Freek Stulp

发表

Implicit coordination in robotic teams using learned prediction models

Michael Beetz, Michael Isik, Freek Stulp, 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

Co-manipulation with multiple probabilistic virtual guides

Freek Stulp, Gennaro Raiola, Xavier Lamy, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Seamless Execution of Action Sequences

Michael Beetz, Alexis Maldonado, Freek Stulp, 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

Parallel guiding virtual fixtures: control and stability

Freek Stulp, Gennaro Raiola, Xavier Lamy, 2015, 2015 IEEE International Symposium on Intelligent Control (ISIC).

Probabilistic Effect Prediction through Semantic Augmentation and Physical Simulation

Daniel Leidner, Freek Stulp, Adrian S. Bauer, 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Tailoring Robot Actions to Task Contexts using Action Models

Freek Stulp, F. Stulp, 2007 .

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

Alin Albu-Schäffer, Freek Stulp, Korbinian Nottensteiner, 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).

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

Bernd Radig, Matthias Wimmer, Freek Stulp, 2008, VISAPP.

Generality and legibility in mobile manipulation

Michael Beetz, Ulrich Klank, Federico Ruiz-Ugalde, 2010, Auton. Robots.

Learning Legible Motion from Human–Robot Interactions

Manuel Lopes, Jonathan Grizou, Freek Stulp, 2017, International Journal of Social Robotics.

Emergent maturation from stochastic optimization in vocal development

Pierre-Yves Oudeyer, Clément Moulin-Frier, Freek Stulp, 2014 .

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

Michael Beetz, Freek Stulp, F. Stulp, 2008, Robotics Auton. Syst..

Robot Skill Learning: From Reinforcement Learning to Evolution Strategies

Olivier Sigaud, Freek Stulp, F. Stulp, 2013, Paladyn J. Behav. Robotics.

Model-Free Reinforcement Learning of Impedance Control in Stochastic Environments

Stefan Schaal, Evangelos Theodorou, Michael N. Mistry, 2012, IEEE Transactions on Autonomous Mental Development.

Simultaneous on-line Discovery and Improvement of Robotic Skill options

Freek Stulp, Gennaro Raiola, Laura Herlant, 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Learning Robust Objective Functions for Model Fitting in Image Understanding Applications

Stephan Tschechne, Bernd Radig, Matthias Wimmer, 2006, BMVC.

Learning Robust Objective Functions with Application to Face Model Fitting

Bernd Radig, Matthias Wimmer, Freek Stulp, 2007, DAGM-Symposium.

Co-manipulation with a library of virtual guiding fixtures

Pedro Rodríguez-Ayerbe, Freek Stulp, Gennaro Raiola, 2018, Auton. Robots.

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

Hans Utz, Michael Isik, Freek Stulp, 2010, Adv. Robotics.

Gated networks: an inventory pdf

Olivier Sigaud, David Filliat, Freek Stulp, 2015, ArXiv.

Variable Impedance Control - A Reinforcement Learning Approach

Stefan Schaal, Evangelos Theodorou, Jonas Buchli, 2010, Robotics: Science and Systems.

Compact models of human reaching motions for robotic control in everyday manipulation tasks

Michael Beetz, Alexis Maldonado, Freek Stulp, 2009, 2009 IEEE 8th International Conference on Development and Learning.

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

Friedhelm Schwenker, Egon L. van den Broek, Claudio Castellini, 2019, Web Intell..

Tailoring Action Parameterizations to Their Task Contexts

Michael Beetz, Freek Stulp, F. Stulp, 2005 .

Michael Beetz, Freek Stulp, Andreas Fedrizzi, 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

From dynamic movement primitives to associative skill memories

Stefan Schaal, Franziska Meier, Evangelos Theodorou, 2013, Robotics Auton. Syst..

Sharing Belief in Teams of Heterogeneous Robots

Hans Utz, Arndt Mühlenfeld, Freek Stulp, 2004, RoboCup.

Interpreting the Dynamics of Facial Expressions in Real Time Using Model-based Techniques

Zahid Riaz, Matthias Wimmer, Freek Stulp, 2008 .

Pattern Recognition for Knowledge Transfer in Robotic Assembly Sequence Planning

Daniel Leidner, Alin Albu-Schäffer, Maximilian Durner, 2020, IEEE Robotics and Automation Letters.

Unsupervised Learning of State Representations for Multiple Tasks

Oliver Brock, Freek Stulp, Rico Jonschkowski, 2017 .

New Results - Robotic And Computational Models Of Human Development

Michael A. Arbib, Pierre-Yves Oudeyer, Thomas Cederborg, 2013 .

