Freek Stulp

According to our database, Freek Stulp authored at least 110 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Feasibility Checking and Constraint Refinement for Shared Control in Assistive Robotics.

Samuel Bustamante, Ismael Rodríguez, Gabriel Quere, Peter Lehner, Maged Iskandar, Daniel Leidner, Andreas Dömel, Alin Albu-Schäffer, Jörn Vogel, Freek Stulp

IEEE Robotics Autom. Lett., September, 2024

A Tree-Based World Model for Reducing System Complexity in Autonomous Mobile Manipulation.

Ryo Sakagami, Andreas Dömel, Peter Lehner, Sebastian Riedel, Sebastian G. Brunner, Alin Albu-Schäffer, Freek Stulp

IEEE Robotics Autom. Lett., July, 2024

Guiding real-world reinforcement learning for in-contact manipulation tasks with Shared Control Templates.

Abhishek Padalkar, Gabriel Quere, Antonin Raffin, João Silvério, Freek Stulp

Auton. Robots, July, 2024

A Probabilistic Approach to Multi-Modal Adaptive Virtual Fixtures.

Maximilian Mühlbauer, Thomas Hulin, Bernhard M. Weber, Sylvain Calinon, Freek Stulp, Alin Albu-Schäffer, João Silvério

IEEE Robotics Autom. Lett., June, 2024

Interactive incremental learning of generalizable skills with local trajectory modulation.

Markus Knauer, Alin Albu-Schäffer, Freek Stulp, João Silvério

CoRR, 2024

AI-enabled Cyber-Physical In-Orbit Factory - AI approaches based on digital twin technology for robotic small satellite production.

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

CoRR, 2024

An Open-Loop Baseline for Reinforcement Learning Locomotion Tasks.

Antonin Raffin, Olivier Sigaud, Jens Kober, Alin Albu-Schäffer, João Silvério, Freek Stulp

Proceedings of the 1st Reinforcement Learning Conference, 2024

Fitting Parameters of Linear Dynamical Systems to Regularize Forcing Terms in Dynamical Movement Primitives.

Freek Stulp, Adrià Colomé, Carme Torras

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

A probabilistic approach for learning and adapting shared control skills with the human in the loop.

Gabriel Quere, Freek Stulp, David Filliat, João Silvério

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Unknown Object Grasping for Assistive Robotics.

Elle Miller, Maximilian Durner, Matthias Humt, Gabriel Quere, Wout Boerdijk, Ashok M. Sundaram, Freek Stulp, Jörn Vogel

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Robotic world models - conceptualization, review, and engineering best practices.

Ryo Sakagami, Florian Samuel Lay, Andreas Dömel, Martin J. Schuster, Alin Albu-Schäffer, Freek Stulp

Frontiers Robotics AI, October, 2023

Open X-Embodiment: Robotic Learning Datasets and RT-X Models.

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.

CoRR, 2023

A Simple Open-Loop Baseline for Reinforcement Learning Locomotion Tasks.

Antonin Raffin, Olivier Sigaud, Jens Kober, Alin Albu-Schäffer, João Silvério, Freek Stulp

CoRR, 2023

ROSMC: A High-Level Mission Operation Framework for Heterogeneous Robotic Teams.

Ryo Sakagami, Sebastian G. Brunner, Andreas Dömel, Armin Wedler, Freek Stulp

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Guiding Reinforcement Learning with Shared Control Templates.

Abhishek Padalkar, Gabriel Quere, Franz Steinmetz, Antonin Raffin, Matthias Nieuwenhuisen, João Silvério, Freek Stulp

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Latent Ergonomics Maps: Real-Time Visualization of Estimated Ergonomics of Human Movements.

Lorenzo Vianello, Waldez Gomes, Freek Stulp, Alexis Aubry, Pauline Maurice, Serena Ivaldi

Sensors, 2022

Innovation Paths for Machine Learning in Robotics [Industry Activities].

