking event, Fraisa S.A., Bellach

  • Sarah Degallier Rochat and Gabriel Gruener (2018), Industrie 4.0 et robotique collaborative: Quelsavantages pour les PME? (Workshop), Association de Recherche Communautaire en moyens deproduction Microtechnique (ARCM), Rollomatic S.A, La Neuveville

  • Sarah Degallier Rochat and Gabriel Gruener (2018), Industrial Applications of Collaborative Robotics, Medtronic Open Innovation Day 2018, Tolochenaz

Affiliations

  • Member of the BFH-TI Commission on "Teaching and Infrastructure"

  • Member of the BFH-TI Commission on "Positioning and marketing"

  • Delegate for Mathematics, Sciences & Humanities in the Automotive Department

  • Member of the SNF Practice-To-Sciences Evaluation Committee

  • Mentor Swiss TecLadies (SATW)

Distinctions

Travaux supervisés

  • Lucas Renfer Cobotic integration for watch manufacturing 2020-2022