Jan Peters

papers in the register

1. Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models (Abstract Reprint)
   AAAI · 2026
   Motion planningTrajectoryArtificial intelligenceComputer science
2. The earlier you know, the smoother you act: anticipatory control in solo and dyadic juggling
   Experimental Brain Research · 2026
   TrajectoryInternal modelComputer scienceComputer vision
3. The Earlier You Know, the Smoother You Act
   bioRxiv (Cold Spring Harbor Laboratory) · 2025
   TrajectoryComputer visionArtificial intelligenceComputer science
4. Maximum Total Correlation Reinforcement Learning.
   ICML · 2025
5. QueryCAD: Grounded Question Answering for CAD Models.
   ICRA · 2025
6. Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning.
   ICLR · 2025
7. Noise-conditioned Energy-based Annealed Rewards (NEAR): A Generative Framework for Imitation Learning from Observation.
   ICLR · 2025
8. DIME: Diffusion-Based Maximum Entropy Reinforcement Learning.
   ICML · 2025
9. Bridge the Gap: Enhancing Quadruped Locomotion with Vertical Ground Perturbations
   IROS · 2025
   Robustness (evolution)TraverseBridge (graph theory)Robot
10. Adaptive Control Based Friction Estimation for Tracking Control of Robot Manipulators
    IEEE Robotics and Automation Letters · 2025
    Robot manipulatorControl theory (sociology)Tracking (education)Control (management)
11. A Survey on Deep Generative Models for Robot Learning From Multimodal Demonstrations
    IEEE Transactions on Robotics · 2025
    Artificial intelligenceGenerative grammarComputer scienceDeep learning
12. Inverse decision-making using neural amortized Bayesian actors.
    ICLR · 2025
13. Reinforcement Learning for Robust Athletic Intel-ligence: Lessons Learned From the Second AI Olympics With RealAIGym Competition
    IEEE Robotics & Automation Magazine · 2025
    Reinforcement learningRobustness (evolution)Strengths and weaknessesArtificial intelligence
14. Motion Planning Diffusion: Learning and Adapting Robot Motion Planning With Diffusion Models
    IEEE Transactions on Robotics · 2025
    Motion planningMotion (physics)DiffusionComputer science
15. Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning
    ICRA · 2025
    Computer scienceImitationSymbolic communicationArtificial intelligence
16. Fast and Robust Visuomotor Riemannian Flow Matching Policy
    IEEE Transactions on Robotics · 2025
    Matching (statistics)Computer scienceArtificial intelligenceFlow (mathematics)
17. Gait in Eight: Efficient On-Robot Learning for Omnidirectional Quadruped Locomotion
    IROS · 2025
    Computer scienceRobustness (evolution)RobotOmnidirectional antenna
18. FlowMP: Learning Motion Fields for Robot Planning with Conditional Flow Matching
    IROS · 2025
    Artificial intelligenceTrajectoryMatching (statistics)Computer science
19. The Role of Embodiment in Intuitive Whole-Body Teleoperation for Mobile Manipulation
    Humanoids · 2025
    TeleoperationHuman–computer interactionComputer scienceVirtual reality
20. Learning Force Distribution Estimation for the GelSight Mini Optical Tactile Sensor Based on Finite Element Analysis
    IROS · 2025
    Tactile sensorFinite element methodComputer scienceGeneralization
21. Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications
    IEEE Transactions on Robotics · 2025
    Reinforcement learningConstraint (computer-aided design)Computer scienceArtificial intelligence
22. Context-Aware Deep Lagrangian Networks for Model Predictive Control
    IROS · 2025
    Model predictive controlInterpretabilityLeverage (statistics)Computer science
23. Learning Multimodal Latent Dynamics for Human–Robot Interaction
    IEEE Transactions on Robotics · 2025
    Computer scienceHuman–robot interactionRobotArtificial intelligence
24. Beyond the Cascade: Juggling Vanilla Siteswap Patterns
    IROS · 2024
    CascadeComputer scienceArtificial intelligence
25. Transition State Clustering for Interaction Segmentation and Learning
    2024
    Mixture modelComputer scienceArtificial intelligenceCluster analysis
26. ROSCOM: Robust Safe Reinforcement Learning on Stochastic Constraint Manifolds
    IEEE Transactions on Automation Science and Engineering · 2024
    Reinforcement learningConstraint (computer-aided design)Mathematical optimizationComputer science
