Philipp Agethen

Seit 2015 externer wissenschaftlicher Mitarbeiter bei der Daimler AG im Team "development of assembly validation methods".

Forschungsgebiet

  • Digitale Transformation
  • Digitale Menschmodelle
  • Virtuelle Technologien (VR/AR)
  • Motion Capture

Forschungsprojekte

  • MOSIM (ITEA3) - End-to-end Digital Integration based on Modular Simulation of Natural Human Motions
  • ARVIDA (BMBF) - TP 3.1.3 Kostengünstige Trackingsysteme für die Absicherung der manuellen Endmontage
  • INTERACT (EU) - Interactive Manual Assembly Operations for the Human-Centered Workplaces of the Future

Wissenschaftliche Aktivitäten

Reviewer für

  • CIRP CMS 2018/2019
  • Entertainment Computing
        

Publications

2019

21.
M. Otto, E. Lampen, P. Agethen, M. Langohr, G. Zachmann and E. Rukzio, "A Virtual Reality Assembly Assessment Benchmark for Measuring VR Performance & Limitations", In Proc. CIRP CMS 2019 (52th CIRP Conference on Manufacturing Systems), Jun. 2019. https://doi.org/10.1016/j.procir.2019.03.195.
https://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Rukzio/2019/2019_otto_VR2A.pdf
20.
M. Otto, E. Lampen, P. Agethen, M. Langohr, G. Masan and E. Rukzio, "Evaluation on Perceived Sizes Using Large-Scale Augmented Floor Visualization Devices", In Proc. of Perdis 2019 (8th ACM International Symposium on Pervasive Displays), Jun. 2019. https://doi.org/10.1145/3321335.3324951.
https://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Rukzio/2019/2019_otto_PERDIS.pdf
19.
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
https://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Rukzio/2019/Gaisbauer_GRAPP_2019_18_CR.pdf

2018

18.
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.
DOI: 10.1016/j.procir.2018.03.282
https://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
17.
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
16.
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
https://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Rukzio/2019/2019_agethen_cgf.pdf
15.
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.
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
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
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. 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.
DOI: 10.1016/j.procir.2018.03.223
https://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
12.
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
11.
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
10.
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.
DOI: 10.1016/j.procir.2018.03.281
https://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
9.
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.
DOI: 10.1145/3274247.3274504
https://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Rukzio/2018/MIG18_paper_14.pdf

2017

8.
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
https://www.sciencedirect.com/science/article/pii/S2212827117311125/pdf?md5=4b491e089592ad6b24e8e5d6a1df4a8d&pid=1-s2.0-S2212827117311125-main.pdf
7.
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
https://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Rukzio/2016/1320163.pdf
6.
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.
https://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Rukzio/2017/Towards_realistic_walk_path_simulation_in_automotive_assembly_lines.pdf
5.
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.

2016

4.
M. Otto, M. Prieur, P. Agethen and E. Rukzio, "Dual Reality for Production Verification Workshops: A Comprehensive Set of Virtual Methods", In Proc. of 6th CIRP Conference on Assembly Technologies and Systems (CATS), Mai 2016.
DOI: doi:10.1016/j.procir.2016.02.140
https://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Rukzio/2016/DualRealityOtto.pdf
3.
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
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
2.
P. Agethen, M. Otto, S. Mengel and E. Rukzio, "Using Marker-less Motion Capture Systems for Walk Path Analysis in Paced Assembly Flow Lines", In Proc. of 6th Conference on Learning Factories (CLF), Jul. 2016.
DOI: 10.1016/j.procir.2016.04.125
https://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Rukzio/2016/Marker-less_Motion_Capture_Systems_for_Walk_Path_Analysis.pdf

2015

1.
M. Otto, P. Agethen, F. Geiselhart and E. Rukzio, "Towards ubiquitous tracking: Presenting a scalable, markerless tracking approach using multiple depth cameras" in In Proc. of EuroVR 2015 (European Association for Virtual Reality and Augmented Reality), Best Industrial Paper award, EuroVR 2015, Milano, 2015.
fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Rukzio/2015/OttoEtAl_Towards_ubiquituous_tracking.pdf