| Learning adaptive dressing assistance from human demonstration E Pignat, S Calinon Robotics and Autonomous Systems 93, 61-75, 2017 | 46 | 2017 |
| Joining high-level symbolic planning with low-level motion primitives in adaptive hri: Application to dressing assistance G Canal, E Pignat, G Alenyà, S Calinon, C Torras 2018 IEEE International Conference on Robotics and Automation (ICRA), 3273-3278, 2018 | 20 | 2018 |
| Bayesian Gaussian mixture model for robotic policy imitation E Pignat, S Calinon IEEE Robotics and Automation Letters 4 (4), 4452-4458, 2019 | 15 | 2019 |
| Memory of motion for warm-starting trajectory optimization TS Lembono, A Paolillo, E Pignat, S Calinon IEEE Robotics and Automation Letters 5 (2), 2594-2601, 2020 | 12 | 2020 |
| Temporal super-resolution microscopy using a hue-encoded shutter C Jaques, E Pignat, S Calinon, M Liebling Biomedical optics express 10 (9), 4727-4741, 2019 | 6 | 2019 |
| Improving dual-arm assembly by master-slave compliance M Suomalainen, S Calinon, E Pignat, V Kyrki 2019 International Conference on Robotics and Automation (ICRA), 8676-8682, 2019 | 6 | 2019 |
| Active improvement of control policies with Bayesian Gaussian mixture model H Girgin, E Pignat, N Jaquier, S Calinon 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 4 | 2020 |
| Learning from demonstration using products of experts: Applications to manipulation and task prioritization E Pignat, J Silvério, S Calinon arXiv preprint arXiv:2010.03505, 2020 | 2 | 2020 |
| Variational Inference with Mixture Model Approximation for Applications in Robotics E Pignat, T Lembono, S Calinon 2020 IEEE International Conference on Robotics and Automation (ICRA), 3395-3401, 2020 | 2* | 2020 |
| Learning Constrained Distributions of Robot Configurations with Generative Adversarial Network TS Lembono, E Pignat, J Jankowski, S Calinon IEEE Robotics and Automation Letters 6 (2), 4233-4240, 2021 | 1 | 2021 |
| Generative adversarial training of product of policies for robust and adaptive movement primitives E Pignat, H Girgin, S Calinon In Proc. Conference on Robot Learning (CoRL), 2020 | 1 | 2020 |
| Interaction-limited inverse reinforcement learning M Troussard, E Pignat, P Kamalaruban, S Calinon, V Cevher arXiv preprint arXiv:2007.00425, 2020 | 1 | 2020 |
| Motion Mappings for Continuous Bilateral Teleoperation X Gao, J Silvério, E Pignat, S Calinon, M Li, X Xiao IEEE Robotics and Automation Letters 6 (3), 5048-5055, 2021 | | 2021 |
| Product of experts for robot learning from demonstration E Pignat EPFL, 2021 | | 2021 |
| Generative Adversarial Network to Learn Valid Distributions of Robot Configurations for Inverse Kinematics and Constrained Motion Planning T Santoso Lembono, E Pignat, J Jankowski, S Calinon arXiv e-prints, arXiv: 2011.05717, 2020 | | 2020 |
| Generative Adversarial Network to Learn Valid Distributions of Robot Configurations for Inverse Kinematics and Constrained Motion Planning TS Lembono, E Pignat, J Jankowski, S Calinon CoRR, 2020 | | 2020 |