27. Learning Energy-Efficient Trajectory Planning for Robotic Manipulators Using Bayesian Optimization
    2024
    Bayesian optimizationTrajectoryComputer scienceRobot manipulator
28. A Comparison of Imitation Learning Algorithms for Bimanual Manipulation
    IEEE Robotics and Automation Letters · 2024
    ImitationComputer scienceArtificial intelligenceAlgorithm
29. One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion.
    CoRL · 2024
30. Domain Randomization via Entropy Maximization.
    ICLR · 2024
31. A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics.
    NeurIPS · 2024
32. Evetac: An Event-Based Optical Tactile Sensor for Robotic Manipulation
    IEEE Transactions on Robotics · 2024
    Tactile sensorArtificial intelligenceComputer scienceComputer vision
33. Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula.
    ICLR · 2024
34. Parameterized Projected Bellman Operator.
    AAAI · 2024
35. Time-Efficient Reinforcement Learning with Stochastic Stateful Policies.
    ICLR · 2024
36. Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations.
    AAAI · 2024
37. Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning.
    CoRL · 2024
38. Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
    ICRA · 2024
39. CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity.
    ICLR · 2024
40. Zero-Shot Transfer of a Tactile-based Continuous Force Control Policy from Simulation to Robot.
    IROS · 2024
41. Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning.
    CoRL · 2024
42. Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks.
    ICML · 2024
43. Exciting Action: Investigating Efficient Exploration for Learning Musculoskeletal Humanoid Locomotion
    Humanoids · 2024
    Computer scienceReinforcement learningHumanoid robotImitation
44. A Holistic Concept on AI Assistance for Robot-Supported Reconnaissance and Mitigation of Acute Radiation Hazard Situations
    2024
    HazardRobotComputer scienceArtificial intelligence
45. Safe and Efficient Path Planning Under Uncertainty via Deep Collision Probability Fields
    IEEE Robotics and Automation Letters · 2024
    CollisionPath (computing)Motion planningCollision avoidance
46. What Matters for Active Texture Recognition With Vision-Based Tactile Sensors
    ICRA · 2024
    Computer visionComputer scienceArtificial intelligenceTexture (cosmology)
47. MoVEInt: Mixture of Variational Experts for Learning Human–Robot Interactions From Demonstrations
    IEEE Robotics and Automation Letters · 2024
    RobotComputer scienceArtificial intelligenceHuman–computer interaction
48. Grip Stabilization through Independent Finger Tactile Feedback Control
    TUbilio (Technical University of Darmstadt) · 2024
    GRASPTactile sensorRobotModular design
49. Kinematically Constrained Human-like Bimanual Robot-to-Human Handovers
    2024
    RobotInverse kinematicsComputer scienceKinematics
50. Sharing Knowledge in Multi-Task Deep Reinforcement Learning
    arXiv (Cornell University) · 2024
    Reinforcement learningComputer scienceLeverage (statistics)Artificial intelligence
51. Learning Sequential Force Interaction Skills
    TUbilio (Technical University of Darmstadt) · 2024
    Computer scienceTask (project management)Kinesthetic learningRobot
52. Hierarchical Tactile-Based Control Decomposition of Dexterous In-Hand Manipulation Tasks
    TUbilio (Technical University of Darmstadt) · 2024
    GRASPReinforcement learningComputer scienceTask (project management)
53. Advancing Sustainable Construction: Discrete Modular Systems & Robotic Assembly
    Sustainability · 2024
    Modular designModularity (biology)ReconfigurabilityInterlocking
54. PianoMime: Learning a Generalist, Dexterous Piano Player from Internet Demonstrations.
    CoRL · 2024
55. Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts.
    ICLR · 2024
56. Unsupervised Skill Discovery for Robotic Manipulation through Automatic Task Generation
    Humanoids · 2024
    Computer scienceLeverage (statistics)Artificial intelligenceReinforcement learning
