Publications

Conference and Journal Papers

M. Schuck, D. O. Dahanaggamaarachchi, B. Sprenger, V. Vyas, S. Zhou and A. P. Schoellig, “SwarmGPT: Combining Large Language Models With Safe Motion Planning for Drone Swarm Choreography,” in IEEE Robotics and Automation Letters, vol. 10, no. 11, pp. 12237-12244, 2025. [paper]

M. Schuck, J. Brüdigam, S. Hirche, A. P. Schoellig “Reinforcement Learning with Lie Group Orientations for Robotics,” in IEEE International Conference on Robotics and Automation (ICRA), 2025. [paper]

S. Teetaert, W. Zhao, A. Loquercio, S. Zhou, L. Brunke, M. Schuck, W. Hönig, J. Panerati, A. P. Schoellig, “Advancing Reproducibility, Benchmarks, and Education with Remote Sim2real,” in IEEE Robotics & Automation Magazine, vol. 32, no. 1, pp. 117-123, March 2025. [paper]

J. Brüdigam, M. Schuck, A. Capone, S. Sosnowski, S. Hirche “Structure-Preserving Learning Using Gaussian Processes and Variational Integrators,” in Proceedings of The 4th Annual Learning for Dynamics and Control Conference, 2022 [paper]

Workshop Papers

M. Schuck, A. v. Rohr, A. P. Schoellig “scipy.spatial.transform: Differentiable Framework-Agnostic 3D Transformations in Python,” in 1st Workshop on Differentiable Systems and Scientific Machine Learning, EurIPS, 2025. [preprint]

R. Römer, L. Brunke, M. Schuck, A. P. Schoellig “Safe Offline Reinforcement Learning using Trajectory-Level Diffusion Models,” in Workshop Back to the Future: Robot Learning Going Probabilistic, ICRA, 2024 . [preprint]