Long-Horizon Active SLAM system for multi-agent coordinated exploration M Ossenkopf, G Castro, F Pessacg, K Geihs, P De Cristóforis 2019 European Conference on Mobile Robots (ECMR), 1-6, 2019 | 12 | 2019 |
When Does Communication Learning Need Hierarchical Multi-Agent Deep Reinforcement Learning M Ossenkopf, M Jorgensen, K Geihs Cybernetics and Systems 50 (8), 672-692, 2019 | 7 | 2019 |
Hierarchical multi-agent deep reinforcement learning to develop long-term coordination M Ossenkopf, M Jorgensen, K Geihs Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 922-929, 2019 | 4 | 2019 |
Reinforcement Learning for Manipulators Without Direct Obstacle Perception in Physically Constrained Environments M Ossenkopf, P Ennen, R Vossen, S Jeschke Procedia Manufacturing 11, 329-337, 2017 | 4 | 2017 |
Positioning of Active Wheels for Optimal Ball Handling M Beuermann, M Ossenkopf, K Geihs Robot World Cup, 30-43, 2019 | 2 | 2019 |
Student Competition Teams: Combining Research and Teaching S Opfer, M Ossenkopf, K Geihs Southern African Computer Lecturers’ Association (SACLA 2018), 248, 0 | 1* | |
Enhancing Language Emergence through Empathy M Ossenkopf | | 2019 |