Autonomous Electric Race Car Design. - Niklas Funk; Nikhilesh Alatur; Robin Deuber; Frederick Gonon; Nico Messikommer; Julian Nubert; Moritz Patriarca; Simon Schaefer; Dominic Scotoni; Nicholas Bünger; Renaud Dubé; Raghav Khanna; et al. (CoRR, 2017)

Cone Detection using a Combination of LiDAR and Vision-based Machine Learning. - Nico Messikommer; Simon Schaefer; Renaud Dubé; Mark Pfeiffer (CoRR, 2017)

Leveraging Neural Network Gradients within Trajectory Optimization for Proactive Human-Robot Interactions. - Simon Schaefer; Karen Leung; Boris Ivanovic; Marco Pavone 001 (ICRA, 2021)

AEGNN: Asynchronous Event-based Graph Neural Networks. - Simon Schaefer; Daniel Gehrig; Davide Scaramuzza 001 (CVPR, 2022)

Visual-Inertial SLAM with Tightly-Coupled Dropout-Tolerant GPS Fusion. - Simon Boche; Xingxing Zuo 001; Simon Schaefer; Stefan Leutenegger (IROS, 2022)

The Software Stack That Won the Formula Student Driverless Competition. - Andres Alvarez; Nico Denner; Zhe Feng; David Fischer; Yang Gao; Lukas Harsch; Sebastian Herz; Nick Le Large; Bach Nguyen; Carlos Rosero; Simon Schaefer; Alexander Terletskiy; et al. (CoRR, 2022)

A Benchmark for Multi-Robot Planning in Realistic, Complex and Cluttered Environments. - Simon Schaefer; Luigi Palmieri; Lukas Heuer; Rüdiger Dillmann; Sven Koenig; Alexander Kleiner (ICRA, 2023)

BodySLAM++: Fast and Tightly-Coupled Visual-Inertial Camera and Human Motion Tracking. - Dorian Fritz Henning; Christopher L. Choi; Simon Schaefer; Stefan Leutenegger (IROS, 2023)

GloPro: Globally-Consistent Uncertainty-Aware 3D Human Pose Estimation & Tracking in the Wild. - Simon Schaefer; Dorian Fritz Henning; Stefan Leutenegger (IROS, 2023)

Development of a Drive Unit for a Medical Breast Pump. - Simon Schaefer; Sascha Kratz; Stefan Soter (HealthCom, 2024)

Online Tree Reconstruction and Forest Inventory on a Mobile Robotic System. - Leonard Freißmuth; Matías Mattamala; Nived Chebrolu; Simon Schaefer; Stefan Leutenegger; Maurice F. Fallon (IROS, 2024)

Scalable Autonomous Drone Flight in the Forest with Visual-Inertial SLAM and Dense Submaps Built without LiDAR. - Sebastián Barbas Laina; Simon Boche; Sotiris Papatheodorou; Dimos Tzoumanikas; Simon Schaefer; Hanzhi Chen; Stefan Leutenegger (CoRR, 2024)

DynamicGlue: Epipolar and Time-Informed Data Association in Dynamic Environments using Graph Neural Networks. - Theresa Huber; Simon Schaefer; Stefan Leutenegger (CoRR, 2024)

SC-Diff: 3D Shape Completion with Latent Diffusion Models. - Juan D. Galvis; Xingxing Zuo 001; Simon Schaefer; Stefan Leutenegger (CoRR, 2024)

SuperEvent: Cross-Modal Learning of Event-based Keypoint Detection. - Yannick Burkhardt; Simon Schaefer; Stefan Leutenegger (CoRR, 2025)

FindAnything: Open-Vocabulary and Object-Centric Mapping for Robot Exploration in Any Environment. - Sebastián Barbas Laina; Simon Boche; Sotiris Papatheodorou; Simon Schaefer; Jaehyung Jung; Stefan Leutenegger (CoRR, 2025)

Int-HRL: towards intention-based hierarchical reinforcement learning. - Anna Penzkofer; Simon Schaefer; Florian Strohm; Mihai Bâce; Stefan Leutenegger; Andreas Bulling (Neural Comput. Appl., 2025)