at Google ScholarTitle data
Höllerich, Nico:
Fluency in Dynamic Human-Robot Teaming with Intention Prediction : Data and Plots.
Code Ocean
2025
DOI: https://doi.org/10.24433/CO.2820731.V1
Abstract in another language
The market share of collaborative robots in the industry continues to grow steadily. However, there is still a need to improve human-robot collaboration further to support the ongoing industrial transformation, enabling robots to take on more tasks and function as true teammates. This requires advancements in both perception and decision-making capabilities. This capsule reproduces the data and plots from the dissertation "Fluency in Dynamic Human-Robot Teaming with Intention Prediction". See the README for more information.
Further data
| Item Type: | Other (Research data) |
|---|---|
| Keywords: | Capsule; Computer Science; robotics; human-robot-collaboration; user study; Machine Learning; scheduling and coordination |
| Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science III > Chair Applied Computer Science III - Univ.-Prof. Dr. Dominik Henrich |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science |
| Date Deposited: | 14 Jul 2025 10:45 |
| Last Modified: | 14 Jul 2025 10:45 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/94178 |