Learning adaptive dressing assistance from human demonstration E Pignat, S Calinon Robotics and Autonomous Systems 93, 61-75, 2017 | 40 | 2017 |
Joining high-level symbolic planning with low-level motion primitives in adaptive HRI: application to dressing assistance G Canal, E Pignat, G Alenyŕ, S Calinon, C Torras 2018 IEEE International Conference on Robotics and Automation (ICRA), 1-9, 2018 | 16 | 2018 |
Bayesian Gaussian mixture model for robotic policy imitation E Pignat, S Calinon IEEE Robotics and Automation Letters 4 (4), 4452-4458, 2019 | 9 | 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 | 8 | 2020 |
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 | 7 | 2019 |
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 | 4 | 2019 |
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 | 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 |
Variational Inference with Mixture Model Approximation for Applications in Robotics E Pignat, T Lembono, S Calinon International Conference on Robotics and Automation, 2020 | 1* | 2020 |
Motion Mappings for Continuous Bilateral Teleoperation X Gao, J Silvério, E Pignat, S Calinon, M Li, X Xiao arXiv preprint arXiv:2012.06268, 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 arXiv preprint arXiv:2011.05717, 2020 | | 2020 |
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 | | 2020 |
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 |
Active Improvement of Control Policies with Bayesian Gaussian Mixture Model H Girgin, E Pignat, N Jaquier, S Calinon arXiv preprint arXiv:2008.02540, 2020 | | 2020 |