Jan Peters

papers in the register

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

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