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)

Developing a Purely Visual Based Obstacle Detection using Inverse Perspective Mapping. - Julian Nubert; Niklas Funk; Fabio Vito Meier; Fabrice Oehler (CoRR, 2018)

Learn2Assemble with Structured Representations and Search for Robotic Architectural Construction. - Niklas Funk; Georgia Chalvatzaki; Boris Belousov; Jan Peters 001 (CoRL, 2021)

Real Robot Challenge: A Robotics Competition in the Cloud. - Stefan Bauer; Manuel Wüthrich; Felix Widmaier; Annika Buchholz; Sebastian Stark; Anirudh Goyal; Thomas Steinbrenner; Joel Akpo; Shruti Joshi; Vincent Berenz; Vaibhav Agrawal; Niklas Funk; et al. (NeurIPS (Competition and Demos), 2021)

A Robot Cluster for Reproducible Research in Dexterous Manipulation. - Stefan Bauer; Felix Widmaier; Manuel Wüthrich; Niklas Funk; Julen Urain De Jesus; Jan Peters 001; Joe Watson; Claire Chen; Krishnan Srinivasan; Junwu Zhang; Jeffrey Zhang 005; Matthew R. Walter; et al. (CoRR, 2021)

Learning event-triggered control from data through joint optimization. - Niklas Funk; Dominik Baumann; Vincent Berenz; Sebastian Trimpe (IFAC J. Syst. Control., 2021)

Graph-based Reinforcement Learning meets Mixed Integer Programs: An application to 3D robot assembly discovery. - Niklas Funk; Svenja Menzenbach; Georgia Chalvatzaki; Jan Peters 001 (IROS, 2022)

Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation. - Niklas Funk; Charles B. Schaff; Rishabh Madan; Takuma Yoneda; Julen Urain De Jesus; Joe Watson; Ethan K. Gordon; Felix Widmaier; Stefan Bauer; Siddhartha S. Srinivasa; Tapomayukh Bhattacharjee; Matthew R. Walter; et al. (IEEE Robotics Autom. Lett., 2022)

SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion. - Julen Urain; Niklas Funk; Jan Peters 001; Georgia Chalvatzaki (ICRA, 2023)

Placing by Touching: An Empirical Study on the Importance of Tactile Sensing for Precise Object Placing. - Luca Lach; Niklas Funk; Robert Haschke; Séverin Lemaignan; Helge Joachim Ritter; Jan Peters 001; Georgia Chalvatzaki (IROS, 2023)

A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics. - Puze Liu; Jonas Günster; Niklas Funk; Simon Gröger; Dong Chen; Haitham Bou-Ammar; Julius Jankowski; Ante Maric; Sylvain Calinon; Andrej Orsula; Miguel S. Olivares-Méndez; Hongyi Zhou; et al. (NeurIPS, 2024)

ActionFlow: Equivariant, Accurate, and Efficient Policies with Spatially Symmetric Flow Matching. - Niklas Funk; Julen Urain; Joao Carvalho; Vignesh Prasad; Georgia Chalvatzaki; Jan Peters 001 (CoRR, 2024)

Learning Force Distribution Estimation for the GelSight Mini Optical Tactile Sensor Based on Finite Element Analysis. - Erik Helmut; Luca Dziarski; Niklas Funk; Boris Belousov; Jan Peters 001 (CoRR, 2024)

Particle-based 6D Object Pose Estimation from Point Clouds using Diffusion Models. - Christian Möller; Niklas Funk; Jan Peters 001 (CoRR, 2024)

Evetac: An Event-Based Optical Tactile Sensor for Robotic Manipulation. - Niklas Funk; Erik Helmut; Georgia Chalvatzaki; Roberto Calandra; Jan Peters 001 (IEEE Trans. Robotics, 2024)

On the Importance of Tactile Sensing for Imitation Learning: A Case Study on Robotic Match Lighting. - Niklas Funk; Changqi Chen; Tim Schneider; Georgia Chalvatzaki; Roberto Calandra; Jan Peters 001 (CoRR, 2025)