Proximodistal Exploration in Motor Learning as an Emergent Property of Optimization

Pierre-Yves Oudeyer, Freek Stulp, F. Stulp, 2017, Developmental science.

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

Michael Beetz, Freek Stulp, 2006, AAMAS '06.

Learning and performing place-based mobile manipulation

Michael Beetz, Freek Stulp, Andreas Fedrizzi, 2009, 2009 IEEE 8th International Conference on Development and Learning.

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

Freek Stulp, Antonin Raffin, F. Stulp, 2020, ArXiv.

Optimizing Contextual Ergonomics Models in Human-Robot Interaction

Michael Damsgaard, Freek Stulp, Mohammad S. Shourijeh, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Learning variable impedance control

Stefan Schaal, Evangelos Theodorou, Jonas Buchli, 2011, Int. J. Robotics Res..

Transformational planning for mobile manipulation based on action-related places

Michael Beetz, Lorenz Mösenlechner, Freek Stulp, 2009, 2009 International Conference on Advanced Robotics.

Coordination Without Negotiation in Teams of Heterogeneous Robots

Hans Utz, Michael Isik, Freek Stulp, 2006, RoboCup.

Object-Level Impedance Control for Dexterous In-Hand Manipulation

Alin Albu-Schäffer, Maxime Chalon, Freek Stulp, 2020, IEEE Robotics and Automation Letters.

Optimized Execution of Action Chains through Subgoal Refinement

Michael Beetz, Freek Stulp, 2005 .

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

Freek Stulp, Sebastian Riedel, 2019, ArXiv.

Combining Declarative, Procedural and Predictive Knowledge to Generate and Execute Robot Plans Efficiently and Robustly

Michael Beetz, Freek Stulp, F. Stulp, 2008 .

New Software and Platforms - Software Platforms

Olivier Mangin, Pierre Rouanet, Matthieu Lapeyre, 2014 .

Investigating Generalisation in Continuous Deep Reinforcement Learning pdf

Olivier Sigaud, Timothy M. Hospedales, Freek Stulp, 2019, ArXiv.

Hierarchical reinforcement learning with movement primitives

Stefan Schaal, Freek Stulp, S. Schaal, 2011, 2011 11th IEEE-RAS International Conference on Humanoid Robots.

Adaptive exploration for continual reinforcement learning

Freek Stulp, 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

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

Alin Albu-Schäffer, Maxime Chalon, Freek Stulp, 2018, IEEE Robotics and Automation Letters.

Tensor Based Knowledge Transfer Across Skill Categories for Robot Control

Olivier Sigaud, Timothy M. Hospedales, Freek Stulp, 2017, IJCAI.

Intuitive Task-Level Programming by Demonstration Through Semantic Skill Recognition

Freek Stulp, Verena Nitsch, Franz Steinmetz, 2019, IEEE Robotics and Automation Letters.

Learning to grasp under uncertainty

Stefan Schaal, Evangelos Theodorou, Jonas Buchli, 2011, 2011 IEEE International Conference on Robotics and Automation.

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

Tetsunori Kobayashi, Bernd Radig, Shinya Fujie, 2008, 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition.

Robotic Demands on On-Board Data Processing

Alexander Beyer, Freek Stulp, Julian Klodmann, 2019 .

Comparing motion generation and motion recall for everyday robotic tasks

Freek Stulp, Hilario Tome, Carmen Lopera, 2012, 2012 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012).

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

Sylvain Calinon, Jean-Baptiste Mouret, Freek Stulp, 2018, IEEE Transactions on Robotics.

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

Olivier Sigaud, Freek Stulp, 2013, Rev. d'Intelligence Artif..

Movement segmentation using a primitive library

Stefan Schaal, Franziska Meier, Evangelos Theodorou, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Policy Search in Continuous Action Domains: an Overview

Olivier Sigaud, Freek Stulp, F. Stulp, 2018, Neural Networks.

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

Freek Stulp, Ribin Balachandran, Bernhard Weber, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

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

Michael Beetz, Lorenz Mösenlechner, Freek Stulp, 2014, J. Artif. Intell. Res..

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

Michael Beetz, Stefan Schaal, Freek Stulp, 2009, 2009 9th IEEE-RAS International Conference on Humanoid Robots.

Enabling Users to Guide the Design of Robust Model Fitting Algorithms

Bernd Radig, Matthias Wimmer, Freek Stulp, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Refining the Execution of Abstract Actions with Learned Action Models

Michael Beetz, Freek Stulp, F. Stulp, 2008, J. Artif. Intell. Res..

Path Integral Policy Improvement with Covariance Matrix Adaptation pdf

Olivier Sigaud, Freek Stulp, F. Stulp, 2012, ICML.