57. Autonomous underwater vehicle link alignment control in unknown environments using reinforcement learning
    Journal of Field Robotics · 2024
    UnderwaterController (irrigation)Particle filterReinforcement learning
58. Extended Tree Search for Robot Task and Motion Planning
    IROS · 2024
    Computer scienceTask (project management)Motion planningRobot
59. Reinforcement Learning for Athletic Intelligence: Lessons from the 1st "AI Olympics with RealAIGym" Competition.
    IJCAI · 2024
60. On the Benefit of Optimal Transport for Curriculum Reinforcement Learning
    IEEE Transactions on Pattern Analysis and Machine Intelligence · 2024
    CurriculumReinforcement learningComputer scienceArtificial intelligence
61. Hierarchical Policy Blending as Inference for Reactive Robot Control.
    ICRA · 2023
62. Accelerating Motion Planning via Optimal Transport.
    NeurIPS · 2023
63. Start State Selection for Control Policy Learning from Optimal Trajectories.
    ICRA · 2023
64. Placing by Touching: An Empirical Study on the Importance of Tactile Sensing for Precise Object Placing.
    IROS · 2023
65. LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning.
    ICLR · 2023
66. SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion.
    ICRA · 2023
67. Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models.
    IROS · 2023
68. Pseudo-Likelihood Inference.
    NeurIPS · 2023
69. Improved Algorithms for Stochastic Linear Bandits Using Tail Bounds for Martingale Mixtures.
    NeurIPS · 2023
70. Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction.
    ICRA · 2023
71. Clustering of Motion Trajectories by a Distance Measure Based on Semantic Features.
    Humanoids · 2023
72. Model-Based Uncertainty in Value Functions.
    AISTATS · 2023
73. Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning.
    ICLR · 2023
74. Active Exploration for Robotic Manipulation.
    IROS · 2022
75. Graph-based Reinforcement Learning meets Mixed Integer Programs: An application to 3D robot assembly discovery.
    IROS · 2022
76. Boosted Curriculum Reinforcement Learning.
    ICLR · 2022
77. Curriculum Reinforcement Learning via Constrained Optimal Transport.
    ICML · 2022
78. Regularized Deep Signed Distance Fields for Reactive Motion Generation.
    IROS · 2022
79. Information-Theoretic Safe Exploration with Gaussian Processes.
    NeurIPS · 2022
80. Controlling the Cascade: Kinematic Planning for N-ball Toss Juggling.
    IROS · 2022
81. Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes.
    CoRL · 2022
82. Learning Implicit Priors for Motion Optimization.
    IROS · 2022
83. Improving Sample Efficiency of Example-Guided Deep Reinforcement Learning for Bipedal Walking.
    Humanoids · 2022
84. Dimensionality Reduction and Prioritized Exploration for Policy Search.
    AISTATS · 2022
85. Adapting Object-Centric Probabilistic Movement Primitives with Residual Reinforcement Learning.
    Humanoids · 2022
86. MILD: Multimodal Interactive Latent Dynamics for Learning Human-Robot Interaction.
    Humanoids · 2022
87. Integrated Bi-Manual Motion Generation and Control shaped for Probabilistic Movement Primitives.
    Humanoids · 2022
88. Neural Posterior Domain Randomization.
    CoRL · 2021
89. Value Iteration in Continuous Actions, States and Time.
    ICML · 2021
90. Efficient and Reactive Planning for High Speed Robot Air Hockey.
    IROS · 2021
91. Convex Regularization in Monte-Carlo Tree Search.
    ICML · 2021
92. A Variational Infinite Mixture for Probabilistic Inverse Dynamics Learning.
    ICRA · 2021
93. Robust Value Iteration for Continuous Control Tasks.
    RSS · 2021
94. Contextual Latent-Movements Off-Policy Optimization for Robotic Manipulation Skills.
    ICRA · 2021
95. Latent Derivative Bayesian Last Layer Networks.
    AISTATS · 2021
96. Directed Acyclic Graph Neural Network for Human Motion Prediction.
    ICRA · 2021
97. Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning.
    RSS · 2021
98. Robot Reinforcement Learning on the Constraint Manifold.
    CoRL · 2021
99. Learning Human-like Hand Reaching for Human-Robot Handshaking.
    ICRA · 2021
100. Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning.
     ICRA · 2021
101. Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning.