Freek Stulp, Michael Spranger, Kim Listmann, Stéphane Doncieux, Moritz Tenorth, George Konidaris, Pieter Abbeel

IEEE Robotics Autom. Mag., 2022

Learning to Exploit Elastic Actuators for Quadruped Locomotion.

Antonin Raffin, Daniel Seidel, Jens Kober, Alin Albu-Schäffer, João Silvério, Freek Stulp

CoRR, 2022

Unsupervised symbol emergence for supervised autonomy using multi-modal latent Dirichlet allocations.

Florian Samuel Lay, Adrian Simon Bauer, Alin Albu-Schäffer, Freek Stulp, Daniel Leidner

Adv. Robotics, 2022

Multi-Phase Multi-Modal Haptic Teleoperation.

Maximilian Mühlbauer, Franz Steinmetz, Freek Stulp, Thomas Hulin, Alin Albu-Schäffer

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

CATs: Task Planning for Shared Control of Assistive Robots with Variable Autonomy.

Samuel Bustamante, Gabriel Quere, Daniel Leidner, Jörn Vogel, Freek Stulp

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Toward Seamless Transitions Between Shared Control and Supervised Autonomy in Robotic Assistance.

Samuel Bustamante, Gabriel Quere, Katharina Hagmann, Xuwei Wu, Peter Schmaus, Jörn Vogel, Freek Stulp, Daniel Leidner

IEEE Robotics Autom. Lett., 2021

Fault-Tolerant Six-DoF Pose Estimation for Tendon-Driven Continuum Mechanisms.

Antonin Raffin, Bastian Deutschmann, Freek Stulp

Frontiers Robotics AI, 2021

A Digital Twin Approach for Contextual Assistance for Surgeons During Surgical Robotics Training.

Katharina Hagmann, Anja Hellings-Kuß, Julian Klodmann, Rebecca Richter, Freek Stulp, Daniel Leidner

Frontiers Robotics AI, 2021

Flexible Robotic Assembly Based on Ontological Representation of Tasks, Skills, and Resources.

Philipp Matthias Schäfer, Franz Steinmetz, Stefan Schneyer, Timo Bachmann, Thomas Eiband, Florian Samuel Lay, Abhishek Padalkar, Christoph Sürig, Freek Stulp, Korbinian Nottensteiner

Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning, 2021

Learning and Interactive Design of Shared Control Templates.

Gabriel Quere, Samuel Bustamante, Annette Hagengruber, Jörn Vogel, Franz Steinmetz, Freek Stulp

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Friction Estimation for Tendon-Driven Robotic Hands.

Friedrich Lange, Martin Pfanne, Franz Steinmetz, Sebastian Wolf, Freek Stulp

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Smooth Exploration for Robotic Reinforcement Learning.

Antonin Raffin, Jens Kober, Freek Stulp

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

A Survey on Policy Search Algorithms for Learning Robot Controllers in a Handful of Trials.

Konstantinos I. Chatzilygeroudis, Vassilis Vassiliades, Freek Stulp, Sylvain Calinon, Jean-Baptiste Mouret

IEEE Trans. Robotics, 2020

Emergent Jaw Predominance in Vocal Development Through Stochastic Optimization.

Clément Moulin-Frier, Jules Brochard, Freek Stulp, Pierre-Yves Oudeyer

IEEE Trans. Cogn. Dev. Syst., 2020

Continuous, Real-Time Emotion Annotation: A Novel Joystick-Based Analysis Framework.

Karan Sharma, Claudio Castellini, Freek Stulp, Egon L. van den Broek

IEEE Trans. Affect. Comput., 2020

Pattern Recognition for Knowledge Transfer in Robotic Assembly Sequence Planning.

Ismael Rodríguez, Korbinian Nottensteiner, Daniel Leidner, Maximilian Durner, Freek Stulp, Alin Albu-Schäffer

IEEE Robotics Autom. Lett., 2020

Object-Level Impedance Control for Dexterous In-Hand Manipulation.

