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ORCIDDaniel F. B. Haeufle
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2020 – today
- 2024
[j14]Zhiming Hu
, Zheming Yin, Daniel F. B. Haeufle, Syn Schmitt, Andreas Bulling:
HOIMotion: Forecasting Human Motion During Human-Object Interactions Using Egocentric 3D Object Bounding Boxes. IEEE Trans. Vis. Comput. Graph. 30(11): 7375-7385 (2024)- [c12]Isabell Wochner, Tobias Nadler, Katrin Stollenmaier, Christina Pley, Winfried Ilg, Simon Wolfen, Syn Schmitt, Daniel F. B. Haeufle:
ATARO: A Muscle-Driven Biorobotic Arm to Investigate Healthy and Impaired Motor Control. BioRob 2024: 358-363 - [c11]Maria Sapounaki, Pierre Schumacher, Winfried Ilg, Martin A. Giese, Christophe Maufroy, Andreas Bulling, Syn Schmitt, Daniel F. B. Haeufle, Isabell Wochner:
Quantifying Human Upper Limb Stiffness Responses Based on a Computationally Efficient Neuromusculoskeletal Arm Model. BioRob 2024: 514-519 - [c10]Jhon Charaja, Isabell Wochner, Pierre Schumacher, Winfried Ilg, Martin A. Giese, Christophe Maufroy, Andreas Bulling, Syn Schmitt, Georg Martius, Daniel F. B. Haeufle:
Generating Realistic Arm Movements in Reinforcement Learning: A Quantitative Comparison of Reward Terms and Task Requirements. BioRob 2024: 562-568 - [c9]Pierre Schumacher, Lorenz Krause, Jan Schneider, Dieter Büchler, Georg Martius, Daniel F. B. Haeufle:
Learning to Control Emulated Muscles in Real Robots: A Software Test Bed for Bio-Inspired Actuators in Hardware. BioRob 2024: 806-813 - [c8]Jan Schneider, Pierre Schumacher, Simon Guist, Le Chen, Daniel F. B. Haeufle, Bernhard Schölkopf, Dieter Büchler:
Identifying Policy Gradient Subspaces. ICLR 2024 - [i13]Jan Schneider, Pierre Schumacher, Simon Guist, Le Chen, Daniel F. B. Häufle, Bernhard Schölkopf, Dieter Büchler:
Identifying Policy Gradient Subspaces. CoRR abs/2401.06604 (2024) - [i12]Pierre Schumacher, Lorenz Krause, Jan Schneider, Dieter Büchler, Georg Martius, Daniel F. B. Haeufle:
Learning to Control Emulated Muscles in Real Robots: Towards Exploiting Bio-Inspired Actuator Morphology. CoRR abs/2402.05371 (2024) - [i11]Jhon Charaja, Isabell Wochner, Pierre Schumacher, Winfried Ilg, Martin A. Giese, Christophe Maufroy, Andreas Bulling, Syn Schmitt, Daniel F. B. Haeufle:
Generating Realistic Arm Movements in Reinforcement Learning: A Quantitative Comparison of Reward Terms and Task Requirements. CoRR abs/2402.13949 (2024) - [i10]Zhiming Hu, Syn Schmitt, Daniel F. B. Haeufle, Andreas Bulling:
GazeMotion: Gaze-guided Human Motion Forecasting. CoRR abs/2403.09885 (2024) - [i9]Zhiming Hu, Zheming Yin, Daniel F. B. Haeufle, Syn Schmitt, Andreas Bulling:
HOIMotion: Forecasting Human Motion During Human-Object Interactions Using Egocentric 3D Object Bounding Boxes. CoRR abs/2407.02633 (2024) - 2023
- [j13]Chenxu Hao, Nele Russwinkel, Daniel F. B. Haeufle, Philipp Beckerle:
A Commentary on Towards autonomous artificial agents with an active self: Modeling sense of control in situated action. Cogn. Syst. Res. 79: 1-3 (2023) - [c7]Pierre Schumacher, Daniel F. B. Haeufle, Dieter Büchler, Syn Schmitt, Georg Martius:
DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems. ICLR 2023 - [i8]Pierre Schumacher, Thomas Geijtenbeek, Vittorio Caggiano, Vikash Kumar, Syn Schmitt, Georg Martius, Daniel F. B. Haeufle:
Natural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal Models. CoRR abs/2309.02976 (2023) - [i7]Jan Schneider, Pierre Schumacher, Daniel F. B. Häufle, Bernhard Schölkopf, Dieter Büchler:
Investigating the Impact of Action Representations in Policy Gradient Algorithms. CoRR abs/2309.06921 (2023) - 2022
- [c6]Isabell Wochner, Pierre Schumacher, Georg Martius, Dieter Büchler, Syn Schmitt, Daniel F. B. Haeufle:
Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks. CoRL 2022: 1178-1188 - [i6]Pierre Schumacher, Daniel F. B. Häufle, Dieter Büchler, Syn Schmitt, Georg Martius:
DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems. CoRR abs/2206.00484 (2022) - [i5]Isabell Wochner, Pierre Schumacher, Georg Martius, Dieter Büchler, Syn Schmitt, Daniel F. B. Haeufle:
Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks. CoRR abs/2207.03952 (2022) - [i4]An Mo, Fabio Izzi, Emre Cemal Gönen, Daniel F. B. Haeufle, Alexander Badri-Spröwitz:
Slack-based tunable damping leads to a trade-off between robustness and efficiency in legged locomotion. CoRR abs/2212.00475 (2022) - [i3]Lucas Schreff, Daniel F. B. Haeufle, Alexander Badri-Spröwitz, Johanna Vielemeyer, Roy Müller:
Virtual pivot point in human walking: always experimentally observed but simulations suggest it may not be necessary. CoRR abs/2212.10074 (2022) - 2021
- [j12]Johannes R. Walter, Michael Günther, Daniel F. B. Haeufle, Syn Schmitt:
A geometry- and muscle-based control architecture for synthesising biological movement. Biol. Cybern. 115(1): 7-37 (2021) - [j11]Johannes R. Walter, Michael Günther, Daniel F. B. Haeufle, Syn Schmitt:
Correction to: A geometry- and muscle-based control architecture for synthesising biological movement. Biol. Cybern. 115(2): 193 (2021) - [c5]Vittorio Caggiano, Guillaume Durandau, Huawei Wang, Alberto Silvio Chiappa, Alexander Mathis, Pablo Tano, Nisheet Patel, Alexandre Pouget, Pierre Schumacher, Georg Martius, Daniel F. B. Haeufle, Yiran Geng, Boshi An, Yifan Zhong, Jiaming Ji, Yuanpei Chen, Hao Dong, Yaodong Yang, Rahul Siripurapu, Luis Eduardo Ferro Diez, Michael Kopp, Vihang Patil, Sepp Hochreiter, Yuval Tassa, Josh Merel, Randy Schultheis, Seungmoon Song, Massimo Sartori, Vikash Kumar:
MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand. NeurIPS (Competition and Demos) 2021: 233-250 - 2020
- [j10]Isabell Wochner, Danny Drieß, Heiko Zimmermann, Daniel F. B. Haeufle, Marc Toussaint, Syn Schmitt:
Optimality Principles in Human Point-to-Manifold Reaching Accounting for Muscle Dynamics. Frontiers Comput. Neurosci. 14: 38 (2020) - [j9]Daniel F. B. Haeufle, Isabell Wochner, David Holzmüller, Danny Driess, Michael Günther, Syn Schmitt:
Muscles Reduce Neuronal Information Load: Quantification of Control Effort in Biological vs. Robotic Pointing and Walking. Frontiers Robotics AI 7: 77 (2020) - [j8]An Mo, Fabio Izzi, Daniel F. B. Haeufle, Alexander Badri-Spröwitz:
Effective Viscous Damping Enables Morphological Computation in Legged Locomotion. Frontiers Robotics AI 7: 110 (2020) - [j7]Daniel F. B. Haeufle, Katrin Stollenmaier, Isabelle Heinrich, Syn Schmitt, Keyan Ghazi-Zahedi:
Morphological Computation Increases From Lower- to Higher-Level of Biological Motor Control Hierarchy. Frontiers Robotics AI 7: 511265 (2020) - [c4]Katrin Stollenmaier, Ilka S. Rist, Fabio Izzi, Daniel F. B. Haeufle:
Simulating the response of a neuro-musculoskeletal model to assistive forces: implications for the design of wearables compensating for motor control deficits. BioRob 2020: 779-784 - [i2]An Mo, Fabio Izzi, Daniel F. B. Haeufle, Alexander Badri-Spröwitz:
Effective Viscous Damping Enables Morphological Computation in Legged Locomotion. CoRR abs/2005.05725 (2020)
2010 – 2019
- 2018
- [j6]Daniel F. B. Haeufle, Birgit Schmortte, Hartmut Geyer, Roy Müller, Syn Schmitt:
The Benefit of Combining Neuronal Feedback and Feed-Forward Control for Robustness in Step Down Perturbations of Simulated Human Walking Depends on the Muscle Function. Frontiers Comput. Neurosci. 12: 80 (2018) - [c3]Danny Drieß, Heiko Zimmermann, Simon Wolfen, Dan Suissa, Daniel F. B. Haeufle, Daniel Hennes, Marc Toussaint, Syn Schmitt:
Learning to Control Redundant Musculoskeletal Systems with Neural Networks and SQP: Exploiting Muscle Properties. ICRA 2018: 6461-6468 - [c2]Simon Wolfen, Johannes R. Walter, Michael Günther, Daniel F. B. Haeufle, Syn Schmitt:
Bioinspired pneumatic muscle spring units mimicking the human motion apparatus: benefits for passive motion range and joint stiffness variation in antagonistic setups. M2VIP 2018: 1-6 - 2016
- [j5]Keyan Ghazi-Zahedi, Daniel F. B. Haeufle, Guido Montúfar, Syn Schmitt, Nihat Ay:
Evaluating Morphological Computation in Muscle and DC-Motor Driven Models of Hopping Movements. Frontiers Robotics AI 3: 42 (2016) - 2015
- [c1]Daniel F. B. Haeufle, Michael Günther, Syn Schmitt:
Musculo-Skeletal Models as Tools to Quantify Embodiment. ECAL 2015: 68 - [i1]Keyan Ghazi-Zahedi, Daniel F. B. Haeufle, Guido Montúfar, Syn Schmitt, Nihat Ay:
Evaluating Morphological Computation in Muscle and DC-motor Driven Models of Human Hopping. CoRR abs/1512.00250 (2015) - 2013
- [j4]Syn Schmitt, Michael Günther, Tille Rupp, Alexandra Bayer, Daniel F. B. Häufle:
Theoretical Hill-Type Muscle and Stability: Numerical Model and Application. Comput. Math. Methods Medicine 2013: 570878:1-570878:7 (2013) - 2012
- [j3]André Seyfarth, Sten Grimmer, Daniel F. B. Häufle, Karl-Theodor Kalveram:
Can Robots Help to Understand Human Locomotion? Autom. 60(11): 653-661 (2012) - [j2]Karl-Theodor Kalveram, Daniel F. B. Haeufle, André Seyfarth, Sten Grimmer:
Energy management that generates terrain following versus apex-preserving hopping in man and machine. Biol. Cybern. 106(1): 1-13 (2012) - [j1]Michael Günther, Oliver Röhrle, Daniel F. B. Haeufle, Syn Schmitt:
Spreading out Muscle Mass within a Hill-Type Model: A Computer Simulation Study. Comput. Math. Methods Medicine 2012: 848630:1-848630:13 (2012)
Coauthor Index
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last updated on 2024-11-11 22:22 CET by the dblp team
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