Follow
João Silvério
João Silvério
Verified email at dlr.de - Homepage
Title
Cited by
Cited by
Year
Open X-Embodiment: Robotic learning datasets and RT-X models
A O’Neill, A Rehman, A Maddukuri, A Gupta, A Padalkar, A Lee, A Pooley, ...
2024 IEEE International Conference on Robotics and Automation (ICRA), 6892-6903, 2024
3852024
Kernelized movement primitives
Y Huang, L Rozo, J Silvério, DG Caldwell
International Journal of Robotics Research (IJRR), 2019
2372019
An approach for imitation learning on Riemannian manifolds
MJA Zeestraten, I Havoutis, J Silvério, S Calinon, DG Caldwell
IEEE Robotics and Automation Letters 2 (3), 1240-1247, 2017
1182017
Learning bimanual end-effector poses from demonstrations using task-parameterized dynamical systems
J Silvério, L Rozo, S Calinon, DG Caldwell
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015
902015
Learning task priorities from demonstrations
J Silvério, S Calinon, L Rozo, DG Caldwell
IEEE Transactions on Robotics (T-RO) 35 (1), 78-94, 2019
69*2019
Learning controllers for reactive and proactive behaviors in human-robot collaboration
L Rozo, J Silvério, S Calinon, DG Caldwell
Frontiers in Robotics and AI 3, 30, 2016
652016
Towards orientation learning and adaptation in Cartesian space
Y Huang, FJ Abu-Dakka, J Silvério, DG Caldwell
IEEE Transactions on Robotics (T-RO), 2020
602020
Generalized task-parameterized skill learning
Y Huang, J Silvério, L Rozo, DG Caldwell
IEEE International Conference on Robotics and Automation (ICRA), 2018
532018
Uncertainty-aware imitation learning using kernelized movement primitives
J Silvério, Y Huang, FJ Abu-Dakka, L Rozo, DG Caldwell
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019
382019
Probabilistic learning of torque controllers from kinematic and force constraints
J Silvério, Y Huang, L Rozo, S Calinon, DG Caldwell
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018
372018
A probabilistic framework for learning geometry-based robot manipulation skills
FJ Abu-Dakka, Y Huang, J Silvério, V Kyrki
Robotics and Autonomous Systems 141, 103761, 2021
292021
Motion mappings for continuous bilateral teleoperation
X Gao, J Silvério, E Pignat, S Calinon, M Li, X Xiao
IEEE Robotics and Automation Letters (RA-L), 2021
282021
Ergodic exploration using tensor train: applications in insertion tasks
S Shetty, J Silvério, S Calinon
IEEE Transactions on Robotics (T-RO), 2021
252021
Generalized orientation learning in robot task space
Y Huang, FJ Abu-Dakka, J Silvério, DG Caldwell
IEEE International Conference on Robotics and Automation (ICRA), 2019
232019
Learning from demonstration using products of experts: applications to manipulation and task prioritization
E Pignat, J Silvério, S Calinon
International Journal of Robotics Research (IJRR), 2021
212021
Fourier movement primitives: an approach for learning rhythmic robot skills from demonstrations
T Kulak, J Silvério, S Calinon
Robotics: Science and Systems (R:SS), 2020
202020
Non-parametric imitation learning of robot motor skills
Y Huang, L Rozo, J Silvério, DG Caldwell
IEEE International Conference on Robotics and Automation (ICRA), 2019
182019
Hybrid probabilistic trajectory optimization using null-space exploration
Y Huang, J Silvério, L Rozo, DG Caldwell
IEEE International Conference on Robotics and Automation (ICRA), 2018
132018
Towards minimal intervention control with competing constraints
Y Huang, J Silvério, DG Caldwell
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018
102018
An uncertainty-aware minimal intervention control strategy learned from demonstrations
J Silvério, Y Huang, L Rozo, DG Caldwell
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018
102018
The system can't perform the operation now. Try again later.
Articles 1–20