Martin Pfanne, Maxime Chalon, Freek Stulp, Helge J. Ritter, Alin Albu-Schäffer

IEEE Robotics Autom. Lett., 2020

Generalized State-Dependent Exploration for Deep Reinforcement Learning in Robotics.

Antonin Raffin, Freek Stulp

CoRR, 2020

Shared Control Templates for Assistive Robotics.

Gabriel Quere, Annette Hagengruber, Maged Iskandar, Samuel Bustamante, Daniel Leidner, Freek Stulp, Jörn Vogel

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Robust, Locally Guided Peg-in-Hole using Impedance-Controlled Robots.

Korbinian Nottensteiner, Freek Stulp, Alin Albu-Schäffer

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Probabilistic Effect Prediction through Semantic Augmentation and Physical Simulation.

Adrian Simon Bauer, Peter Schmaus, Freek Stulp, Daniel Leidner

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Closing the Gap: Combining Task Specification and Reinforcement Learning for Compliant Vegetable Cutting.

Abhishek Padalkar, Matthias Nieuwenhuisen, Dirk Schulz, Freek Stulp

Proceedings of the Informatics in Control, Automation and Robotics, 2020

2019

A functional data analysis approach for continuous 2-D emotion annotations.

Karan Sharma, Marius Wagner, Claudio Castellini, Egon L. van den Broek, Freek Stulp, Friedhelm Schwenker

Web Intell., 2019

Intuitive Task-Level Programming by Demonstration Through Semantic Skill Recognition.

Franz Steinmetz, Verena Nitsch, Freek Stulp

IEEE Robotics Autom. Lett., 2019

Iteratively Refined Feasibility Checks in Robotic Assembly Sequence Planning.

Ismael Rodríguez, Korbinian Nottensteiner, Daniel Leidner, Michael Kaßecker, Freek Stulp, Alin Albu-Schäffer

IEEE Robotics Autom. Lett., 2019

Autonomous Parallelization of Resource-Aware Robotic Task Nodes.

Sebastian Georg Brunner, Andreas Dömel, Peter Lehner, Michael Beetz, Freek Stulp

IEEE Robotics Autom. Lett., 2019

Policy search in continuous action domains: An overview.

Olivier Sigaud, Freek Stulp

Neural Networks, 2019

DmpBbo: A versatile Python/C++ library for Function Approximation, Dynamical Movement Primitives, and Black-Box Optimization.

Freek Stulp, Gennaro Raiola

J. Open Source Softw., 2019

Comparing Semi-Parametric Model Learning Algorithms for Dynamic Model Estimation in Robotics.

Sebastian Riedel, Freek Stulp

CoRR, 2019

Investigating Generalisation in Continuous Deep Reinforcement Learning.

Chenyang Zhao, Olivier Sigaud, Freek Stulp, Timothy M. Hospedales

CoRR, 2019

Teleoperating Robots from the International Space Station: Microgravity Effects on Performance with Force Feedback.

Bernhard M. Weber, Ribin Balachandran, Cornelia Riecke, Freek Stulp, Martin Stelzer

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

Fusing Joint Measurements and Visual Features for In-Hand Object Pose Estimation.

Martin Pfanne, Maxime Chalon, Freek Stulp, Alin Albu-Schäffer

IEEE Robotics Autom. Lett., 2018

Design, Execution, and Postmortem Analysis of Prolonged Autonomous Robot Operations.

Sebastian G. Brunner, Peter Lehner, Martin J. Schuster, Sebastian Riedel, Rico Belder, Daniel Leidner, Armin Wedler, Michael Beetz, Freek Stulp

IEEE Robotics Autom. Lett., 2018

Co-manipulation with a library of virtual guiding fixtures.

Gennaro Raiola, Susana Sánchez Restrepo, Pauline Chevalier, Pedro Rodríguez-Ayerbe, Xavier Lamy, Sami Tliba, Freek Stulp

Auton. Robots, 2018

Optimizing Contextual Ergonomics Models in Human-Robot Interaction.

