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ORCIDFreek Stulp
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- affiliation: German Aerospace Center, DLR, Weßling, Germany
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2020 – today
- 2024
[j42]Antonin Raffin, Olivier Sigaud, Jens Kober, Alin Albu-Schäffer, João Silvério, Freek Stulp:
An Open-Loop Baseline for Reinforcement Learning Locomotion Tasks. RLJ 1: 92-107 (2024)- [j41]Abhishek Padalkar, Gabriel Quere, Antonin Raffin, João Silvério, Freek Stulp:
Guiding real-world reinforcement learning for in-contact manipulation tasks with Shared Control Templates. Auton. Robots 48(4-5): 12 (2024) - [j40]Maximilian Mühlbauer
, Thomas Hulin, Bernhard M. Weber, Sylvain Calinon, Freek Stulp, Alin Albu-Schäffer, João Silvério:
A Probabilistic Approach to Multi-Modal Adaptive Virtual Fixtures. IEEE Robotics Autom. Lett. 9(6): 5298-5305 (2024) - [j39]Ryo Sakagami, Andreas Dömel, Peter Lehner, Sebastian Riedel, Sebastian G. Brunner, Alin Albu-Schäffer, Freek Stulp:
A Tree-Based World Model for Reducing System Complexity in Autonomous Mobile Manipulation. IEEE Robotics Autom. Lett. 9(7): 6680-6687 (2024) - [j38]Samuel Bustamante, Ismael Rodríguez, Gabriel Quere, Peter Lehner, Maged Iskandar, Daniel Leidner, Andreas Dömel, Alin Albu-Schäffer, Jörn Vogel, Freek Stulp:
Feasibility Checking and Constraint Refinement for Shared Control in Assistive Robotics. IEEE Robotics Autom. Lett. 9(9): 8019-8026 (2024) - [c57]Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 2024: 6892-6903 - [c56]Freek Stulp, Adrià Colomé, Carme Torras:
Fitting Parameters of Linear Dynamical Systems to Regularize Forcing Terms in Dynamical Movement Primitives. ICRA 2024: 15024-15030 - [c55]Gabriel Quere, Freek Stulp, David Filliat, João Silvério:
A probabilistic approach for learning and adapting shared control skills with the human in the loop. ICRA 2024: 15728-15734 - [c54]Elle Miller, Maximilian Durner, Matthias Humt, Gabriel Quere, Wout Boerdijk, Ashok M. Sundaram, Freek Stulp, Jörn Vogel:
Unknown Object Grasping for Assistive Robotics. ICRA 2024: 18157-18163 - [i17]Florian Leutert, David Bohlig, Florian Kempf, Klaus Schilling, Maximilian Mühlbauer, Bengisu Ayan, Thomas Hulin, Freek Stulp, Alin Albu-Schäffer, Vladimir Kutscher, Christian Plesker, Thomas Dasbach, Stephan Damm, Reiner Anderl, Benjamin Schleich:
AI-enabled Cyber-Physical In-Orbit Factory - AI approaches based on digital twin technology for robotic small satellite production. CoRR abs/2401.17799 (2024) - [i16]Elle Miller, Maximilian Durner, Matthias Humt, Gabriel Quere, Wout Boerdijk, Ashok M. Sundaram, Freek Stulp, Jörn Vogel:
Unknown Object Grasping for Assistive Robotics. CoRR abs/2404.15001 (2024) - [i15]Markus Knauer, Alin Albu-Schäffer, Freek Stulp, João Silvério:
Interactive incremental learning of generalizable skills with local trajectory modulation. CoRR abs/2409.05655 (2024) - [i14]Tim R. Winter, Ashok M. Sundaram, Werner Friedl, Máximo A. Roa, Freek Stulp, João Silvério:
State- and context-dependent robotic manipulation and grasping via uncertainty-aware imitation learning. CoRR abs/2410.24035 (2024) - 2023
- [j37]Ryo Sakagami, Florian Samuel Lay, Andreas Dömel, Martin J. Schuster, Alin Albu-Schäffer, Freek Stulp:
Robotic world models - conceptualization, review, and engineering best practices. Frontiers Robotics AI 10 (2023) - [c53]Ryo Sakagami, Sebastian G. Brunner, Andreas Dömel, Armin Wedler, Freek Stulp:
ROSMC: A High-Level Mission Operation Framework for Heterogeneous Robotic Teams. ICRA 2023: 5473-5479 - [c52]Abhishek Padalkar, Gabriel Quere, Franz Steinmetz, Antonin Raffin, Matthias Nieuwenhuisen, João Silvério, Freek Stulp:
Guiding Reinforcement Learning with Shared Control Templates. ICRA 2023: 11531-11537 - [i13]Antonin Raffin, Olivier Sigaud, Jens Kober, Alin Albu-Schäffer, João Silvério, Freek Stulp:
A Simple Open-Loop Baseline for Reinforcement Learning Locomotion Tasks. CoRR abs/2310.05808 (2023) - [i12]Open X.-Embodiment Collaboration, Abhishek Padalkar, Acorn Pooley, Ajinkya Jain, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Raj, Anikait Singh, Anthony Brohan, Antonin Raffin, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Brian Ichter, Cewu Lu, Charles Xu, Chelsea Finn, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Chuer Pan, Chuyuan Fu, Coline Devin, Danny Driess, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Federico Ceola, Fei Xia, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Giulio Schiavi, Gregory Kahn, Hao Su, Haoshu Fang, Haochen Shi, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Igor Mordatch, Ilija Radosavovic, et al.:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models. CoRR abs/2310.08864 (2023) - 2022
- [j36]Florian Samuel Lay, Adrian Simon Bauer, Alin Albu-Schäffer, Freek Stulp, Daniel Leidner:
Unsupervised symbol emergence for supervised autonomy using multi-modal latent Dirichlet allocations. Adv. Robotics 36(1-2): 71-84 (2022) - [j35]Freek Stulp, Michael Spranger, Kim Listmann, Stéphane Doncieux, Moritz Tenorth, George Konidaris, Pieter Abbeel:
Innovation Paths for Machine Learning in Robotics [Industry Activities]. IEEE Robotics Autom. Mag. 29(4): 141-144 (2022) - [j34]Lorenzo Vianello, Waldez Gomes, Freek Stulp, Alexis Aubry, Pauline Maurice, Serena Ivaldi:
Latent Ergonomics Maps: Real-Time Visualization of Estimated Ergonomics of Human Movements. Sensors 22(11): 3981 (2022) - [c51]Samuel Bustamante, Gabriel Quere, Daniel Leidner, Jörn Vogel, Freek Stulp:
CATs: Task Planning for Shared Control of Assistive Robots with Variable Autonomy. ICRA 2022: 3775-3782 - [c50]Maximilian Mühlbauer, Franz Steinmetz, Freek Stulp, Thomas Hulin, Alin Albu-Schäffer:
Multi-Phase Multi-Modal Haptic Teleoperation. IROS 2022: 7734-7741 - [i11]Antonin Raffin, Daniel Seidel, Jens Kober, Alin Albu-Schäffer, João Silvério, Freek Stulp:
Learning to Exploit Elastic Actuators for Quadruped Locomotion. CoRR abs/2209.07171 (2022) - 2021
- [j33]Antonin Raffin, Bastian Deutschmann, Freek Stulp:
Fault-Tolerant Six-DoF Pose Estimation for Tendon-Driven Continuum Mechanisms. Frontiers Robotics AI 8: 619238 (2021) - [j32]Katharina Hagmann, Anja Hellings-Kuß, Julian Klodmann, Rebecca Richter, Freek Stulp, Daniel Leidner:
A Digital Twin Approach for Contextual Assistance for Surgeons During Surgical Robotics Training. Frontiers Robotics AI 8: 735566 (2021) - [j31]Samuel Bustamante, Gabriel Quere, Katharina Hagmann, Xuwei Wu, Peter Schmaus, Jörn Vogel, Freek Stulp, Daniel Leidner:
Toward Seamless Transitions Between Shared Control and Supervised Autonomy in Robotic Assistance. IEEE Robotics Autom. Lett. 6(2): 3833-3840 (2021) - [c49]Antonin Raffin, Jens Kober, Freek Stulp:
Smooth Exploration for Robotic Reinforcement Learning. CoRL 2021: 1634-1644 - [c48]Friedrich Lange, Martin Pfanne, Franz Steinmetz, Sebastian Wolf, Freek Stulp:
Friction Estimation for Tendon-Driven Robotic Hands. ICRA 2021: 6505-6511 - [c47]Gabriel Quere, Samuel Bustamante, Annette Hagengruber, Jörn Vogel, Franz Steinmetz, Freek Stulp:
Learning and Interactive Design of Shared Control Templates. IROS 2021: 1887-1894 - [c46]Philipp Matthias Schäfer, Franz Steinmetz, Stefan Schneyer, Timo Bachmann, Thomas Eiband, Florian Samuel Lay, Abhishek Padalkar, Christoph Sürig, Freek Stulp, Korbinian Nottensteiner:
Flexible Robotic Assembly Based on Ontological Representation of Tasks, Skills, and Resources. KR 2021: 702-706 - 2020
- [j30]Martin Pfanne, Maxime Chalon, Freek Stulp, Helge J. Ritter, Alin Albu-Schäffer:
Object-Level Impedance Control for Dexterous In-Hand Manipulation. IEEE Robotics Autom. Lett. 5(2): 2987-2994 (2020) - [j29]Ismael Rodríguez, Korbinian Nottensteiner, Daniel Leidner, Maximilian Durner, Freek Stulp, Alin Albu-Schäffer:
Pattern Recognition for Knowledge Transfer in Robotic Assembly Sequence Planning. IEEE Robotics Autom. Lett. 5(2): 3666-3673 (2020) - [j28]Karan Sharma, Claudio Castellini, Freek Stulp, Egon L. van den Broek:
Continuous, Real-Time Emotion Annotation: A Novel Joystick-Based Analysis Framework. IEEE Trans. Affect. Comput. 11(1): 78-84 (2020) - [j27]Clément Moulin-Frier, Jules Brochard, Freek Stulp, Pierre-Yves Oudeyer:
Emergent Jaw Predominance in Vocal Development Through Stochastic Optimization. IEEE Trans. Cogn. Dev. Syst. 12(3): 378-389 (2020) - [j26]Konstantinos I. Chatzilygeroudis, Vassilis Vassiliades, Freek Stulp, Sylvain Calinon, Jean-Baptiste Mouret:
A Survey on Policy Search Algorithms for Learning Robot Controllers in a Handful of Trials. IEEE Trans. Robotics 36(2): 328-347 (2020) - [c45]Abhishek Padalkar, Matthias Nieuwenhuisen, Dirk Schulz, Freek Stulp:
Closing the Gap: Combining Task Specification and Reinforcement Learning for Compliant Vegetable Cutting. ICINCO (Selected Papers) 2020: 187-206 - [c44]Gabriel Quere, Annette Hagengruber, Maged Iskandar, Samuel Bustamante, Daniel Leidner, Freek Stulp, Jörn Vogel:
Shared Control Templates for Assistive Robotics. ICRA 2020: 1956-1962 - [c43]Korbinian Nottensteiner, Freek Stulp, Alin Albu-Schäffer:
Robust, Locally Guided Peg-in-Hole using Impedance-Controlled Robots. ICRA 2020: 5771-5777 - [c42]Adrian Simon Bauer, Peter Schmaus, Freek Stulp, Daniel Leidner:
Probabilistic Effect Prediction through Semantic Augmentation and Physical Simulation. ICRA 2020: 9278-9284 - [i10]Antonin Raffin, Freek Stulp:
Generalized State-Dependent Exploration for Deep Reinforcement Learning in Robotics. CoRR abs/2005.05719 (2020) - [i9]Clément Moulin-Frier, Jules Brochard, Freek Stulp, Pierre-Yves Oudeyer:
Emergent Jaw Predominance in Vocal Development through Stochastic Optimization. CoRR abs/2010.07208 (2020)
2010 – 2019
- 2019
- [j25]Freek Stulp, Gennaro Raiola:
DmpBbo: A versatile Python/C++ library for Function Approximation, Dynamical Movement Primitives, and Black-Box Optimization. J. Open Source Softw. 4(37): 1225 (2019) - [j24]Olivier Sigaud, Freek Stulp:
Policy search in continuous action domains: An overview. Neural Networks 113: 28-40 (2019) - [j23]Ismael Rodríguez, Korbinian Nottensteiner, Daniel Leidner, Michael Kaßecker, Freek Stulp, Alin Albu-Schäffer:
Iteratively Refined Feasibility Checks in Robotic Assembly Sequence Planning. IEEE Robotics Autom. Lett. 4(2): 1416-1423 (2019) - [j22]Sebastian Georg Brunner, Andreas Dömel, Peter Lehner, Michael Beetz, Freek Stulp:
Autonomous Parallelization of Resource-Aware Robotic Task Nodes. IEEE Robotics Autom. Lett. 4(3): 2599-2606 (2019) - [j21]Franz Steinmetz, Verena Nitsch, Freek Stulp:
Intuitive Task-Level Programming by Demonstration Through Semantic Skill Recognition. IEEE Robotics Autom. Lett. 4(4): 3742-3749 (2019) - [j20]Karan Sharma, Marius Wagner, Claudio Castellini, Egon L. van den Broek, Freek Stulp, Friedhelm Schwenker:
A functional data analysis approach for continuous 2-D emotion annotations. Web Intell. 17(1): 41-52 (2019) - [c41]Bernhard M. Weber, Ribin Balachandran, Cornelia Riecke, Freek Stulp, Martin Stelzer:
Teleoperating Robots from the International Space Station: Microgravity Effects on Performance with Force Feedback. IROS 2019: 8144-8150 - [i8]Chenyang Zhao, Olivier Sigaud, Freek Stulp, Timothy M. Hospedales:
Investigating Generalisation in Continuous Deep Reinforcement Learning. CoRR abs/1902.07015 (2019) - [i7]Sebastian Riedel, Freek Stulp:
Comparing Semi-Parametric Model Learning Algorithms for Dynamic Model Estimation in Robotics. CoRR abs/1906.11909 (2019) - 2018
- [j19]Gennaro Raiola, Susana Sánchez Restrepo, Pauline Chevalier, Pedro Rodríguez-Ayerbe, Xavier Lamy, Sami Tliba, Freek Stulp:
Co-manipulation with a library of virtual guiding fixtures. Auton. Robots 42(5): 1037-1051 (2018) - [j18]Sebastian G. Brunner, Peter Lehner, Martin J. Schuster, Sebastian Riedel, Rico Belder, Daniel Leidner, Armin Wedler, Michael Beetz, Freek Stulp:
Design, Execution, and Postmortem Analysis of Prolonged Autonomous Robot Operations. IEEE Robotics Autom. Lett. 3(2): 1056-1063 (2018) - [j17]Martin Pfanne, Maxime Chalon, Freek Stulp, Alin Albu-Schäffer:
Fusing Joint Measurements and Visual Features for In-Hand Object Pose Estimation. IEEE Robotics Autom. Lett. 3(4): 3497-3504 (2018) - [c40]Antonio Gonzales Marin, Mohammad S. Shourijeh, Pavel E. Galibarov, Michael Damsgaard, Lars Fritzsch, Freek Stulp:
Optimizing Contextual Ergonomics Models in Human-Robot Interaction. IROS 2018: 1-9 - [i6]Olivier Sigaud, Freek Stulp:
Policy Search in Continuous Action Domains: an Overview. CoRR abs/1803.04706 (2018) - [i5]Konstantinos I. Chatzilygeroudis, Vassilis Vassiliades, Freek Stulp, Sylvain Calinon, Jean-Baptiste Mouret:
A survey on policy search algorithms for learning robot controllers in a handful of trials. CoRR abs/1807.02303 (2018) - 2017
- [j16]Baptiste Busch, Jonathan Grizou, Manuel Lopes, Freek Stulp:
Learning Legible Motion from Human-Robot Interactions. Int. J. Soc. Robotics 9(5): 765-779 (2017) - [c39]Chenyang Zhao, Timothy M. Hospedales, Freek Stulp, Olivier Sigaud:
Tensor Based Knowledge Transfer Across Skill Categories for Robot Control. IJCAI 2017: 3462-3468 - [i4]Freek Stulp, Pierre-Yves Oudeyer:
Proximodistal Exploration in Motor Learning as an Emergent Property of Optimization. CoRR abs/1712.05249 (2017) - 2015