     ICRA · 2021
102. Real Robot Challenge: A Robotics Competition in the Cloud.
     NeurIPS · 2021
103. Learn2Assemble with Structured Representations and Search for Robotic Architectural Construction.
     CoRL · 2021
104. Self-Paced Deep Reinforcement Learning.
     NeurIPS · 2020
105. Generalized Mean Estimation in Monte-Carlo Tree Search.
     IJCAI · 2020
106. Model-Based Quality-Diversity Search for Efficient Robot Learning.
     IROS · 2020
107. ImitationFlow: Learning Deep Stable Stochastic Dynamic Systems by Normalizing Flows.
     IROS · 2020
108. High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards.
     CoRL · 2020
109. Redundancy resolution under hard joint constraints: a generalized approach to rank updates.
     IROS · 2020
110. Bayesian Online Prediction of Change Points.
     UAI · 2020
111. Sharing Knowledge in Multi-Task Deep Reinforcement Learning.
     ICLR · 2020
112. Underactuated Waypoint Trajectory Optimization for Light Painting Photography.
     ICRA · 2020
113. Learning Control Policies from Optimal Trajectories.
     ICRA · 2020
114. Learning Hierarchical Acquisition Functions for Bayesian Optimization.
     IROS · 2020
115. Deep Adversarial Reinforcement Learning for Object Disentangling.
     IROS · 2020
116. A Nonparametric Off-Policy Policy Gradient.
     AISTATS · 2020
117. Self-Paced Contextual Reinforcement Learning.
     CoRL · 2019
118. Generalized Multiple Correlation Coefficient as a Similarity Measurement between Trajectories.
     IROS · 2019
119. HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints.
     CoRL · 2019
120. Building a Library of Tactile Skills Based on FingerVision.
     Humanoids · 2019
121. Local Online Motor Babbling: Learning Motor Abundance of a Musculoskeletal Robot Arm*.
     IROS · 2019
122. Stochastic Optimal Control as Approximate Input Inference.
     CoRL · 2019
123. Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning.
     ICLR · 2019
124. Entropic Risk Measure in Policy Search.
     IROS · 2019
125. Deep Lagrangian Networks for end-to-end learning of energy-based control for under-actuated systems.
     IROS · 2019
126. Experience Reuse with Probabilistic Movement Primitives.
     IROS · 2019
127. Chance-Constrained Trajectory Optimization for Non-linear Systems with Unknown Stochastic Dynamics.
     IROS · 2019
128. Switching Linear Dynamics for Variational Bayes Filtering.
     ICML · 2019
129. Multimodal Uncertainty Reduction for Intention Recognition in Human-Robot Interaction.
     IROS · 2019
130. Receding Horizon Curiosity.
     CoRL · 2019
131. Projections for Approximate Policy Iteration Algorithms.
     ICML · 2019
132. Reinforcement Learning of Trajectory Distributions: Applications in Assisted Teleoperation and Motion Planning.
     IROS · 2019
133. PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos.
     ICML · 2018
134. Utilizing Human Feedback in POMDP Execution and Specification.
     Humanoids · 2018
135. Online Learning of an Open-Ended Skill Library for Collaborative Tasks.
     Humanoids · 2018
136. Regularizing Reinforcement Learning with State Abstraction.
     IROS · 2018
137. Learning Coupled Forward-Inverse Models with Combined Prediction Errors.
     ICRA · 2018
138. Inducing Probabilistic Context-Free Grammars for the Sequencing of Movement Primitives.
     ICRA · 2018
139. Sample and Feedback Efficient Hierarchical Reinforcement Learning from Human Preferences.
     ICRA · 2018
140. Domain Randomization for Simulation-Based Policy Optimization with Transferability Assessment.
     CoRL · 2018
141. Context-driven movement primitive adaptation.
     ICRA · 2017
142. A comparison of distance measures for learning nonparametric motor skill libraries.
     Humanoids · 2017
143. Local Bayesian Optimization of Motor Skills.
     ICML · 2017
144. Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals.
