Dr. Felix Gaisbauer

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(January 2021)

Research interests

Felix Gaisbauer has been working as an external doctoral student at Daimler AG in Ulm since November 2016. In this context, he focussed on topics relating to digital human simulation in the production environment. His focus was in particular on

  • Character Animation/ Motion Synthesis
  • Simulation of manual assembly processes
  • Modularisation of digital human simulation processes
  • Artificial intelligence & agent-based simulation

He completed his award of a doctoral degree in January 2022.

Publications

2020

21.
F. Gaisbauer, E. Lampen, P. Agethen and E. Rukzio, "Combining heterogeneous digital human simulations: presenting a novel co-simulation approach for incorporating different character animation technologies" in The Visual Computer, Springer, Jan. 2020.
DOI:https://doi.org/10.1007/s00371-020-01792-x
File:pdfhttps://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Rukzio/2020/2020_gaisbauer_the_visual_computer_Co_Simulation_preprint.pdf

2019

20.
F. Gaisbauer, J. Lehwald, J. Sprenger and E. Rukzio, "Natural Posture Blending Using Deep Neural Networks", In Proc. of MIG 2019 (ACM Siggraph Conference on Motion, Interaction and Games), Oct. 2019. ACM.
DOI:10.1145/3359566.3360052
File:pdfhttps://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Rukzio/2019/a2-gaisbauer.pdf
19.
M. Otto, E. Lampen, F. Auris, F. Gaisbauer and E. Rukzio, "Applicability Evaluation of Kinect for EAWS Ergonomic Assessments", In Proc. of CIRP CMS 2019 (52th CIRP Conference on Manufacturing Systems), Jun. 2019. Elsevier, https://doi.org/10.1016/j.procir.2019.03.194.
File:pdfhttps://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Rukzio/2019/2019_otto_EAWS.pdf
18.
E. Lampen, J. Teuber, F. Gaisbauer, T. Bär, T. Pfeiffer and S. Wachsmuth, "Combining Simulation and Augmented Reality Methods for Enhanced Worker Assistance in Manual Assembly", 52nd CIRP Conference on Manufacturing Systems (CMS 2019), Jun. 2019.
DOI:https://doi.org/10.1016/j.procir.2019.03.160
17.
F. Auris, F. Gaisbauer and T. Bär, "Exploring process variance in assembly planning with non-fixed simulation parameters", 52nd CIRP Conference on Manufacturing Systems (CMS 2019), Jun. 2019.
DOI:https://doi.org/10.1016/j.procir.2019.03.294
16.
F. Gaisbauer, J. Lehwald, P. Agethen, J. Sues and E. Rukzio, "Proposing a Co-simulation Model for Coupling Heterogeneous Character Animation Systems", In Proc. of GRAPP 2019 (14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications), Feb. 2019.
DOI:10.5220/0007356400650076
File:pdfhttps://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Rukzio/2019/Gaisbauer_GRAPP_2019_18_CR.pdf