Antonio Gonzales Marin, Mohammad S. Shourijeh, Pavel E. Galibarov, Michael Damsgaard, Lars Fritzsch, Freek Stulp

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017

Learning Legible Motion from Human-Robot Interactions.

Baptiste Busch, Jonathan Grizou, Manuel Lopes, Freek Stulp

Int. J. Soc. Robotics, 2017

Proximodistal Exploration in Motor Learning as an Emergent Property of Optimization.

Freek Stulp, Pierre-Yves Oudeyer

CoRR, 2017

Tensor Based Knowledge Transfer Across Skill Categories for Robot Control.

Chenyang Zhao, Timothy M. Hospedales, Freek Stulp, Olivier Sigaud

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2015

Many regression algorithms, one unified model: A review.

Freek Stulp, Olivier Sigaud

Neural Networks, 2015

Gated networks: an inventory.

Olivier Sigaud, Clément Masson, David Filliat, Freek Stulp

CoRR, 2015

Facilitating intention prediction for humans by optimizing robot motions.

Freek Stulp, Jonathan Grizou, Baptiste Busch, Manuel Lopes

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Co-manipulation with multiple probabilistic virtual guides.

Gennaro Raiola, Xavier Lamy, Freek Stulp

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

2014

Simultaneous on-line Discovery and Improvement of Robotic Skill options.

Freek Stulp, Laura Herlant, Antoine Hoarau, Gennaro Raiola

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Computed torque control with variable gains through Gaussian process regression.

Nicolas Torres Alberto, Michael N. Mistry, Freek Stulp

Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

2013

Adaptation de la matrice de covariance pour l'apprentissage par renforcement direct.

Olivier Sigaud, Freek Stulp

Rev. d'Intelligence Artif., 2013

From dynamic movement primitives to associative skill memories.

Peter Pastor, Mrinal Kalakrishnan, Franziska Meier, Freek Stulp, Jonas Buchli, Evangelos A. Theodorou, Stefan Schaal

Robotics Auton. Syst., 2013

Robot Skill Learning: From Reinforcement Learning to Evolution Strategies.

Freek Stulp, Olivier Sigaud

Paladyn J. Behav. Robotics, 2013

2012

Reinforcement Learning With Sequences of Motion Primitives for Robust Manipulation.

Freek Stulp, Evangelos A. Theodorou, Stefan Schaal

IEEE Trans. Robotics, 2012

Model-Free Reinforcement Learning of Impedance Control in Stochastic Environments.

Freek Stulp, Jonas Buchli, Alice Ellmer, Michael N. Mistry, Evangelos A. Theodorou, Stefan Schaal

IEEE Trans. Auton. Ment. Dev., 2012

Adaptive exploration through covariance matrix adaptation enables developmental motor learning.

Freek Stulp, Pierre-Yves Oudeyer

Paladyn J. Behav. Robotics, 2012

Learning and Reasoning with Action-Related Places for Robust Mobile Manipulation.

Freek Stulp, Andreas Fedrizzi, Lorenz Mösenlechner, Michael Beetz

J. Artif. Intell. Res., 2012

Adaptive exploration for continual reinforcement learning.

Freek Stulp

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Comparing motion generation and motion recall for everyday mobile manipulation tasks.

Carmen Lopera, Hilario Tome, Adolfo Rodríguez Tsouroukdissian, Freek Stulp

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Path Integral Policy Improvement with Covariance Matrix Adaptation.

Freek Stulp, Olivier Sigaud

Proceedings of the 29th International Conference on Machine Learning, 2012

Emergent proximo-distal maturation through adaptive exploration.

Freek Stulp, Pierre-Yves Oudeyer

Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

Comparing motion generation and motion recall for everyday robotic tasks.

