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Andreas Brandstätter

Projektass. Ing. Dipl.-Ing. Dr.techn. / BSc

Andreas Brandstätter

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  • Flock-Formation Control of Multi-Agent Systems using Imperfect Relative Distance Measurements / Brandstätter, A., Smolka, S. A., Stoller, S. D., Tiwari, A., & Grosu, R. (2024). Flock-Formation Control of Multi-Agent Systems using Imperfect Relative Distance Measurements. In Proceedings 2024 IEEE International Conference on Robotics and Automation (ICRA) (pp. 12193–12200). https://doi.org/10.1109/ICRA57147.2024.10610147
  • Multi-Agent Spatial Predictive Control with Application to Drone Flocking / Brandstatter, A., Smolka, S. A., Stoller, S. D., Tiwari, A., & Grosu, R. (2023). Multi-Agent Spatial Predictive Control with Application to Drone Flocking. In 2023 IEEE International Conference on Robotics and Automation (ICRA) (pp. 1221–1227). IEEE. https://doi.org/10.1109/ICRA48891.2023.10160617
  • Towards Drone Flocking Using Relative Distance Measurements / Brandstätter, A., Smolka, S. A., Stoller, S. D., Tiwari, A., & Grosu, R. (2022). Towards Drone Flocking Using Relative Distance Measurements. In Leveraging Applications of Formal Methods, Verification and Validation. Adaptation and Learning (ISoLA 2022). Proceedings, Part III (pp. 97–109). Springer. https://doi.org/10.1007/978-3-031-19759-8_7
  • Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing / Brunnbauer, A., Berducci, L., Brandstätter, A., Lechner, M., Hasani, R., Rus, D., & Grosu, R. (2022). Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing. In 2022 IEEE International Conference on Robotics and Automation (ICRA) (pp. 7513–7520). https://doi.org/10.1109/ICRA46639.2022.9811650
  • Local positioning system for quadcopters / Brandstätter, A. (2019). Local positioning system for quadcopters [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2019.32156
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