2018

15.
P. Agethen, F. Gaisbauer and E. Rukzio, "A Probabilistic Steering Parameter Model for Deterministic Motion Planning Algorithms", Computer Graphics Forum, Nov. 2018. Wiley.
DOI:https://doi.org/10.1111/cgf.13591
File:pdfhttps://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Rukzio/2018/agethen.pdf
14.
P. Agethen, M. Link, F. Gaisbauer, T. Pfeiffer and E. Rukzio, "Counterbalancing Virtual Reality Induced Temporal Disparities of Human Locomotion for the Manufacturing Industry", In Proc. of MIG 2018 (ACM Siggraph Conference on Motion, Interaction and Games), Nov. 2018.
DOI:10.1145/3274247.3274517
File:pdfhttps://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Rukzio/2018/MIG18_paper_31.pdf
13.
P. Agethen, F. Gaisbauer, M. Manns, M. Link and E. Rukzio, "Towards Realistic Walk Path Simulation of Single Subjects: Presenting a Probabilistic Motion Planning Algorithm", In Proc. of MIG 2018 (ACM Siggraph Conference on Motion, Interaction and Games), Nov. 2018. ACM.
DOI:10.1145/3274247.3274504
File:pdfhttps://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Rukzio/2018/MIG18_paper_14.pdf
12.
P. Agethen, V. Subramanian Sekar, F. Gaisbauer, T. Pfeiffer, M. Otto and E. Rukzio, "Behavior Analysis of Human Locomotion in Real World and Virtual Reality for Manufacturing Industry", ACM Transactions on Applied Perception (TAP), vol. 15, Jul. 2018.
File:pdfhttps://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Rukzio/2018/Behavior_Analysis_of_Human_Locomotion_in_the_Real_World_and_Virtual.pdf
11.
F. Gaisbauer, J. Lehwald, P. Agethen and E. Rukzio, "A Motion Reuse Framework for Accelerated Simulation of Manual Assembly Processes ", Proc. of 51th CIRP Conference on Manufacturing Systems (CMS), May 2018.
DOI:10.1016/j.procir.2018.03.282
File:pdfhttps://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Rukzio/2018/A_Motion_Reuse_Framework_for_Accelerated_Simulation_of_Manual_Assembly_Processes.pdf
10.
P. Agethen, F. Gaisbauer, M. Otto and E. Rukzio, "Interactive Simulation for Walk Path Planning within the Automotive Industry", Proc. of 51th CIRP Conference on Manufacturing Systems (CMS), May 2018.
DOI:10.1016/j.procir.2018.03.223
File:pdfhttps://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Rukzio/2018/Interactive_Simulation_for_Walk_Path_Planning_within_the_Automotive.pdf
9.
F. Gaisbauer, P. Agethen, M. Otto, T. Bär, J. Sues and E. Rukzio, "Presenting a Modular Framework for a Holistic Simulation of Manual Assembly Tasks ", Proc. of 51th CIRP Conference on Manufacturing Systems (CMS), May 2018.
DOI:10.1016/j.procir.2018.03.281
File:pdfhttps://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Rukzio/2018/Presenting_a_Modular_Framework_for_a_Holistic_Simulation_of_Manual.pdf
8.
P. Agethen, T. Neher, F. Gaisbauer, M. Manns and E. Rukzio, "A Probabilistic Motion Planning Algorithm for Realistic Walk Path Simulation", Apr. 2018.
DOI:10.2312/egp.20181009
File:/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Rukzio/2018/agethen2020eg.pdf
7.
F. Gaisbauer, P. Agethen, T. Bär and E. Rukzio, "Introducing a Modular Concept for Exchanging Character Animation Approaches", Apr. 2018.
DOI:10.2312/egp.20181011
File:pdfhttps://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Rukzio/2018/007-008.pdf
6.
F. Gaisbauer, P. Froehlich, J. Lehwald, P. Agethen and E. Rukzio, "Presenting a Deep Motion Blending Approach for Simulating Natural Reach Motions", Apr. 2018.
DOI:10.2312/egp.20181010
File:/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Rukzio/2018/gaisbauer2020eg.pdf

2017

5.
F. Gaisbauer, P. Agethen, R. Lunde and E. Rukzio, "Iterative Path Adaption (IPA): Predictive Trajectory-Estimation Using Static Pathfinding Algorithms", Proc. of 11th CIRP Conference on Intelligent Computation in Manufacturing Engineering (ICME), Jul. 2017.
DOI:10.1016/j.procir.2017.12.170
File:pdfhttps://www.sciencedirect.com/science/article/pii/S2212827117311125/pdf?md5=4b491e089592ad6b24e8e5d6a1df4a8d&pid=1-s2.0-S2212827117311125-main.pdf
4.
P. Agethen, F. Gaisbauer, P. Froehlich, M. Manns and E. Rukzio, "Towards Realistic Walk Path Simulation in Automotive Assembly Lines: A Probabilistic Approach", Proc. of 11th CIRP Conference on Intelligent Computation in Manufacturing Engineering (ICME), Jul. 2017.
File:pdfhttps://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Rukzio/2018/mgi18.pdf
3.
S. Mengel, M. Sievers, P. Agethen and F. Gaisbauer, "Untersuchung zeitwirtschaftlicher Effekte aufgrund hoher Tätigkeitsvarianz in der manuellen Serienfließmontage", 63. Frühjahrskongress der Gesellschaft für Arbeitswissenschaft, Feb. 2017.
2.
M. Otto, P. Agethen, F. Geiselhart, M. Rietzler, F. Gaisbauer and E. Rukzio, "Presenting a Holistic Framework for Scalable, Marker-less Motion Capturing: Skeletal Tracking Performance Analysis, Sensor Fusion Algorithms and Usage in Automotive Industry", Journal of Virtual Reality and Broadcasting, vol. 13, no. 3, 2017. http://www.jvrb.org/past-issues/13.2016/4481.
DOI:10.20385/1860-2037/13.2016.3
File:pdfhttps://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Rukzio/2016/1320163.pdf

2016

1.
P. Agethen, M. Otto, F. Gaisbauer and E. Rukzio, "Presenting a Novel Motion Capture-based Approach for Walk Path Segmentation and Drift Analysis in Manual Assembly", In Proc. of 6th Conference on Changeable, Agile, Reconfigurable and Virtual Production (CARV), no. 52, Sep. 2016.
DOI:10.1016/j.procir.2016.07.048
File:pdfhttps://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Rukzio/2016/Motion_Capture-based_Walk_Path_Segmentation_and_Drift_Analysis.pdf

Felix Gaisbauer

Function

Former External PhD Candidate