Niklas Funk
Niklas Funk
Intelligent Autonomous Systems Group, TU Darmstadt
Verified email at - Homepage
Cited by
Cited by
Autonomous electric race car design
N Funk, N Alatur, R Deuber, F Gonon, N Messikommer, J Nubert, ...
arXiv preprint arXiv:1711.00548, 2017
Learn2assemble with structured representations and search for robotic architectural construction
N Funk, G Chalvatzaki, B Belousov, J Peters
Conference on Robot Learning, 1401-1411, 2022
Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation
N Funk, C Schaff, R Madan, T Yoneda, J Urain De Jesus, J Watson, ...
IEEE Robotics and Automation Letters 7 (1), 478-485, 2022
Learning Event-triggered Control from Data through Joint Optimization
N Funk, D Baumann, V Berenz, S Trimpe
IFAC Journal of Systems and Control 16, 100144, 2021
Reinforcement learning for sequential assembly of SL-blocks-self-interlocking combinatorial design based on machine learning
B Wibranek, Y Liu, N Funk, B Belousov, J Peters, O Tessmann
Proceedings of the 39th eCAADe Conference 1, 27-36, 2021
A robot cluster for reproducible research in dexterous manipulation
S Bauer, F Widmaier, M Wüthrich, N Funk, JU De Jesus, J Peters, ...
arXiv preprint arXiv:2109.10957, 2021
SE (3)-DiffusionFields: Learning cost functions for joint grasp and motion optimization through diffusion
J Urain, N Funk, G Chalvatzaki, J Peters
arXiv preprint arXiv:2209.03855, 2022
Graph-based Reinforcement Learning meets Mixed Integer Programs: An application to 3D robot assembly discovery
N Funk, S Menzenbach, G Chalvatzaki, J Peters
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022
Auto (mated) nomous Assembly
Y Liu, B Belousov, N Funk, G Chalvatzaki, J Peters, O Tessmann
Trends on Construction in the Digital Era: Proceedings of ISIC 2022, 167-181, 2022
Placing by Touching: An empirical study on the importance of tactile sensing for precise object placing
L Lach, N Funk, R Haschke, S Lemaignan, HJ Ritter, J Peters, ...
Learning Event-triggered Control: Leveraging Hierarchical Reinforcement Learning Algorithms to Obtain Resource-aware Controllers
N Funk
ETH Zürich, 2020
Developing a Purely Visual Based Obstacle Detection using Inverse Perspective Mapping
J Nubert, N Funk, F Meier, F Oehler
arXiv preprint arXiv:1809.01268, 2018
Reinforcement Learning for Sequential Assembly of SL-Blocks
B Wibranek, Y Liu, N Funk, B Belousov, J Peters, O Tessmann
Tetris Agent Implementation
N Funk, M Goel, A Pramanik
Object Tracking For Robotic Assembly Dataset Creation And Tracking Evaluation
L Magnus, S Menzenbach, M Siebenborn, N Funk, B Belousov, ...
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