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Stefan Schaal

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Papers (39)

  1. Open X-Embodiment: Robotic Learning Datasets and RT-X Models cs.RO · 2023 · author #227
  2. Scaling simulation-to-real transfer by learning composable robot skills cs.LG · 2018 · author #5
  3. Probabilistic Recurrent State-Space Models stat.ML · 2018 · author #5
  4. Learning Sensor Feedback Models from Demonstrations via Phase-Modulated Neural Networks cs.RO · 2017 · author #3
  5. On Time Optimization of Centroidal Momentum Dynamics cs.RO · 2017 · author #4
  6. Unsupervised Contact Learning for Humanoid Estimation and Control cs.RO · 2017 · author #2
  7. On the Design of LQR Kernels for Efficient Controller Learning cs.SY · 2017 · author #3
  8. Online Learning of a Memory for Learning Rates cs.LG · 2017 · author #3
  9. Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets cs.RO · 2017 · author #3
  10. Time-Contrastive Networks: Self-Supervised Learning from Video cs.CV · 2017 · author #6
  11. Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning cs.RO · 2017 · author #5
  12. Model-Based Policy Search for Automatic Tuning of Multivariate PID Controllers cs.LG · 2017 · author #4
  13. Virtual vs. Real: Trading Off Simulations and Physical Experiments in Reinforcement Learning with Bayesian Optimization cs.RO · 2017 · author #6
  14. Balancing and Walking Using Full Dynamics LQR Control With Contact Constraints cs.RO · 2017 · author #3
  15. A Probabilistic Representation for Dynamic Movement Primitives cs.RO · 2016 · author #2
  16. Probabilistic Articulated Real-Time Tracking for Robot Manipulation cs.RO · 2016 · author #4
  17. Learning Feedback Terms for Reactive Planning and Control cs.RO · 2016 · author #3
  18. Path Integral Guided Policy Search cs.RO · 2016 · author #5
  19. Stepping Stabilization Using a Combination of DCM Tracking and Step Adjustment cs.RO · 2016 · author #5
  20. DOOMED: Direct Online Optimization of Modeling Errors in Dynamics cs.RO · 2016 · author #4
  21. A Convex Model of Momentum Dynamics for Multi-Contact Motion Generation cs.RO · 2016 · author #3
  22. On the Fundamental Importance of Gauss-Newton in Motion Optimization cs.RO · 2016 · author #4
  23. Structured contact force optimization for kino-dynamic motion generation cs.RO · 2016 · author #2
  24. Automatic LQR Tuning Based on Gaussian Process Global Optimization cs.RO · 2016 · author #4
  25. Interactive Perception: Leveraging Action in Perception and Perception in Action cs.RO · 2016 · author #6
  26. Depth-Based Object Tracking Using a Robust Gaussian Filter cs.RO · 2016 · author #6
  27. Inertial Sensor-Based Humanoid Joint State Estimation cs.RO · 2016 · author #3
  28. Robust Gaussian Filtering using a Pseudo Measurement stat.ML · 2015 · author #7
  29. Humanoid Momentum Estimation Using Sensed Contact Wrenches cs.RO · 2015 · author #3
  30. Trajectory generation for multi-contact momentum-control cs.RO · 2015 · author #3
  31. The Coordinate Particle Filter - A novel Particle Filter for High Dimensional Systems cs.RO · 2015 · author #5
  32. Probabilistic Object Tracking using a Range Camera cs.RO · 2015 · author #5
  33. A New Perspective and Extension of the Gaussian Filter cs.RO · 2015 · author #4
  34. Probabilistic Depth Image Registration incorporating Nonvisual Information cs.RO · 2015 · author #5
  35. Policy Learning with Hypothesis based Local Action Selection cs.RO · 2015 · author #4
  36. Momentum Control with Hierarchical Inverse Dynamics on a Torque-Controlled Humanoid cs.RO · 2014 · author #5
  37. State Estimation for a Humanoid Robot cs.RO · 2014 · author #4
  38. Local Gaussian Regression cs.LG · 2014 · author #3
  39. Balancing experiments on a torque-controlled humanoid with hierarchical inverse dynamics cs.RO · 2013 · author #5

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