Uday Phutane
Uday Phutane
- 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
theses
2015
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 On the comparison of different muscle model dynamics using variational integrators (Master thesis, 2015)
reviewed journal publications
2025
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 Sensor-assessed grasping time as a biomarker of functional impairment in rheumatoid arthritis
 In: Scientific Reports 15 (2025), Article No.: 6018
 ISSN: 2045-2322
 DOI: 10.1038/s41598-025-90295-7
2021
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 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
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 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)
 DOI: 10.1136/annrheumdis-2022-eular.1741
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 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)
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 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)
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 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)
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 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
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 Geometric numerical integration in simulation and optimal control of biomechanical motion
 Invited lecture, GAMM Annual Meeting (Kassel, 2021-03-15 - 2021-03-19)
2020
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 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
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 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
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 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
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 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
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 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
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 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
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 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
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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.htmlThe 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.