     CoRL · 2017
145. Hybrid control trajectory optimization under uncertainty.
     IROS · 2017
146. Goal-driven dimensionality reduction for reinforcement learning.
     IROS · 2017
147. A learning-based shared control architecture for interactive task execution.
     ICRA · 2017
148. Layered direct policy search for learning hierarchical skills.
     ICRA · 2017
149. Learning inverse dynamics models in O(n) time with LSTM networks.
     Humanoids · 2017
150. Empowered skills.
     ICRA · 2017
151. Policy Search with High-Dimensional Context Variables.
     AAAI · 2017
152. Efficient online adaptation with stochastic recurrent neural networks.
     Humanoids · 2017
153. Active Incremental Learning of Robot Movement Primitives.
     CoRL · 2017
154. A new trajectory generation framework in robotic table tennis.
     IROS · 2016
155. Jointly learning trajectory generation and hitting point prediction in robot table tennis.
     Humanoids · 2016
156. Stability of Controllers for Gaussian Process Forward Models.
     ICML · 2016
157. Incremental imitation learning of context-dependent motor skills.
     Humanoids · 2016
158. Deep spiking networks for model-based planning in humanoids.
     Humanoids · 2016
159. Stable reinforcement learning with autoencoders for tactile and visual data.
     IROS · 2016
160. Movement primitives with multiple phase parameters.
     ICRA · 2016
161. Learning soft task priorities for control of redundant robots.
     ICRA · 2016
162. A lightweight robotic arm with pneumatic muscles for robot learning.
     ICRA · 2016
163. Catching heuristics are optimal control policies.
     NeurIPS · 2016
164. Active tactile object exploration with Gaussian processes.
     IROS · 2016
165. Probabilistic decomposition of sequential force interaction tasks into Movement Primitives.
     IROS · 2016
166. Using probabilistic movement primitives for striking movements.
     Humanoids · 2016
167. Demonstration based trajectory optimization for generalizable robot motions.
     Humanoids · 2016
168. Learning robot in-hand manipulation with tactile features.
     Humanoids · 2015
169. Learning torque control in presence of contacts using tactile sensing from robot skin.
     Humanoids · 2015
170. Learning motor skills from partially observed movements executed at different speeds.
     IROS · 2015
171. Learning of Non-Parametric Control Policies with High-Dimensional State Features.
     AISTATS · 2015
172. First-person tele-operation of a humanoid robot.
     Humanoids · 2015
173. Combined pose-wrench and state machine representation for modeling Robotic Assembly Skills.
     IROS · 2015
174. Model-Based Relative Entropy Stochastic Search.
     NeurIPS · 2015
175. Optimizing robot striking movement primitives with Iterative Learning Control.
     Humanoids · 2015
176. Towards learning hierarchical skills for multi-phase manipulation tasks.
     ICRA · 2015
177. Model-free Probabilistic Movement Primitives for physical interaction.
     IROS · 2015
178. Extracting low-dimensional control variables for movement primitives.
     ICRA · 2015
179. Learning optimal striking points for a ping-pong playing robot.
     IROS · 2015
180. Evaluation of tactile feature extraction for interactive object recognition.
     Humanoids · 2015
181. Learning multiple collaborative tasks with a mixture of Interaction Primitives.
     ICRA · 2015
182. Stabilizing novel objects by learning to predict tactile slip.
     IROS · 2015
183. Probabilistic segmentation applied to an assembly task.
     Humanoids · 2015
184. Learning inverse dynamics models with contacts.
     ICRA · 2015
185. Reinforcement learning vs human programming in tetherball robot games.
     IROS · 2015
186. A comparison of contact distribution representations for learning to predict object interactions.
     Humanoids · 2015
187. Probabilistic progress prediction and sequencing of concurrent movement primitives.
     IROS · 2015
188. Learning to predict phases of manipulation tasks as hidden states.
     ICRA · 2014
189. Learning interaction for collaborative tasks with probabilistic movement primitives.
     Humanoids · 2014
190. Policy search for learning robot control using sparse data.
     ICRA · 2014
191. Active Reward Learning.
     RSS · 2014
192. Multi-task policy search for robotics.
     ICRA · 2014
193. Learning to sequence movement primitives from demonstrations.
     IROS · 2014
194. Sample-based informationl-theoretic stochastic optimal control.
     ICRA · 2014
195. Generalizing pouring actions between objects using warped parameters.
     Humanoids · 2014
196. Predicting object interactions from contact distributions.
     IROS · 2014
197. An experimental comparison of Bayesian optimization for bipedal locomotion.
     ICRA · 2014
198. Tools for simulating humanoid robot dynamics: A survey based on user feedback.
     Humanoids · 2014
199. Latent space policy search for robotics.
     IROS · 2014
200. Dimensionality reduction for probabilistic movement primitives.
     Humanoids · 2014
