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Conflict-based model predictive control for multi-agent path finding experimentally validated on a magnetic planar drive system2025 Frontiers in Control Engineering article Computer Science Robotic Path Planning Algorithms Open access
Kai Janning, Abdalsalam Housin, Christopher Schulte, Frederik Erkens, Luca Frenken, Laura Herbst, +2 more
1citations -
Deep Reinforcement Learning for Robotic Control in High-Dexterity Assembly Tasks — A Reward Curriculum Approach2022 International Journal of Semantic Computing article Computer Science Reinforcement Learning in Robotics
Lars Leyendecker, Hans Aoyang Zhou, Владимир Самсонов, Marius Rittstieg, Daniel Lütticke
7citations -
Deep Reinforcement Learning for Robotic Control in High-Dexterity Assembly Tasks - A Reward Curriculum Approach2021 IEEE International Conference on Robotic Computing (IRC) conference-paper Computer Science Reinforcement Learning in Robotics
Lars Leyendecker, Hans Aoyang Zhou, Владимир Самсонов, Marius Rittstieg, Daniel Lütticke
9citations -
Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF2025 Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes conference-paper Computer Science Target Tracking and Data Fusion in Sensor Networks
Tobin Holtmann, David Stenger, Andrés Felipe Posada-Moreno, Friedrich Solowjow, Sebastian Trimpe
0citations -
How Far is Too Far? The Trade-Off Between Selection Distance and Accuracy During Teleportation in Immersive Virtual Reality2025 IEEE Transactions on Visualization and Computer Graphics article Computer Science Virtual Reality Applications and Impacts
Daniel Rupp, Tim Weißker, Matthias Wölwer, Torsten Kuhlen, Daniel Zielasko
1citations