- [j15]Freek Stulp, Olivier Sigaud:
Many regression algorithms, one unified model: A review. Neural Networks 69: 60-79 (2015) - [c38]Gennaro Raiola, Xavier Lamy, Freek Stulp:
Co-manipulation with multiple probabilistic virtual guides. IROS 2015: 7-13 - [c37]Freek Stulp, Jonathan Grizou, Baptiste Busch, Manuel Lopes:
Facilitating intention prediction for humans by optimizing robot motions. IROS 2015: 1249-1255 - [i3]Olivier Sigaud, Clément Masson, David Filliat, Freek Stulp:
Gated networks: an inventory. CoRR abs/1512.03201 (2015) - 2014
- [c36]Nicolas Torres Alberto, Michael N. Mistry, Freek Stulp:
Computed torque control with variable gains through Gaussian process regression. Humanoids 2014: 212-217 - [c35]Freek Stulp, Laura Herlant, Antoine Hoarau, Gennaro Raiola:
Simultaneous on-line Discovery and Improvement of Robotic Skill options. IROS 2014: 1408-1413 - [i2]Freek Stulp, Andreas Fedrizzi, Lorenz Mösenlechner, Michael Beetz:
Learning and Reasoning with Action-Related Places for Robust Mobile Manipulation. CoRR abs/1401.4599 (2014) - 2013
- [j14]Freek Stulp, Olivier Sigaud:
Robot Skill Learning: From Reinforcement Learning to Evolution Strategies. Paladyn J. Behav. Robotics 4(1): 49-61 (2013) - [j13]Peter Pastor, Mrinal Kalakrishnan, Franziska Meier, Freek Stulp, Jonas Buchli, Evangelos A. Theodorou, Stefan Schaal:
From dynamic movement primitives to associative skill memories. Robotics Auton. Syst. 61(4): 351-361 (2013) - [j12]Olivier Sigaud, Freek Stulp:
Adaptation de la matrice de covariance pour l'apprentissage par renforcement direct. Rev. d'Intelligence Artif. 27(2): 243-263 (2013) - 2012
- [j11]Freek Stulp, Andreas Fedrizzi, Lorenz Mösenlechner, Michael Beetz:
Learning and Reasoning with Action-Related Places for Robust Mobile Manipulation. J. Artif. Intell. Res. 43: 1-42 (2012) - [j10]Freek Stulp, Pierre-Yves Oudeyer:
Adaptive exploration through covariance matrix adaptation enables developmental motor learning. Paladyn J. Behav. Robotics 3(3): 128-135 (2012) - [j9]Freek Stulp, Jonas Buchli, Alice Ellmer, Michael N. Mistry, Evangelos A. Theodorou, Stefan Schaal:
Model-Free Reinforcement Learning of Impedance Control in Stochastic Environments. IEEE Trans. Auton. Ment. Dev. 4(4): 330-341 (2012) - [j8]Freek Stulp, Evangelos A. Theodorou, Stefan Schaal:
Reinforcement Learning With Sequences of Motion Primitives for Robust Manipulation. IEEE Trans. Robotics 28(6): 1360-1370 (2012) - [c34]Carmen Lopera, Hilario Tome, Freek Stulp:
Comparing motion generation and motion recall for everyday robotic tasks. Humanoids 2012: 146-152 - [c33]Freek Stulp, Pierre-Yves Oudeyer:
Emergent proximo-distal maturation through adaptive exploration. ICDL-EPIROB 2012: 1-6 - [c32]Freek Stulp, Olivier Sigaud:
Path Integral Policy Improvement with Covariance Matrix Adaptation. ICML 2012 - [c31]Freek Stulp:
Adaptive exploration for continual reinforcement learning. IROS 2012: 1631-1636 - [c30]Carmen Lopera, Hilario Tome, Adolfo Rodríguez Tsouroukdissian, Freek Stulp:
Comparing motion generation and motion recall for everyday mobile manipulation tasks. IROS 2012: 3045-3046 - [i1]Freek Stulp, Olivier Sigaud:
Path Integral Policy Improvement with Covariance Matrix Adaptation. CoRR abs/1206.4621 (2012) - 2011
- [j7]Jonas Buchli, Freek Stulp, Evangelos A. Theodorou, Stefan Schaal:
Learning variable impedance control. Int. J. Robotics Res. 30(7): 820-833 (2011) - [c29]Freek Stulp, Stefan Schaal:
Hierarchical reinforcement learning with movement primitives. Humanoids 2011: 231-238 - [c28]Freek Stulp, Jonas Buchli, Alice Ellmer, Michael N. Mistry, Evangelos A. Theodorou, Stefan Schaal:
Reinforcement learning of impedance control in stochastic force fields. ICDL-EPIROB 2011: 1-6 - [c27]Freek Stulp, Evangelos A. Theodorou, Jonas Buchli, Stefan Schaal:
Learning to grasp under uncertainty. ICRA 2011: 5703-5708 - [c26]Freek Stulp, Evangelos A. Theodorou, Mrinal Kalakrishnan, Peter Pastor, Ludovic Righetti, Stefan Schaal:
Learning motion primitive goals for robust manipulation. IROS 2011: 325-331 - [c25]Franziska Meier, Evangelos A. Theodorou, Freek Stulp, Stefan Schaal:
Movement segmentation using a primitive library. IROS 2011: 3407-3412 - 2010
- [j6]Freek Stulp, Hans Utz, Michael Isik, Gerd Mayer:
Implicit Coordination with Shared Belief: A Heterogeneous Robot Soccer Team Case Study. Adv. Robotics 24(7): 1017-1036 (2010) - [j5]Michael Beetz, Freek Stulp, Piotr Esden-Tempski, Andreas Fedrizzi, Ulrich Klank, Ingo Kresse, Alexis Maldonado, Federico Ruiz-Ugalde:
Generality and legibility in mobile manipulation. Auton. Robots 28(1): 21-44 (2010) - [c24]Freek Stulp, Jonas Buchli, Evangelos A. Theodorou, Stefan Schaal:
Reinforcement learning of full-body humanoid motor skills. Humanoids 2010: 405-410 - [c23]Jonas Buchli, Evangelos A. Theodorou, Freek Stulp, Stefan Schaal:
Variable Impedance Control - A Reinforcement Learning Approach. Robotics: Science and Systems 2010
2000 – 2009
- 2009
- [b1]Freek Stulp:
Tailoring Robot Actions to Task Contexts using Action Models (Zuschneiden von Roboteraktionen auf Aufgabenkontexte mittels Aktionsmodellen). Technical University of Munich, Germany, 2009 - [c22]Freek Stulp, Andreas Fedrizzi, Franziska Zacharias, Moritz Tenorth, Jan Bandouch, Michael Beetz:
Combining analysis, imitation, and experience-based learning to acquire a concept of reachability in robot mobile manipulation. Humanoids 2009: 161-167 - [c21]Freek Stulp, Erhan Öztop, Peter Pastor, Michael Beetz, Stefan Schaal:
Compact models of motor primitive variations for predictable reaching and obstacle avoidance. Humanoids 2009: 589-595 - [c20]Andreas Fedrizzi, Lorenz Mösenlechner, Freek Stulp, Michael Beetz:
Transformational planning for mobile manipulation based on action-related places. ICAR 2009: 1-8 - [c19]Freek Stulp, Andreas Fedrizzi, Michael Beetz:
Action-related place-based mobile manipulation. IROS 2009: 3115-3120 - 2008
- [j4]Freek Stulp, Michael Beetz:
Refining the Execution of Abstract Actions with Learned Action Models. J. Artif. Intell. Res. 32: 487-523 (2008) - [j3]Matthias Wimmer, Freek Stulp, Sylvia Pietzsch, Bernd Radig:
Learning Local Objective Functions for Robust Face Model Fitting. IEEE Trans. Pattern Anal. Mach. Intell. 30(8): 1357-1370 (2008) - [j2]Freek Stulp, Michael Beetz:
Combining declarative, procedural, and predictive knowledge to generate, execute, and optimize robot plans. Robotics Auton. Syst. 56(11): 967-979 (2008) - [c18]Matthias Wimmer, Christoph Mayer, Freek Stulp, Bernd Radig:
Face model fitting based on machine learning from multi-band images of facial components. CVPR Workshops 2008: 1-6 - [c17]Christoph Mayer, Matthias Wimmer, Freek Stulp, Zahid Riaz, Anton Roth, Martin Eggers, Bernd Radig:
A real time system for model-based interpretation of the dynamics of facial expressions. FG 2008: 1-2 - [c16]Matthias Wimmer, Shinya Fujie, Freek Stulp, Tetsunori Kobayashi, Bernd Radig:
An ASM fitting method based on machine learning that provides a robust parameter initialization for AAM fitting. FG 2008: 1-6 - [c15]Michael Beetz, Freek Stulp, Bernd Radig, Jan Bandouch, Nico Blodow, Mihai Emanuel Dolha, Andreas Fedrizzi, Dominik Jain, Ulrich Klank, Ingo Kresse, Alexis Maldonado, Zoltan-Csaba Marton, Lorenz Mösenlechner, Federico Ruiz-Ugalde, Radu Bogdan Rusu, Moritz Tenorth:
The Assistive Kitchen - A demonstration scenario for cognitive technical systems. RO-MAN 2008: 1-8 - [c14]Sylvia Pietzsch, Matthias Wimmer, Freek Stulp, Bernd Radig:
Face Model Fitting with Generic, Group-Specific, and Person-Specific Objective Functions. VISAPP (2) 2008: 5-12 - 2007
- [c13]Matthias Wimmer, Sylvia Pietzsch, Freek Stulp, Bernd Radig:
Learning Robust Objective Functions with Application to Face Model Fitting. DAGM-Symposium 2007: 486-496 - [c12]Matthias Wimmer, Freek Stulp, Bernd Radig:
Enabling Users to Guide the Design of Robust Model Fitting Algorithms. ICCV 2007: 1-6 - [c11]Freek Stulp, Wolfram Koska, Alexis Maldonado, Michael Beetz:
Seamless Execution of Action Sequences. ICRA 2007: 3687-3692 - [c10]Matthias Wimmer, Christoph Mayer, Freek Stulp, Bernd Radig:
Estimating Natural Activity by Fitting 3D Models via Learned Objective Functions. VMV 2007: 233-242 - 2006
- [c9]Freek Stulp, Michael Beetz:
Action awareness: enabling agents to optimize, transform, and coordinate plans. AAMAS 2006: 482-484 - [c8]Matthias Wimmer, Freek Stulp, Stephan Tschechne, Bernd Radig:
Learning Robust Objective Functions for Model Fitting in Image Understanding Applications. BMVC 2006: 1159-1168 - [c7]Freek Stulp, Michael Isik, Michael Beetz:
Implicit Coordination in Robotic Teams using Learned Prediction Models. ICRA 2006: 1330-1335 - [c6]Michael Isik, Freek Stulp, Gerd Mayer, Hans Utz:
Coordination Without Negotiation in Teams of Heterogeneous Robots. RoboCup 2006: 355-362 - 2005
- [c5]Freek Stulp, Michael Beetz:
Optimized Execution of Action Chains Using Learned Performance Models of Abstract Actions. IJCAI 2005: 1272-1280 - 2004
- [j1]Michael Beetz, Thorsten Schmitt, Robert Hanek, Sebastian Buck, Freek Stulp, Derik Schröter, Bernd Radig:
The AGILO Robot Soccer Team-Experience-Based Learning and Probabilistic Reasoning in Autonomous Robot Control. Auton. Robots 17(1): 55-77 (2004) - [c4]Hans Utz, Freek Stulp, Arndt Mühlenfeld:
Sharing Belief in Teams of Heterogeneous Robots. RoboCup 2004: 508-515 - 2003
- [c3]Michael Beetz, Freek Stulp, Alexandra Kirsch, Armin Müller, Sebastian Buck:
Autonomous Robot Controllers Capable of Acquiring Repertoires of Complex Skills. RoboCup 2003: 592-599 - 2002
- [c2]Sebastian Buck, Freek Stulp, Michael Beetz, Thorsten Schmitt:
Machine control using radial basis value functions and inverse state projection. ICARCV 2002: 1670-1675 - 2001
- [c1]Freek Stulp, Fabio Dell'Acqua, Robert B. Fisher:
Reconstruction of Surfaces behind Occlusions in Range Images. 3DIM 2001: 232-239
Coauthor Index
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