| Aegnn: Asynchronous event-based graph neural networks S Schaefer, D Gehrig, D Scaramuzza Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 148 | 2022 |
| Leveraging neural network gradients within trajectory optimization for proactive human-robot interactions S Schaefer, K Leung, B Ivanovic, M Pavone 2021 IEEE International Conference on Robotics and Automation (ICRA), 9673-9679, 2021 | 32 | 2021 |
| Autonomous electric race car design N Funk, N Alatur, R Deuber, F Gonon, N Messikommer, J Nubert, ... EVS30 Symposium 2017, 2017 | 21 | 2017 |
| Visual-inertial slam with tightly-coupled dropout-tolerant gps fusion S Boche, X Zuo, S Schaefer, S Leutenegger 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 18 | 2022 |
| BodySLAM++: Fast and Tightly-Coupled Visual-Inertial Camera and Human Motion Tracking DF Henning, C Choi, S Schaefer, S Leutenegger 2023 IEEE International Conference on Intelligent Robots and Systems (2023), 2023 | 9 | 2023 |
| The software stack that won the formula student driverless competition A Alvarez, N Denner, Z Feng, D Fischer, Y Gao, L Harsch, S Herz, ... arXiv preprint arXiv:2210.10933, 2022 | 7 | 2022 |
| Online Tree Reconstruction and Forest Inventory on a Mobile Robotic System L Freißmuth, M Mattamala, N Chebrolu, S Schaefer, S Leutenegger, ... arXiv preprint arXiv:2403.17622, 2024 | 4 | 2024 |
| SC-Diff: 3D Shape Completion with Latent Diffusion Models JD Galvis, X Zuo, S Schaefer, S Leutengger arXiv preprint arXiv:2403.12470, 2024 | 4 | 2024 |
| GloPro: Globally-Consistent Uncertainty-Aware 3D Human Pose Estimation & Tracking in the Wild S Schaefer, DF Henning, S Leutenegger 2023 IEEE International Conference on Intelligent Robots and Systems (2023), 2023 | 3 | 2023 |
| Scalable Autonomous Drone Flight in the Forest with Visual-Inertial SLAM and Dense Submaps Built without LiDAR SB Laina, S Boche, S Papatheodorou, D Tzoumanikas, S Schaefer, ... arXiv preprint arXiv:2403.09596, 2024 | 2 | 2024 |
| Int-HRL: Towards Intention-based Hierarchical Reinforcement Learning A Penzkofer, S Schaefer, F Strohm, M Bâce, S Leutenegger, A Bulling AAMAS 2023 - Proc. Adaptive and Learning Agents Workshop (ALA), 2023 | 1 | 2023 |
| DynamicGlue: Epipolar and Time-Informed Data Association in Dynamic Environments using Graph Neural Networks T Huber, S Schaefer, S Leutenegger arXiv preprint arXiv:2403.11370, 2024 | | 2024 |
| Scalable Autonomous Drone Flight in the Forest with Visual-Inertial SLAM and Dense Submaps Built without LiDAR S Barbas Laina, S Boche, S Papatheodorou, D Tzoumanikas, S Schaefer, ... arXiv e-prints, arXiv: 2403.09596, 2024 | | 2024 |
| Toward Reliable Benchmarking for Multi-Robot Planning in Realistic, Cluttered and Complex Environments S Schaefer, L Palmieri, L Heuer, N van Duijkeren, R Dillmann, S Koenig, ... IROS-22 Workshop on Decision Making in Multi-Agent Systems (DMMAS), 2022 | | 2022 |
| Minimally-Interfering, Safety-Guaranteed Crowd Navigation for Multimodal Pedestrian Prediction S Schaefer ETH Zürich & Stanford University, 2021 | | 2021 |
| Cone Detection Using a Combination of LiDAR and Vision-Based Machine Learning N Messikommer, S Schaefer, R Dubé, M Pfeiffer arXiv preprint arXiv:1711.02079, 2017 | | 2017 |
| Supplementary Material—AEGNN: Asynchronous Event-based Graph Neural Networks S Schaefer, D Gehrig, D Scaramuzza | | |
| Tetris Agent Implementation N Funk, M Goel, A Pramanik, S Schaefer | | |
Daniel GehrigPostdoctoral researcher, GRASP Lab, University of PennsylvaniaEmail verificata su seas.upenn.edu