Carmen Lopera, Hilario Tome, Freek Stulp

Proceedings of the 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012), Osaka, Japan, November 29, 2012

2011

Learning variable impedance control.

Jonas Buchli, Freek Stulp, Evangelos A. Theodorou, Stefan Schaal

Int. J. Robotics Res., 2011

Learning motion primitive goals for robust manipulation.

Freek Stulp, Evangelos A. Theodorou, Mrinal Kalakrishnan, Peter Pastor, Ludovic Righetti, Stefan Schaal

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Movement segmentation using a primitive library.

Franziska Meier, Evangelos A. Theodorou, Freek Stulp, Stefan Schaal

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Learning to grasp under uncertainty.

Freek Stulp, Evangelos A. Theodorou, Jonas Buchli, Stefan Schaal

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Reinforcement learning of impedance control in stochastic force fields.

Freek Stulp, Jonas Buchli, Alice Ellmer, Michael N. Mistry, Evangelos A. Theodorou, Stefan Schaal

Proceedings of the 1st International Conference on Development and Learning and on Epigenetic Robotics, 2011

Hierarchical reinforcement learning with movement primitives.

Freek Stulp, Stefan Schaal

Proceedings of the 11th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2011), 2011

2010

Generality and legibility in mobile manipulation.

Michael Beetz, Freek Stulp, Piotr Esden-Tempski, Andreas Fedrizzi, Ulrich Klank, Ingo Kresse, Alexis Maldonado, Federico Ruiz-Ugalde

Auton. Robots, 2010

Implicit Coordination with Shared Belief: A Heterogeneous Robot Soccer Team Case Study.

Freek Stulp, Hans Utz, Michael Isik, Gerd Mayer

Adv. Robotics, 2010

Variable Impedance Control - A Reinforcement Learning Approach.

Jonas Buchli, Evangelos A. Theodorou, Freek Stulp, Stefan Schaal

Proceedings of the Robotics: Science and Systems VI, 2010

Reinforcement learning of full-body humanoid motor skills.

Freek Stulp, Jonas Buchli, Evangelos A. Theodorou, Stefan Schaal

Proceedings of the 10th IEEE-RAS International Conference on Humanoid Robots, 2010

2009

Tailoring Robot Actions to Task Contexts using Action Models (Zuschneiden von Roboteraktionen auf Aufgabenkontexte mittels Aktionsmodellen)

Freek Stulp

PhD thesis, 2009

Action-related place-based mobile manipulation.

Freek Stulp, Andreas Fedrizzi, Michael Beetz

Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

Transformational planning for mobile manipulation based on action-related places.

Andreas Fedrizzi, Lorenz Mösenlechner, Freek Stulp, Michael Beetz

Proceedings of the 14th International Conference on Advanced Robotics, 2009

Compact models of motor primitive variations for predictable reaching and obstacle avoidance.

Freek Stulp, Erhan Öztop, Peter Pastor, Michael Beetz, Stefan Schaal

Proceedings of the 9th IEEE-RAS International Conference on Humanoid Robots, 2009

Combining analysis, imitation, and experience-based learning to acquire a concept of reachability in robot mobile manipulation.

Freek Stulp, Andreas Fedrizzi, Franziska Zacharias, Moritz Tenorth, Jan Bandouch, Michael Beetz

Proceedings of the 9th IEEE-RAS International Conference on Humanoid Robots, 2009

2008

Combining declarative, procedural, and predictive knowledge to generate, execute, and optimize robot plans.

Freek Stulp, Michael Beetz

Robotics Auton. Syst., 2008

Learning Local Objective Functions for Robust Face Model Fitting.

Matthias Wimmer, Freek Stulp, Sylvia Pietzsch, Bernd Radig

IEEE Trans. Pattern Anal. Mach. Intell., 2008

Refining the Execution of Abstract Actions with Learned Action Models.

Freek Stulp, Michael Beetz

J. Artif. Intell. Res., 2008

Face Model Fitting with Generic, Group-Specific, and Person-Specific Objective Functions.