201. Interaction primitives for human-robot cooperation tasks.
     ICRA · 2014
202. Learning robot tactile sensing for object manipulation.
     IROS · 2014
203. Robust policy updates for stochastic optimal control.
     Humanoids · 2014
204. Learning responsive robot behavior by imitation.
     IROS · 2013
205. Probabilistic interactive segmentation for anthropomorphic robots in cluttered environments.
     Humanoids · 2013
206. Feedback error learning for rhythmic motor primitives.
     ICRA · 2013
207. A probabilistic approach to robot trajectory generation.
     Humanoids · 2013
208. Data-Efficient Generalization of Robot Skills with Contextual Policy Search.
     AAAI · 2013
209. Probabilistic Movement Primitives.
     NeurIPS · 2013
210. Learning sequential motor tasks.
     ICRA · 2013
211. Model-based imitation learning by probabilistic trajectory matching.
     ICRA · 2013
212. Maximally informative interaction learning for scene exploration.
     IROS · 2012
213. Point cloud completion using extrusions.
     Humanoids · 2012
214. Learning concurrent motor skills in versatile solution spaces.
     IROS · 2012
215. Probabilistic Modeling of Human Movements for Intention Inference.
     RSS · 2012
216. A brain-robot interface for studying motor learning after stroke.
     IROS · 2012
217. Toward fast policy search for learning legged locomotion.
     IROS · 2012
218. A kernel-based approach to direct action perception.
     ICRA · 2012
219. Learning throwing and catching skills.
     IROS · 2012
220. Learning tracking control with forward models.
     ICRA · 2012
221. Algorithms for Learning Markov Field Policies.
     NeurIPS · 2012
222. Generalization of human grasping for multi-fingered robot hands.
     IROS · 2012
223. A flexible hybrid framework for modeling complex manipulation tasks.
     ICRA · 2011
224. A Non-Parametric Approach to Dynamic Programming.
     NeurIPS · 2011
225. Learning inverse kinematics with structured prediction.
     IROS · 2011
226. Learning elementary movements jointly with a higher level task.
     IROS · 2011
227. Trajectory planning for optimal robot catching in real-time.
     ICRA · 2011
228. Balancing Safety and Exploitability in Opponent Modeling.
     AAAI · 2011
229. Learning task-space tracking control with kernels.
     IROS · 2011
230. Learning robot grasping from 3-D images with Markov Random Fields.
     IROS · 2011
231. Reinforcement Learning to Adjust Robot Movements to New Situations.
     IJCAI · 2011
232. Modeling Opponent Actions for Table-Tennis Playing Robot.
     AAAI · 2011
233. Learning anticipation policies for robot table tennis.
     IROS · 2011
234. Movement extraction by detecting dynamics switches and repetitions.
     NeurIPS · 2010
235. A biomimetic approach to robot table tennis.
     IROS · 2010
236. Switched Latent Force Models for Movement Segmentation.
     NeurIPS · 2010
237. Learning table tennis with a Mixture of Motor Primitives.
     Humanoids · 2010
238. Learning probabilistic discriminative models of grasp affordances under limited supervision.
     IROS · 2010
239. Movement templates for learning of hitting and batting.
     ICRA · 2010
240. Relative Entropy Policy Search.
     AAAI · 2010
241. Using model knowledge for learning inverse dynamics.
     ICRA · 2010
242. Learning motor primitives for robotics.
     ICRA · 2009
243. Active learning using mean shift optimization for robot grasping.
     IROS · 2009
244. Learning complex motions by sequencing simpler motion templates.
     ICML · 2009
245. Sparse online model learning for robot control with support vector regression.
     IROS · 2009
246. Real-time learning of resolved velocity control on a Mitsubishi PA-10.
     ICRA · 2008
247. Local Gaussian Process Regression for Real Time Online Model Learning.
     NeurIPS · 2008
248. Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation.
     AAAI · 2008
249. Policy Search for Motor Primitives in Robotics.
     NeurIPS · 2008
250. Fitted Q-iteration by Advantage Weighted Regression.
     NeurIPS · 2008
251. Local Gaussian process regression for real-time model-based robot control.
     IROS · 2008
252. Learning perceptual coupling for motor primitives.
     IROS · 2008
253. Using Bayesian Dynamical Systems for Motion Template Libraries.
     NeurIPS · 2008
254. Reinforcement learning by reward-weighted regression for operational space control.
     ICML · 2007
255. Reinforcement Learning for Operational Space Control.
     ICRA · 2007
256. Towards compliant humanoids-an experimental assessment of suitable task space position/orientation controllers.
     IROS · 2007
257. Policy Gradient Methods for Robotics.
     IROS · 2006
258. A Bayesian Approach to Nonlinear Parameter Identification for Rigid Body Dynamics.
     RSS · 2006
259. Learning Operational Space Control.
     RSS · 2006
260. Comparative experiments on task space control with redundancy resolution.
     IROS · 2005
261. A unifying methodology for the control of robotic systems.
     IROS · 2005

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