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ORCIDStefan Schaal
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- affiliation: University of Southern California, Los Angeles, USA
- affiliation: Max-Planck Institute Intelligent Systems, Tübingen, Germany
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2020 – today
- 2023
[c169]Zheng Wu, Yichen Xie, Wenzhao Lian, Changhao Wang, Yanjiang Guo, Jianyu Chen, Stefan Schaal, Masayoshi Tomizuka:
Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning. ICRA 2023: 7169-7175- [i65]Jianlan Luo, Charles Xu, Xinyang Geng, Gilbert Feng, Kuan Fang, Liam Tan, Stefan Schaal, Sergey Levine:
Multi-Stage Cable Routing through Hierarchical Imitation Learning. CoRR abs/2307.08927 (2023) - 2022
- [j63]Alina Kloss
, Stefan Schaal, Jeannette Bohg:
Combining learned and analytical models for predicting action effects from sensory data. Int. J. Robotics Res. 41(8): 778-797 (2022) - [j62]Giovanni Sutanto, Katharina Rombach, Yevgen Chebotar, Zhe Su, Stefan Schaal, Gaurav S. Sukhatme, Franziska Meier:
Supervised learning and reinforcement learning of feedback models for reactive behaviors: Tactile feedback testbed. Int. J. Robotics Res. 41(13-14): 1121-1145 (2022) - [j61]Azarakhsh Keipour, Maryam Bandari, Stefan Schaal:
Deformable One-Dimensional Object Detection for Routing and Manipulation. IEEE Robotics Autom. Lett. 7(2): 4329-4336 (2022) - [j60]Todor Davchev, Kevin Sebastian Luck, Michael Burke, Franziska Meier, Stefan Schaal, Subramanian Ramamoorthy:
Residual Learning From Demonstration: Adapting DMPs for Contact-Rich Manipulation. IEEE Robotics Autom. Lett. 7(2): 4488-4495 (2022) - [j59]Shiyu Jin, Wenzhao Lian, Changhao Wang, Masayoshi Tomizuka, Stefan Schaal:
Robotic Cable Routing with Spatial Representation. IEEE Robotics Autom. Lett. 7(2): 5687-5694 (2022) - [c168]Todor Davchev, Oleg Olegovich Sushkov, Jean-Baptiste Regli, Stefan Schaal, Yusuf Aytar, Markus Wulfmeier, Jon Scholz:
Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation. ICLR 2022 - [c167]Toki Migimatsu, Wenzhao Lian, Jeannette Bohg, Stefan Schaal:
Symbolic State Estimation with Predicates for Contact-Rich Manipulation Tasks. ICRA 2022: 1702-1709 - [c166]Michael H. Lim, Andy Zeng, Brian Ichter, Maryam Bandari, Erwin Coumans, Claire J. Tomlin, Stefan Schaal, Aleksandra Faust:
Multi-Task Learning with Sequence-Conditioned Transporter Networks. ICRA 2022: 2489-2496 - [c165]Tony Z. Zhao, Jianlan Luo, Oleg Sushkov, Rugile Pevceviciute, Nicolas Heess, Jon Scholz, Stefan Schaal, Sergey Levine:
Offline Meta-Reinforcement Learning for Industrial Insertion. ICRA 2022: 6386-6393 - [c164]Bowen Wen, Wenzhao Lian, Kostas E. Bekris, Stefan Schaal:
CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation. ICRA 2022: 6401-6408 - [c163]Azarakhsh Keipour, Maryam Bandari, Stefan Schaal:
Efficient Spatial Representation and Routing of Deformable One-Dimensional Objects for Manipulation. IROS 2022: 211-216 - [c162]Simon Stepputtis, Maryam Bandari, Stefan Schaal, Heni Ben Amor:
A System for Imitation Learning of Contact-Rich Bimanual Manipulation Policies. IROS 2022: 11810-11817 - [c161]Bowen Wen, Wenzhao Lian, Kostas E. Bekris, Stefan Schaal:
You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration. Robotics: Science and Systems 2022 - [i64]Azarakhsh Keipour, Maryam Bandari, Stefan Schaal:
Deformable One-Dimensional Object Detection for Routing and Manipulation. CoRR abs/2201.06775 (2022) - [i63]Bowen Wen, Wenzhao Lian, Kostas E. Bekris, Stefan Schaal:
You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration. CoRR abs/2201.12716 (2022) - [i62]Azarakhsh Keipour, Maryam Bandari, Stefan Schaal:
Efficient Spatial Representation and Routing of Deformable One-Dimensional Objects for Manipulation. CoRR abs/2202.06172 (2022) - [i61]Toki Migimatsu, Wenzhao Lian, Jeannette Bohg, Stefan Schaal:
Symbolic State Estimation with Predicates for Contact-Rich Manipulation Tasks. CoRR abs/2203.02468 (2022) - [i60]Azarakhsh Keipour, Mohammadreza Mousaei, Maryam Bandari, Stefan Schaal, Sebastian A. Scherer:
Detection and Physical Interaction with Deformable Linear Objects. CoRR abs/2205.08041 (2022) - [i59]Simon Stepputtis, Maryam Bandari, Stefan Schaal, Heni Ben Amor:
A System for Imitation Learning of Contact-Rich Bimanual Manipulation Policies. CoRR abs/2208.00596 (2022) - [i58]Zheng Wu, Yichen Xie, Wenzhao Lian, Changhao Wang, Yanjiang Guo, Jianyu Chen, Stefan Schaal, Masayoshi Tomizuka:
Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning. CoRR abs/2210.00350 (2022) - [i57]Zheng Wu, Wenzhao Lian, Changhao Wang, Mengxi Li, Stefan Schaal, Masayoshi Tomizuka:
Prim-LAfD: A Framework to Learn and Adapt Primitive-Based Skills from Demonstrations for Insertion Tasks. CoRR abs/2212.00955 (2022) - 2021
- [j58]Vince Enachescu, Paul R. Schrater, Stefan Schaal, Vassilios N. Christopoulos:
Action planning and control under uncertainty emerge through a desirability-driven competition between parallel encoding motor plans. PLoS Comput. Biol. 17(10) (2021) - [c160]Zheng Wu, Wenzhao Lian, Vaibhav V. Unhelkar, Masayoshi Tomizuka, Stefan Schaal:
Learning Dense Rewards for Contact-Rich Manipulation Tasks. ICRA 2021: 6214-6221 - [c159]Wenzhao Lian, Tim Kelch, Dirk Holz, Adam Norton, Stefan Schaal:
Benchmarking Off-The-Shelf Solutions to Robotic Assembly Tasks. IROS 2021: 1046-1053 - [c158]Jianlan Luo, Oleg Sushkov, Rugile Pevceviciute, Wenzhao Lian, Chang Su, Mel Vecerík, Ning Ye, Stefan Schaal, Jonathan Scholz:
Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study. Robotics: Science and Systems 2021 - [i56]Wenzhao Lian, Tim Kelch, Dirk Holz, Adam Norton, Stefan Schaal:
Benchmarking Off-The-Shelf Solutions to Robotic Assembly Tasks. CoRR abs/2103.05140 (2021) - [i55]Jianlan Luo, Oleg Sushkov, Rugile Pevceviciute, Wenzhao Lian, Chang Su, Mel Vecerík, Ning Ye, Stefan Schaal, Jonathan Scholz:
Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study. CoRR abs/2103.11512 (2021) - [i54]John R. Rebula, Stefan Schaal, James M. Finley, Ludovic Righetti:
A Robustness Analysis of Inverse Optimal Control of Bipedal Walking. CoRR abs/2104.12042 (2021) - [i53]Michael H. Lim, Andy Zeng, Brian Ichter, Maryam Bandari, Erwin Coumans, Claire J. Tomlin, Stefan Schaal, Aleksandra Faust:
Multi-Task Learning with Sequence-Conditioned Transporter Networks. CoRR abs/2109.07578 (2021) - [i52]Bowen Wen, Wenzhao Lian, Kostas E. Bekris, Stefan Schaal:
CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation. CoRR abs/2109.09163 (2021) - [i51]Tony Z. Zhao, Jianlan Luo, Oleg Sushkov, Rugile Pevceviciute, Nicolas Heess, Jonathan Scholz, Stefan Schaal, Sergey Levine:
Offline Meta-Reinforcement Learning for Industrial Insertion. CoRR abs/2110.04276 (2021) - [i50]Nicholas Roy, Ingmar Posner, Tim D. Barfoot, Philippe Beaudoin, Yoshua Bengio, Jeannette Bohg, Oliver Brock, Isabelle Depatie, Dieter Fox, Daniel E. Koditschek, Tomás Lozano-Pérez, Vikash Mansinghka, Christopher J. Pal, Blake A. Richards, Dorsa Sadigh, Stefan Schaal, Gaurav S. Sukhatme, Denis Thérien, Marc Toussaint, Michiel van de Panne:
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence. CoRR abs/2110.15245 (2021) - [i49]Todor Davchev, Oleg Sushkov, Jean-Baptiste Regli, Stefan Schaal, Yusuf Aytar, Markus Wulfmeier, Jon Scholz:
Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation. CoRR abs/2112.00597 (2021) - 2020
- [j57]Ryan Julian, Eric Heiden, Zhanpeng He, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman:
Scaling simulation-to-real transfer by learning a latent space of robot skills. Int. J. Robotics Res. 39(10-11) (2020) - [c157]Jim Mainprice, Nathan D. Ratliff, Marc Toussaint, Stefan Schaal:
An Interior Point Method Solving Motion Planning Problems with Narrow Passages. RO-MAN 2020: 547-552 - [i48]Polina Golland, Jack L. Gallant, Greg Hager, Hanspeter Pfister, Christos H. Papadimitriou, Stefan Schaal, Joshua T. Vogelstein:
A New Age of Computing and the Brain. CoRR abs/2004.12926 (2020) - [i47]Giovanni Sutanto, Katharina Rombach, Yevgen Chebotar, Zhe Su, Stefan Schaal, Gaurav S. Sukhatme, Franziska Meier:
Supervised Learning and Reinforcement Learning of Feedback Models for Reactive Behaviors: Tactile Feedback Testbed. CoRR abs/2007.00450 (2020) - [i46]Jim Mainprice, Nathan D. Ratliff, Marc Toussaint, Stefan Schaal:
An Interior Point Method Solving Motion Planning Problems with Narrow Passages. CoRR abs/2007.04842 (2020) - [i45]Todor Davchev, Kevin Sebastian Luck, Michael Burke, Franziska Meier, Stefan Schaal, Subramanian Ramamoorthy:
Residual Learning from Demonstration. CoRR abs/2008.07682 (2020) - [i44]Zheng Wu, Wenzhao Lian, Vaibhav V. Unhelkar, Masayoshi Tomizuka, Stefan Schaal:
Learning Dense Rewards for Contact-Rich Manipulation Tasks. CoRR abs/2011.08458 (2020)
2010 – 2019
- 2019
- [j56]John R. Rebula, Stefan Schaal, James M. Finley, Ludovic Righetti:
A Robustness Analysis of Inverse Optimal Control of Bipedal Walking. IEEE Robotics Autom. Lett. 4(4): 4531-4538 (2019) - [c156]Kevin Hitzler, Franziska Meier, Stefan Schaal, Tamim Asfour:
Learning and Adaptation of Inverse Dynamics Models: A Comparison. Humanoids 2019: 491-498 - 2018
- [j55]Daniel Kappler, Franziska Meier, Jan Issac, Jim Mainprice, Cristina Garcia Cifuentes, Manuel Wuthrich, Vincent Berenz, Stefan Schaal, Nathan D. Ratliff, Jeannette Bohg:
Real-Time Perception Meets Reactive Motion Generation. IEEE Robotics Autom. Lett. 3(3): 1864-1871 (2018) - [j54]Vincent Berenz, Stefan Schaal:
The Playful Software Platform: Reactive Programming for Orchestrating Robotic Behavior. IEEE Robotics Autom. Mag. 25(3): 49-60 (2018) - [c155]Andrej Gams, Sean A. Mason, Ales Ude, Stefan Schaal, Ludovic Righetti:
Learning Task-Specific Dynamics to Improve Whole-Body Control. Humanoids 2018: 280-283 - [c154]Andreas Doerr, Christian Daniel, Martin Schiegg, Duy Nguyen-Tuong, Stefan Schaal, Marc Toussaint, Sebastian Trimpe:
Probabilistic Recurrent State-Space Models. ICML 2018: 1279-1288 - [c153]Brahayam Ponton, Alexander Herzog, Andrea Del Prete, Stefan Schaal, Ludovic Righetti:
On Time Optimization of Centroidal Momentum Dynamics. ICRA 2018: 1-7 - [c152]Nicholas Rotella, Stefan Schaal, Ludovic Righetti:
Unsupervised Contact Learning for Humanoid Estimation and Control. ICRA 2018: 411-417 - [c151]Pierre Sermanet, Corey Lynch, Yevgen Chebotar, Jasmine Hsu, Eric Jang, Stefan Schaal, Sergey Levine:
Time-Contrastive Networks: Self-Supervised Learning from Video. ICRA 2018: 1134-1141 - [c150]Giovanni Sutanto, Zhe Su, Stefan Schaal, Franziska Meier:
Learning Sensor Feedback Models from Demonstrations via Phase-Modulated Neural Networks. ICRA 2018: 1142-1149 - [c149]Sean Mason, Nicholas Rotella, Stefan Schaal, Ludovic Righetti:
An MPC Walking Framework with External Contact Forces. ICRA 2018: 1785-1790 - [c148]Franziska Meier, Daniel Kappler, Stefan Schaal:
Online Learning of a Memory for Learning Rates. ICRA 2018: 2425-2432 - [c147]Zhe Su, Oliver Kroemer, Gerald E. Loeb, Gaurav S. Sukhatme, Stefan Schaal:
Learning Manipulation Graphs from Demonstrations Using Multimodal Sensory Signals. ICRA 2018: 2758-2765 - [c146]Ryan Julian, Eric Heiden, Zhanpeng He, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman:
Scaling Simulation-to-Real Transfer by Learning Composable Robot Skills. ISER 2018: 267-279 - [i43]Andrej Gams, Sean A. Mason, Ales Ude, Stefan Schaal, Ludovic Righetti:
Learning Task-Specific Dynamics to Improve Whole-Body Control. CoRR abs/1803.01978 (2018) - [i42]Ryan Julian, Eric Heiden, Zhanpeng He, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman:
Scaling simulation-to-real transfer by learning composable robot skills. CoRR abs/1809.10253 (2018) - [i41]Zhanpeng He, Ryan Julian, Eric Heiden, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman:
Zero-Shot Skill Composition and Simulation-to-Real Transfer by Learning Task Representations. CoRR abs/1810.02422 (2018) - 2017
- [j53]Cristina Garcia Cifuentes, Jan Issac, Manuel Wüthrich, Stefan Schaal, Jeannette Bohg:
Probabilistic Articulated Real-Time Tracking for Robot Manipulation. IEEE Robotics Autom. Lett. 2(2): 577-584 (2017) - [j52]Jeannette Bohg, Karol Hausman, Bharath Sankaran, Oliver Brock, Danica Kragic, Stefan Schaal, Gaurav S. Sukhatme:
Interactive Perception: Leveraging Action in Perception and Perception in Action. IEEE Trans. Robotics 33(6): 1273-1291 (2017) - [c145]Yevgen Chebotar, Karol Hausman, Oliver Kroemer, Gaurav S. Sukhatme, Stefan Schaal:
Regrasping Using Tactile Perception and Supervised Policy Learning. AAAI Spring Symposia 2017 - [c144]Alonso Marco, Philipp Hennig, Stefan Schaal, Sebastian Trimpe:
On the design of LQR kernels for efficient controller learning. CDC 2017: 5193-5200 - [c143]Andreas Doerr, Christian Daniel, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Marc Toussaint, Sebastian Trimpe:
Optimizing Long-term Predictions for Model-based Policy Search. CoRL 2017: 227-238 - [c142]Yevgen Chebotar, Karol Hausman, Marvin Zhang, Gaurav S. Sukhatme, Stefan Schaal, Sergey Levine:
Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning. ICML 2017: 703-711 - [c141]Alonso Marco, Felix Berkenkamp, Philipp Hennig, Angela P. Schoellig, Andreas Krause, Stefan Schaal, Sebastian Trimpe:
Virtual vs. real: Trading off simulations and physical experiments in reinforcement learning with Bayesian optimization. ICRA 2017: 1557-1563 - [c140]Akshara Rai, Giovanni Sutanto, Stefan Schaal, Franziska Meier:
Learning feedback terms for reactive planning and control. ICRA 2017: 2184-2191 - [c139]Yevgen Chebotar, Mrinal Kalakrishnan, Ali Yahya, Adrian Li, Stefan Schaal, Sergey Levine:
Path integral guided policy search. ICRA 2017: 3381-3388 - [c138]Andreas Doerr, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Sebastian Trimpe:
Model-based policy search for automatic tuning of multivariate PID controllers. ICRA 2017: 5295-5301 - [c137]Carlos Rubert, Daniel Kappler, Antonio Morales, Stefan Schaal, Jeannette Bohg:
On the relevance of grasp metrics for predicting grasp success. IROS 2017: 265-272 - [c136]Daniel Kappler, Franziska Meier, Nathan D. Ratliff, Stefan Schaal:
A new data source for inverse dynamics learning. IROS 2017: 4723-4730 - [c135]Karol Hausman, Yevgen Chebotar, Stefan Schaal, Gaurav S. Sukhatme, Joseph J. Lim:
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets. NIPS 2017: 1235-1245 - [r2]Jo-Anne Ting, Franziska Meier, Sethu Vijayakumar, Stefan Schaal:
Locally Weighted Regression for Control. Encyclopedia of Machine Learning and Data Mining 2017: 759-772 - [i40]Sean Mason, Nicholas Rotella, Stefan Schaal, Ludovic Righetti:
Balancing and Walking Using Full Dynamics LQR Control With Contact Constraints. CoRR abs/1701.08179 (2017) - [i39]Alonso Marco, Felix Berkenkamp, Philipp Hennig, Angela P. Schoellig, Andreas Krause, Stefan Schaal, Sebastian Trimpe:
Virtual vs. Real: Trading Off Simulations and Physical Experiments in Reinforcement Learning with Bayesian Optimization. CoRR abs/1703.01250 (2017) - [i38]Andreas Doerr, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Sebastian Trimpe:
Model-Based Policy Search for Automatic Tuning of Multivariate PID Controllers. CoRR abs/1703.02899 (2017) - [i37]Yevgen Chebotar, Karol Hausman, Marvin Zhang, Gaurav S. Sukhatme, Stefan Schaal, Sergey Levine:
Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning. CoRR abs/1703.03078 (2017) - [i36]Daniel Kappler, Franziska Meier, Jan Issac, Jim Mainprice, Cristina Garcia Cifuentes, Manuel Wüthrich, Vincent Berenz, Stefan Schaal, Nathan D. Ratliff, Jeannette Bohg:
Real-time Perception meets Reactive Motion Generation. CoRR abs/1703.03512 (2017) - [i35]Karol Hausman, Yevgen Chebotar, Stefan Schaal, Gaurav S. Sukhatme, Joseph J. Lim:
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets. CoRR abs/1705.10479 (2017) - [i34]Franziska Meier, Daniel Kappler, Stefan Schaal:
Online Learning of a Memory for Learning Rates. CoRR abs/1709.06709 (2017) - [i33]Alonso Marco, Philipp Hennig, Stefan Schaal, Sebastian Trimpe:
On the Design of LQR Kernels for Efficient Controller Learning. CoRR abs/1709.07089 (2017) - [i32]Nicholas Rotella, Stefan Schaal, Ludovic Righetti:
Unsupervised Contact Learning for Humanoid Estimation and Control. CoRR abs/1709.07472 (2017) - [i31]Brahayam Ponton, Alexander Herzog, Stefan Schaal, Ludovic Righetti:
On Time Optimisation of Centroidal Momentum Dynamics. CoRR abs/1709.09265 (2017) - [i30]Daniel Kappler, Franziska Meier, Nathan D. Ratliff, Stefan Schaal:
A New Data Source for Inverse Dynamics Learning. CoRR abs/1710.02513 (2017) - [i29]Alina Kloss, Stefan Schaal, Jeannette Bohg:
Combining learned and analytical models for predicting action effects. CoRR abs/1710.04102 (2017) - [i28]Giovanni Sutanto, Zhe Su, Stefan Schaal, Franziska Meier:
Learning Sensor Feedback Models from Demonstrations via Phase-Modulated Neural Networks. CoRR abs/1710.08555 (2017) - [i27]Sean Mason, Nicholas Rotella, Stefan Schaal, Ludovic Righetti:
A MPC Walking Framework With External Contact Forces. CoRR abs/1712.09308 (2017) - 2016
- [j51]Alexander Herzog, Nicholas Rotella, Sean Mason, Felix Grimminger, Stefan Schaal, Ludovic Righetti:
Momentum control with hierarchical inverse dynamics on a torque-controlled humanoid. Auton. Robots 40(3): 473-491 (2016) - [j50]Nathan D. Ratliff, Franziska Meier, Daniel Kappler, Stefan Schaal:
DOOMED: Direct Online Optimization of Modeling Errors in Dynamics. Big Data 4(4): 253-268 (2016) - [j49]Manuel Wüthrich, Sebastian Trimpe, Cristina Garcia Cifuentes, Daniel Kappler, Stefan Schaal:
A new perspective and extension of the Gaussian Filter. Int. J. Robotics Res. 35(14): 1731-1749 (2016) - [j48]Nicola Vitiello, Auke Jan Ijspeert, Stefan Schaal:
Bioinspired Motor Control for Articulated Robots [From the Guest Editors]. IEEE Robotics Autom. Mag. 23(1): 20-21 (2016) - [c134]Manuel Wuthrich, Cristina Garcia Cifuentes, Sebastian Trimpe, Franziska Meier, Jeannette Bohg, Jan Issac, Stefan Schaal:
Robust Gaussian filtering using a pseudo measurement. ACC 2016: 3606-3613 - [c133]Zhe Su, Stefan Schaal, Gerald E. Loeb:
Surface tilt perception with a biomimetic tactile sensor. BioRob 2016: 936-943 - [c132]Sean Mason, Nicholas Rotella, Stefan Schaal, Ludovic Righetti:
Balancing and walking using full dynamics LQR control with contact constraints. Humanoids 2016: 63-68 - [c131]Brahayam Ponton, Alexander Herzog, Stefan Schaal, Ludovic Righetti:
A convex model of humanoid momentum dynamics for multi-contact motion generation. Humanoids 2016: 842-849 - [c130]Franziska Meier, Stefan Schaal:
Drifting Gaussian processes with varying neighborhood sizes for online model learning. ICRA 2016: 264-269 - [c129]Alonso Marco, Philipp Hennig, Jeannette Bohg, Stefan Schaal, Sebastian Trimpe:
Automatic LQR tuning based on Gaussian process global optimization. ICRA 2016: 270-277 - [c128]Jan Issac, Manuel Wüthrich, Cristina Garcia Cifuentes, Jeannette Bohg, Sebastian Trimpe, Stefan Schaal:
Depth-based object tracking using a Robust Gaussian Filter. ICRA 2016: 608-615 - [c127]Felix Widmaier, Daniel Kappler, Stefan Schaal, Jeannette Bohg:
Robot arm pose estimation by pixel-wise regression of joint angles. ICRA 2016: 616-623 - [c126]Nicholas Rotella, Sean Mason, Stefan Schaal, Ludovic Righetti:
Inertial sensor-based humanoid joint state estimation. ICRA 2016: 1825-1831 - [c125]Daniel Kappler, Stefan Schaal, Jeannette Bohg:
Optimizing for what matters: The top grasp hypothesis. ICRA 2016: 2167-2174 - [c124]Jeannette Bohg, Daniel Kappler, Stefan Schaal:
Exemplar-based prediction of global object shape from local shape similarity. ICRA 2016: 3398-3405 - [c123]Yevgen Chebotar, Karol Hausman, Zhe Su, Gaurav S. Sukhatme, Stefan Schaal:
Self-supervised regrasping using spatio-temporal tactile features and reinforcement learning. IROS 2016: 1960-1966 - [c122]Alexander Herzog, Stefan Schaal, Ludovic Righetti:
Structured contact force optimization for kino-dynamic motion generation. IROS 2016: 2703-2710 - [c121]Jim Mainprice, Nathan D. Ratliff, Stefan Schaal:
Warping the workspace geometry with electric potentials for motion optimization of manipulation tasks. IROS 2016: 3156-3163 - [c120]Franziska Meier, Daniel Kappler, Nathan D. Ratliff, Stefan Schaal:
Towards robust online inverse dynamics learning. IROS 2016: 4034-4039 - [c119]Alina Kloss, Daniel Kappler, Hendrik P. A. Lensch, Martin V. Butz, Stefan Schaal, Jeannette Bohg:
Learning where to search using visual attention. IROS 2016: 5238-5245 - [c118]Yevgen Chebotar, Karol Hausman, Oliver Kroemer, Gaurav S. Sukhatme, Stefan Schaal:
Generalizing Regrasping with Supervised Policy Learning. ISER 2016: 622-632 - [c117]Zhe Su, Oliver Kroemer, Gerald E. Loeb, Gaurav S. Sukhatme, Stefan Schaal:
Learning to Switch Between Sensorimotor Primitives Using Multimodal Haptic Signals. SAB 2016: 170-182 - [c116]Brahayam Pontón, Stefan Schaal, Ludovic Righetti:
On the Effects of Measurement Uncertainty in Optimal Control of Contact Interactions. WAFR 2016: 784-799 - [p2]Jan Peters, Daniel D. Lee, Jens Kober, Duy Nguyen-Tuong, J. Andrew Bagnell, Stefan Schaal:
Robot Learning. Springer Handbook of Robotics, 2nd Ed. 2016: 357-398 - [i26]Nicholas Rotella, Sean Mason, Stefan Schaal, Ludovic Righetti:
Inertial Sensor-Based Humanoid Joint State Estimation. CoRR abs/1602.05134 (2016) - [i25]