Emmanuel Pignat
Emmanuel Pignat
Verified email at epfl.ch
Title
Cited by
Cited by
Year
Learning adaptive dressing assistance from human demonstration
E Pignat, S Calinon
Robotics and Autonomous Systems 93, 61-75, 2017
402017
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
162018
Bayesian Gaussian mixture model for robotic policy imitation
E Pignat, S Calinon
IEEE Robotics and Automation Letters 4 (4), 4452-4458, 2019
92019
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
82020
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
72019
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
42019
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
12020
Interaction-limited inverse reinforcement learning
M Troussard, E Pignat, P Kamalaruban, S Calinon, V Cevher
arXiv preprint arXiv:2007.00425, 2020
12020
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
The system can't perform the operation now. Try again later.
Articles 1–14