Forschungsinteressen
Felix Gaisbauer ist seit November 2016 als externer Promovend bei der Daimler AG in Ulm tätig. In diesem Rahmen beschäftigt er sich schwerpunktmäßig mit Themen zur digitalen Menschsimulation im Produktionsumfeld. Sein Fokus liegt dabei insbesondere auf:
- Character Animation/ Motion Synthesis
- Simulation manueller Montageprozesse
- Modularisierung von digitalen Menschsimulationsverfahren
- Künstliche Intelligenz & agentenbasierte Simulation
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
2019 | |
17. 
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Applicability Evaluation of Kinect for EAWS Ergonomic Assessments
Proc. of 52th CIRP Conference on Manufacturing Systems (CMS),
2019
|
16. 
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Proposing a Co-simulation Model for Coupling Heterogeneous Character Animation Systems
14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (GRAPP),
2019
|
2018 | |
|
15.
|
A Probabilistic Steering Parameter Model for Deterministic Motion Planning Algorithms
Computer Graphics Forum,
November
2018
|
|
14.
|
Towards Realistic Walk Path Simulation of Single Subjects: Presenting a Probabilistic Motion Planning Algorithm
Proceedings of the ACM Siggraph Conference on Motion, Interaction and Games 2018,
November
2018
|
|
13.
|
Counterbalancing Virtual Reality Induced Temporal Disparities of Human Locomotion for the Manufacturing Industry
Proceedings of the ACM Siggraph Conference on Motion, Interaction and Games 2018,
November
2018
|
|
12.
|
Behavior Analysis of Human Locomotion in Real World and Virtual Reality for Manufacturing Industry
ACM Transactions on Applied Perception (TAP),
15
Juli
2018
|
|
11.
|
A Motion Reuse Framework for Accelerated Simulation of Manual Assembly Processes
Proc. of 51th CIRP Conference on Manufacturing Systems (CMS),
Mai
2018
|
|
10.
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Presenting a Modular Framework for a Holistic Simulation of Manual Assembly Tasks
Proc. of 51th CIRP Conference on Manufacturing Systems (CMS),
Mai
2018
|
|
9.
|
Interactive Simulation for Walk Path Planning within the Automotive Industry
Proc. of 51th CIRP Conference on Manufacturing Systems (CMS),
Mai
2018
|
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8.
|
Presenting a Deep Motion Blending Approach for Simulating Natural Reach Motions
Proc. of Eurographics (Poster)
April
2018
DOI: 10.2312/egp.20181010
|
|
7.
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Introducing a Modular Concept for Exchanging Character Animation Approaches
Proc. of Eurographics (Poster)
April
2018
DOI: 10.2312/egp.20181011
|
|
6.
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A Probabilistic Motion Planning Algorithm for Realistic Walk Path Simulation
Proc. of Eurographics (Poster)
April
2018
DOI: 10.2312/egp.20181009
|
2017 | |
|
5.
|
Iterative Path Adaption (IPA): Predictive Trajectory-Estimation Using Static Pathfinding Algorithms
Proc. of 11th CIRP Conference on Intelligent Computation in Manufacturing Engineering (ICME),
Juli
2017
|
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4.
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Towards Realistic Walk Path Simulation in Automotive Assembly Lines: A Probabilistic Approach
Proc. of 11th CIRP Conference on Intelligent Computation in Manufacturing Engineering (ICME),
Juli
2017
|
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3.
|
Untersuchung zeitwirtschaftlicher Effekte aufgrund hoher Tätigkeitsvarianz in der manuellen Serienfließmontage
63. Frühjahrskongress der Gesellschaft für Arbeitswissenschaft,
Februar
2017
|
|
2.
|
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,
13(3)
2017
|
2016 | |
|
1.
|
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),
(52)
September
2016
|
Felix Gaisbauer
Funktion
Externer Wissenschaftlicher Mitarbeiter (Daimler AG)
Kontakt
Entwicklung Absicherungsmethoden Montage
Daimler AG
Wilhelm-Runge-Str. 11
89013 Ulm/Germany
Mail: felix.gaisbauer@daimler.com
Phone: + 49 731 505 2414
Mobile: + 49 160 6922157
Sprechzeiten
Nach Vereinbarung.