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

Moritz Tenorth, Michael Beetz, Franziska Zacharias, 2009, 2009 9th IEEE-RAS International Conference on Humanoid Robots.

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

Bernd Radig, Matthias Wimmer, Freek Stulp, 2007, VMV.

Reinforcement learning of full-body humanoid motor skills

Stefan Schaal, Evangelos Theodorou, Jonas Buchli, 2010, 2010 10th IEEE-RAS International Conference on Humanoid Robots.

Learning Local Objective Functions for Robust Face Model Fitting

Bernd Radig, Matthias Wimmer, Freek Stulp, 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Autonomous Parallelization of Resource-Aware Robotic Task Nodes

Michael Beetz, Andreas Dömel, Freek Stulp, 2019, IEEE Robotics and Automation Letters.

Autonomous Robot Controllers Capable of Acquiring Repertoires of Complex Skills

Michael Beetz, Alexandra Kirsch, Freek Stulp, 2003, RoboCup.

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

Daniel Leidner, Michael Beetz, Armin Wedler, 2018, IEEE Robotics and Automation Letters.

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

Bernd Radig, Zahid Riaz, Matthias Wimmer, 2008, 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition.

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

Michael Beetz, Freek Stulp, F. Stulp, 2005, IJCAI.

New Software and Platforms - Learning algorithms

Olivier Mangin, Pierre-Yves Oudeyer, Didier Roy, 2013 .

Computed torque control with variable gains through Gaussian process regression

Michael N. Mistry, Freek Stulp, Nicolas Torres Alberto, 2014, 2014 IEEE-RAS International Conference on Humanoid Robots.

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

Michael Beetz, Bernd Radig, Freek Stulp, 2004, Auton. Robots.

Comparing motion generation and motion recall for everyday mobile manipulation tasks

Adolfo Rodríguez Tsouroukdissian, Freek Stulp, Hilario Tome, 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Adaptive exploration through covariance matrix adaptation enables developmental motor learning

Pierre-Yves Oudeyer, Freek Stulp, 2012, Paladyn J. Behav. Robotics.

Learning Predictive Knowledge to Optimize Robot Motor Control

Michael Beetz, Freek Stulp, F. Stulp, 2008 .

Facilitating intention prediction for humans by optimizing robot motions

Manuel Lopes, Jonathan Grizou, Freek Stulp, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Reinforcement Learning With Sequences of Motion Primitives for Robust Manipulation

Stefan Schaal, Evangelos Theodorou, Freek Stulp, 2012, IEEE Transactions on Robotics.

Software and Platforms - Software Platforms

Pierre Rouanet, Matthieu Lapeyre, Paul Fudal, 2013 .

Learning motion primitive goals for robust manipulation

Stefan Schaal, Ludovic Righetti, Evangelos Theodorou, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Emergent proximo-distal maturation through adaptive exploration

Pierre-Yves Oudeyer, Freek Stulp, F. Stulp, 2012, 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL).

New Results - Representation Learning

David Filliat, Adrien Matricon, Alexander Gepperth, 2016 .

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

Bernd Radig, Matthias Wimmer, Freek Stulp, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Machine control using radial basis value functions and inverse state projection

Michael Beetz, Freek Stulp, Thorsten Schmitt, 2002, 7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002..

Iteratively Refined Feasibility Checks in Robotic Assembly Sequence Planning

Daniel Leidner, Alin Albu-Schäffer, Michael Kaßecker, 2019, IEEE Robotics and Automation Letters.

Many regression algorithms, one unified model: A review

Olivier Sigaud, Freek Stulp, F. Stulp, 2015, Neural Networks.

Smooth Exploration for Robotic Reinforcement Learning

Jens Kober, Freek Stulp, Antonin Raffin, 2021, CoRL.

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

Daniel Leidner, Freek Stulp, Julian Klodmann, 2021, Frontiers in Robotics and AI.

Friction Estimation for Tendon-Driven Robotic Hands

Friedrich Lange, Freek Stulp, Sebastian Wolf, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

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

Freek Stulp, Bastian Deutschmann, Antonin Raffin, 2021, Frontiers in Robotics and AI.

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

Daniel Leidner, Freek Stulp, Peter Schmaus, 2021, IEEE Robotics and Automation Letters.

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

Freek Stulp, Abhishek Padalkar, Korbinian Nottensteiner, 2021, KR.

Autonomous Robots: Special Issue on Autonomous Mobile Manipulation Manuscript No. Generality and Legibility in Mobile Manipulation Learning Skills for Routine Tasks

Michael Beetz, Ulrich Klank, Freek Stulp, 2022 .