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Phutane, Uday

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Phutane, Uday

M.Sc. Uday Phutane

Uday Phutane

Uday Phutane
Uday Phutane
doctoral candidate

Institute of Applied Dynamics

Room: Room 01.016
Immerwahrstrasse 1
91058 Erlangen
Germany
  • Phone number: +49 9131 85-61018
  • Fax number: +49 9131 85-61011
  • Email: uday.phutane@fau.de

curriculum vitae

  • 2011 B.Eng. in Mechanical Engineering, Sardar Patel College of Engineering, University of Mumbai, India
  • 2011 – 2013 Assistant Manager, CAE – Vehicle Dynamics, Mahindra and Mahindra, Chennai, India
  • 2013 – 2015 M.Sc. in Computational Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg
  • 2016 – 2021 doctoral candidate, Institute of Applied Dynamics, Friedrich-Alexander-Universität Erlangen-Nürnberg

publications

theses

2015

  • Phutane U.:
    On the comparison of different muscle model dynamics using variational integrators (Master thesis, 2015)

 

reviewed journal publications

2021

  • Phutane U., Liphardt AM., Bräunig J., Penner J., Klebl M., Vossiek M., Kleyer A., Schett G., Leyendecker S., Tascilar K.:
    Evaluation of Optical and Radar Based Motion Capturing Technologies for Characterizing Hand Movement in Rheumatoid Arthritis — A Pilot Study
    In: Sensors 21 (2021), Article No.: 1208
    ISSN: 1424-8220
    DOI: 10.3390/s21041208

 

conferences and proceedings

2022

  • Coppers B., Heinrich S., Phutane U., Berisha D., Tascilar K., Kleyer A., Simon D., Bräunig J., Penner J., Vossiek M., Schönau J., Bayat S., Schett G., Leyendecker S., Liphardt AM.:
    Feasibility of using optoelectronic measurement of hand movement for characterizing hand function in rheumatoid arthritis
    75th EULAR (European Alliance of Associations for Rheumatology), European Congress of Rheumatology 2022 (Copenhagen, 2022-06-01 - 2022-06-04)
  • Coppers B., Heinrich S., Phutane U., Berisha D., Tascilar K., Kleyer A., Simon D., Bräunig J., Penner J., Vossiek M., Schönau V., Bayat S., Schett G., Leyendecker S., Liphardt AM.:
    Evaluation of marker-based motion capturing to charactherize basic hand movements in rheumatic patients
    27th Congress of the European Society of Biomechanics (Porto, 2022-06-26 - 2022-06-29)
  • Coppers B., Phutane U., Berisha D., Tascilar K., Kleyer A., Simon D., Bräunig J., Penner J., Vossiek M., Schönau V., Heinrich S., Bayat S., Schett G., Leyendecker S., Liphardt AM.:
    Establishment and evaluation of a sensor-based method to assess hand function in patients with rheumatoid arthritis
    conference, World Biomechanics Congress 2022 (Taipei (online), 2022-07-10 - 2022-07-14)
  • Heinrich S., Phutane U., Coppers B., Liphardt AM., Leyendecker S.:
    Towards optimal control grasping simulations with the full hand
    conference, 9th GACM Colloquium on Computational Mechanics - for Young Scientists from Academia and Industry (Essen, 2022-09-21 - 2022-09-23)
  • Heinrich S., Phutane U., Penner J., Coppers B., Liphardt AM., Leyendecker S.:
    Comparison of different approaches for the personalization of a kinematic hand model
    conference, World Biomechanics Congress 2022 (Taipei (Online), 2022-07-10 - 2022-07-14)
    URL: https://www.wcb2022.com

2021

  • Leyendecker S., Penner J., Phutane U.:
    Geometric numerical integration in simulation and optimal control of biomechanical motion
    Invited lecture, GAMM Annual Meeting (Kassel, 2021-03-15 - 2021-03-19)

2020

  • Phutane U., Roller M., Boebel A., Leyendecker S.:
    Optimal Control of Grasping Problem Using Postural Synergies
    6th International Digital Human Modeling Symposium (Skövde, 2020-08-31 - 2020-09-02)
    In: Proceedings of the 6th International Digital Human Modeling Symposium 2020
    DOI: 10.3233/ATDE200026
    URL: http://ebooks.iospress.nl/volume/dhm2020-proceedings-of-the-6th-international-digital-human-modeling-symposium

2019

  • Phutane U., Roller M., Björkenstam S., Leyendecker S.:
    Optimal control simulations of two-finger precision grasps
    ECCOMAS Thematic Conference on Mutlibody Dynamics (Duisburg, 2019-07-15 - 2019-07-18)
    In: Proceedings of the ECCOMAS Thematic Conference on Mutlibody Dynamics 2019
    DOI: 10.1007/978-3-030-23132-3_8
  • Phutane U., Roller M., Leyendecker S.:
    On grasp based objectives in human grasping simulation
    GAMM Annual Meeting (Vienna, 2019-02-18 - 2019-02-22)
    In: Proc. Appl. Math. Mech. (PAMM) 2019
    DOI: 10.1002/pamm.201900226

2018

  • Phutane U., Roller M., Leyendecker S.:
    Optimal control simulations of tip pinch and lateral pinch grasping
    European Consortium for Mathematics in Industry (ECMI) Conference (Budapest, 2018-06-18 - 2018-06-22)
    In: Mathematics in Industry 2018
  • Phutane U., Roller M., Leyendecker S.:
    Optimal control simulations of two finger grasping
    GAMM Annual Meeting (Munich, 2018-03-19 - 2018-03-23)
    In: Proc. Appl. Math. Mech (PAMM) 2018
    DOI: 10.1002/pamm.201800358

2017

  • Phutane U., Roller M., Björkenstam S., Leyendecker S.:
    Investigating human thumb models via their range of motion volumes
    GAMM Annual Meeting (Weimar, 2017-03-06 - 2017-03-10)
    In: Proc. Appl. Math. Mech (PAMM) 2017
    DOI: 10.1002/pamm.201710077
  • Phutane U., Roller M., Björkenstam S., Linn J., Leyendecker S.:
    Kinematic validation of a human thumb model
    ECCOMAS Thematic Conference on Multibody Dynamics (Prague, 2017-06-19 - 2017-06-22)
    In: Proceedings of the ECCOMAS Thematic Conference on Mutlibody Dynamics 2017

 

further publications

 

research

  • Optimal control of biomechanical MBS-Digital Human Models for simulation in the virtual assembly planning

    (Third Party Funds Single)

    Term: 2015-11-01 - 2018-03-31
    Funding source: Industrie
    URL: https://www.emma-cc.com/de/teilprojekte-partner/biomechanik-optimalsteuerung.html
    Abstract

    The goal of this project is to apply techniques of biomechanics and optimal control to generate realistic human-like motions of the DHM from generic working instructions like for example move a box from A to B. Such a model would enable the engineers to take into account physical workloads and reachability issues in virtual assembly planning.

    The digital human is modeled as a biomechanical multibody system with muscles as actuators. The motions of the DHM for specific working instructions are predicted with the help of optimal control, where an objective function accounting for physiological quantities that are relevant for humans is minimized. This new approach enables the user to make quantitative statements about muscle forces and joint loads during assembly, which are important indicators for ergonomic assessment.

    →More information

teaching

 

 

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