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(Stand Januar 2022)
Forschungsinteressen
Felix Gaisbauer war seit November 2016 als externer Promovend bei der Daimler AG in Ulm tätig. In diesem Rahmen beschäftigte er sich schwerpunktmäßig mit Themen zur digitalen Menschsimulation im Produktionsumfeld. Sein Fokus lag dabei insbesondere auf:
- Character Animation/ Motion Synthesis
- Simulation manueller Montageprozesse
- Modularisierung von digitalen Menschsimulationsverfahren
- Künstliche Intelligenz & agentenbasierte Simulation
Er schloss seine Promotion im Januar 2022 ab.
Projekte
MOSIM - End-to-end Digital Integration based on Modular Simulation of Natural Human Motions (itea3.org/project/mosim.html)
Wissenschaftliche Aktivitäten
Reviewer für Elsevier CIRP CMS 2018
Reviewer für Entertainment Computing Journal 2019
Publikationen
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.
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),
Okt.
2019.
ACM.
| DOI: | 10.1145/3359566.3360052 |
| Datei: |  https://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.
| Datei: | https://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Rukzio/2019/2019_otto_EAWS.pdf |
18.
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),
06
2019.
| DOI: | https://doi.org/10.1016/j.procir.2019.03.294 |
17.
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 |
| Datei: | https://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Rukzio/2019/Gaisbauer_GRAPP_2019_18_CR.pdf |
16.
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 |
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 |
| Datei: | https://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 |
| Datei: | https://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 |
| Datei: | https://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.
| Datei: | https://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),
Mai
2018.
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),
Mai
2018.
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),
Mai
2018.
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 |
| Datei: | /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 |
| Datei: | https://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 |
| Datei: | /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 |
| Datei: | https://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.
| Datei: | https://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 |
| Datei: | https://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 |
| Datei: | https://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
Funktion
Ehemaliger externer Promovend