PhD Student
Thomas Gulde, M.Sc.
Thomas Gulde, M.Sc.
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I’m a PhD student in the cognitive systems research group of the department of computer-science at Reutlingen-University. After my studies of electrical engineering and automation technologies (B.Eng.) at the Baden-Württemberg Cooperative State University Stuttgart - Horb I joined the masters program Human-Centered Computing at Reutlingen-University.
My work mainly focuses on robotics, computer-vision and -perception, as well as human-centered, collaborative systems. We combine technologies and methods from these fields to create autonomous robotic systems, collaborative environments and assistive technologies.
I am currently involved in the research projects Kollaborativer Routenzug 4.0 (KollRo4.0) and KONSENS.
CVsince 2016 | Researcher & PhD Student, Reutlingen University/Reutlingen Research Institute (RRI) | Robotics, Autonomous Navigation, Computer Vision, Motion Planning, Industry 4.0 |
2014-2016 | Human Centered Computing (M.Sc.), Reutlingen University | Part time Software Developer, iT Engineering GmbH - 72142 Pliezhausen ; Machine Simulation, PLC and High Level Programming |
2011-2013 | Electrical Engineering - Automation Technologies (B.Eng.) University of Cooperative Stuttgart Campus Horb | Cooperative Education, bs Automatisierung GmbH - 72348 Rosenfeld ; Robotics, PLC and High Level Programming, Computer Vision |
2019 |
Gulde T., Ludl D., Andrejtschik J., Thalji S., Curio C. (2019): RoPose-Real: Real World Dataset Acquisition for Data-Driven Industrial Robot Arm Pose Estimation, 2019 International Conference on Robotics and Automation (ICRA), Montreal, QC, Canada, 2019, pp. 4389-4395, doi: 10.1109/ICRA.2019.8793900.
Essich, M., Ludl, D., Gulde, T. and Curio, C. (2019) Learning to Translate Between Real World and Simulated 3D Sensors While Transferring Task Models, 2019 International Conference on 3D Vision (3DV), Québec City, QC, Canada, 2019, pp. 681-689, doi: 10.1109/3DV.2019.00080.
[ DOI ]
2018 |
Baulig G., Gulde T., Curio C. (2018) Adapting Egocentric Visual Hand Pose Estimation Towards a Robot-Controlled Exoskeleton, 4th Workshop on Observing and Understanding Hands in Action (HANDS2018)
Ludl D., Gulde T., Thalji S., Curio C. (2018): Using simulation to improve human pose estimation for corner cases, 21st IEEE International Conference on Intelligent Transportation Systems (ITSC), November 4-7, Hawaii, USA.
Runner-up Best Paper Award
[ DOI | PDF | Source Code ]
Gulde T., Ludl D., Curio C. (2018): RoPose: CNN-Based 2D Pose Estimation of Industrial Robots, 14th IEEE Conference on Automation Science and Engineering (CASE), Munich, August.
2016 |
Gulde T., Kärcher S.*, Curio C. (2016): Vision-based SLAM navigation for vibro-tactile human-centered indoor guidance, (* University of Osnabrück, feelspace GmbH), Fourth International Workshop on Assistive Computer Vision and Robotics (ACVR)