Sylvia Pietzsch, Matthias Wimmer, Freek Stulp, Bernd Radig

Proceedings of the VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008, 2008

The Assistive Kitchen - A demonstration scenario for cognitive technical systems.

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

Proceedings of the 17th IEEE International Symposium on Robot and Human Interactive Communication, 2008

An ASM fitting method based on machine learning that provides a robust parameter initialization for AAM fitting.

Matthias Wimmer, Shinya Fujie, Freek Stulp, Tetsunori Kobayashi, Bernd Radig

Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2008), 2008

A real time system for model-based interpretation of the dynamics of facial expressions.

Christoph Mayer, Matthias Wimmer, Freek Stulp, Zahid Riaz, Anton Roth, Martin Eggers, Bernd Radig

Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2008), 2008

Face model fitting based on machine learning from multi-band images of facial components.

Matthias Wimmer, Christoph Mayer, Freek Stulp, Bernd Radig

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

2007

Estimating Natural Activity by Fitting 3D Models via Learned Objective Functions.

Matthias Wimmer, Christoph Mayer, Freek Stulp, Bernd Radig

Proceedings of the 12th International Fall Workshop on Vision, Modeling, and Visualization, 2007

Seamless Execution of Action Sequences.

Freek Stulp, Wolfram Koska, Alexis Maldonado, Michael Beetz

Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

Enabling Users to Guide the Design of Robust Model Fitting Algorithms.

Matthias Wimmer, Freek Stulp, Bernd Radig

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Learning Robust Objective Functions with Application to Face Model Fitting.

Matthias Wimmer, Sylvia Pietzsch, Freek Stulp, Bernd Radig

Proceedings of the Pattern Recognition, 2007

2006

Coordination Without Negotiation in Teams of Heterogeneous Robots.

Michael Isik, Freek Stulp, Gerd Mayer, Hans Utz

Proceedings of the RoboCup 2006: Robot Soccer World Cup X, 2006

Implicit Coordination in Robotic Teams using Learned Prediction Models.

Freek Stulp, Michael Isik, Michael Beetz

Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006

Learning Robust Objective Functions for Model Fitting in Image Understanding Applications.

Matthias Wimmer, Freek Stulp, Stephan Tschechne, Bernd Radig

Proceedings of the British Machine Vision Conference 2006, 2006

Action awareness: enabling agents to optimize, transform, and coordinate plans.

Freek Stulp, Michael Beetz

Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), 2006

2005

Optimized Execution of Action Chains Using Learned Performance Models of Abstract Actions.

Freek Stulp, Michael Beetz

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

2004

The AGILO Robot Soccer Team-Experience-Based Learning and Probabilistic Reasoning in Autonomous Robot Control.

Michael Beetz, Thorsten Schmitt, Robert Hanek, Sebastian Buck, Freek Stulp, Derik Schröter, Bernd Radig

Auton. Robots, 2004

Sharing Belief in Teams of Heterogeneous Robots.

Hans Utz, Freek Stulp, Arndt Mühlenfeld

Proceedings of the RoboCup 2004: Robot Soccer World Cup VIII, 2004

2003

Autonomous Robot Controllers Capable of Acquiring Repertoires of Complex Skills.

Michael Beetz, Freek Stulp, Alexandra Kirsch, Armin Müller, Sebastian Buck

Proceedings of the RoboCup 2003: Robot Soccer World Cup VII, 2003

2002

Machine control using radial basis value functions and inverse state projection.

Sebastian Buck, Freek Stulp, Michael Beetz, Thorsten Schmitt

Proceedings of the Seventh International Conference on Control, 2002

2001

Reconstruction of Surfaces behind Occlusions in Range Images.

Freek Stulp, Fabio Dell'Acqua, Robert B. Fisher

Proceedings of the 3rd International Conference on 3D Digital Imaging and Modeling (3DIM 2001), 28 May, 2001