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ORCIDLeonel Rozo
Leonel Dario Rozo
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2020 – today
- 2024
[j12]Leonel Rozo
, Andras G. Kupcsik, Philipp Schillinger, Meng Guo, Robert Krug, Niels van Duijkeren, Markus Spies, Patrick Kesper, Sabrina Hoppe, Hanna Ziesche, Mathias Bürger, Kai O. Arras:
The e-Bike motor assembly: Towards advanced robotic manipulation for flexible manufacturing. Robotics Comput. Integr. Manuf. 85: 102637 (2024)- [c37]Hadi Beik-Mohammadi, Søren Hauberg, Georgios Arvanitidis, Nadia Figueroa, Gerhard Neumann, Leonel Rozo:
Neural Contractive Dynamical Systems. ICLR 2024 - [c36]Noémie Jaquier, Leonel Rozo, Miguel González Duque, Viacheslav Borovitskiy, Tamim Asfour:
Bringing Motion Taxonomies to Continuous Domains via GPLVM on Hyperbolic manifolds. ICML 2024 - [c35]Noémie Jaquier, Leonel Rozo, Tamim Asfour:
Unraveling the Single Tangent Space Fallacy: An Analysis and Clarification for Applying Riemannian Geometry in Robot Learning. ICRA 2024: 242-249 - [i28]Hadi Beik-Mohammadi, Søren Hauberg, Georgios Arvanitidis, Nadia Figueroa, Gerhard Neumann, Leonel Rozo:
Neural Contractive Dynamical Systems. CoRR abs/2401.09352 (2024) - [i27]Max Braun, Noémie Jaquier, Leonel Rozo, Tamim Asfour:
Riemannian Flow Matching Policy for Robot Motion Learning. CoRR abs/2403.10672 (2024) - [i26]Peter Mostowsky, Vincent Dutordoir, Iskander Azangulov, Noémie Jaquier, Michael John Hutchinson, Aditya Ravuri, Leonel Rozo, Alexander Terenin, Viacheslav Borovitskiy:
The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs. CoRR abs/2407.08086 (2024) - [i25]Luis Augenstein, Noémie Jaquier, Tamim Asfour, Leonel Rozo:
On Probabilistic Pullback Metrics on Latent Hyperbolic Manifolds. CoRR abs/2410.20850 (2024) - 2023
- [j11]Hadi Beik-Mohammadi, Søren Hauberg, Georgios Arvanitidis, Gerhard Neumann, Leonel Rozo:
Reactive motion generation on learned Riemannian manifolds. Int. J. Robotics Res. 42(10): 729-754 (2023) - [c34]Hanna Ziesche, Leonel Rozo:
Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies. NeurIPS 2023 - [i24]Leonel Rozo, Andras G. Kupcsik, Philipp Schillinger, Meng Guo, Robert Krug, Niels van Duijkeren, Markus Spies, Patrick Kesper, Sabrina Hoppe, Hanna Ziesche, Mathias Bürger, Kai O. Arras:
The e-Bike Motor Assembly: Towards Advanced Robotic Manipulation for Flexible Manufacturing. CoRR abs/2304.10595 (2023) - [i23]Hanna Ziesche, Leonel Rozo:
Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies. CoRR abs/2305.10411 (2023) - [i22]Noémie Jaquier, Leonel Rozo, Tamim Asfour:
Unraveling the Single Tangent Space Fallacy: An Analysis and Clarification for Applying Riemannian Geometry in Robot Learning. CoRR abs/2310.07902 (2023) - 2022
- [c33]Jiechao Zhang, Hadi Beik-Mohammadi, Leonel Rozo:
Learning Riemannian Stable Dynamical Systems via Diffeomorphisms. CoRL 2022: 1211-1221 - [c32]Akshay Dhonthi, Philipp Schillinger, Leonel Rozo, Daniele Nardi:
Optimizing Demonstrated Robot Manipulation Skills for Temporal Logic Constraints. IROS 2022: 1255-1262 - [i21]Hadi Beik-Mohammadi, Søren Hauberg, Georgios Arvanitidis, Gerhard Neumann, Leonel Dario Rozo:
Reactive Motion Generation on Learned Riemannian Manifolds. CoRR abs/2203.07761 (2022) - [i20]Akshay Dhonthi, Philipp Schillinger, Leonel Dario Rozo, Daniele Nardi:
Optimizing Demonstrated Robot Manipulation Skills for Temporal Logic Constraints. CoRR abs/2209.03001 (2022) - [i19]Noémie Jaquier, Leonel Dario Rozo, Miguel González Duque, Viacheslav Borovitskiy, Tamim Asfour:
Bringing robotics taxonomies to continuous domains via GPLVM on hyperbolic manifolds. CoRR abs/2210.01672 (2022) - [i18]Jiechao Zhang, Hadi Beik-Mohammadi, Leonel Dario Rozo:
Learning Riemannian Stable Dynamical Systems via Diffeomorphisms. CoRR abs/2211.03169 (2022) - 2021
- [j10]Noémie Jaquier, Leonel Dario Rozo, Darwin G. Caldwell, Sylvain Calinon:
Geometry-aware manipulability learning, tracking, and transfer. Int. J. Robotics Res. 40(2-3) (2021) - [j9]Maria Pozzi, Virginia Ruiz Garate, Arash Ajoudani, Kensuke Harada, Monica Malvezzi, Leonel Dario Rozo, Máximo A. Roa:
Emerging Paradigms for Robotic Manipulation: From the Lab to the Productive World [From the Guest Editors]. IEEE Robotics Autom. Mag. 28(2): 10-12 (2021) - [c31]Leonel Rozo, Vedant Dave:
Orientation Probabilistic Movement Primitives on Riemannian Manifolds. CoRL 2021: 373-383 - [c30]Noémie Jaquier, Viacheslav Borovitskiy, Andrei Smolensky, Alexander Terenin, Tamim Asfour, Leonel Dario Rozo:
Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels. CoRL 2021: 794-805 - [c29]An T. Le, Meng Guo, Niels van Duijkeren, Leonel Dario Rozo, Robert Krug, Andras G. Kupcsik, Mathias Bürger:
Learning Forceful Manipulation Skills from Multi-modal Human Demonstrations. IROS 2021: 7770-7777 - [c28]Hadi Beik-Mohammadi, Søren Hauberg, Georgios Arvanitidis, Gerhard Neumann, Leonel Dario Rozo:
Learning Riemannian Manifolds for Geodesic Motion Skills. Robotics: Science and Systems 2021 - [i17]Hadi Beik-Mohammadi, Søren Hauberg, Georgios Arvanitidis, Gerhard Neumann, Leonel Dario Rozo:
Learning Riemannian Manifolds for Geodesic Motion Skills. CoRR abs/2106.04315 (2021) - [i16]An T. Le, Meng Guo, Niels van Duijkeren, Leonel Dario Rozo, Robert Krug, Andras G. Kupcsik, Mathias Bürger:
Learning Forceful Manipulation Skills from Multi-modal Human Demonstrations. CoRR abs/2109.04222 (2021) - [i15]Akshay Dhonthi, Philipp Schillinger, Leonel Dario Rozo, Daniele Nardi:
Study of Signal Temporal Logic Robustness Metrics for Robotic Tasks Optimization. CoRR abs/2110.00339 (2021) - [i14]Leonel Rozo, Vedant Dave:
Orientation Probabilistic Movement Primitives on Riemannian Manifolds. CoRR abs/2110.15036 (2021) - [i13]Noémie Jaquier, Viacheslav Borovitskiy, Andrei Smolensky, Alexander Terenin, Tamim Asfour, Leonel Dario Rozo:
Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels. CoRR abs/2111.01460 (2021) - 2020
- [c27]Leonel Dario Rozo, Meng Guo, Andras G. Kupcsik, Marco Todescato, Philipp Schillinger, Markus Giftthaler, Matthias Ochs, Markus Spies, Nicolai Waniek, Patrick Kesper, Mathias Bürger:
Learning and Sequencing of Object-Centric Manipulation Skills for Industrial Tasks. IROS 2020: 9072-9079 - [c26]Noémie Jaquier, Leonel Dario Rozo, Sylvain Calinon:
Analysis and Transfer of Human Movement Manipulability in Industry-like Activities. IROS 2020: 11131-11138 - [c25]Noémie Jaquier, Leonel Dario Rozo:
High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds. NeurIPS 2020 - [i12]Noémie Jaquier, Leonel Dario Rozo, Sylvain Calinon:
Analysis and Transfer of Human Movement Manipulability in Industry-like Activities. CoRR abs/2008.01402 (2020) - [i11]Leonel Dario Rozo, Meng Guo, Andras G. Kupcsik, Marco Todescato, Philipp Schillinger, Markus Giftthaler, Matthias Ochs, Markus Spies, Nicolai Waniek, Patrick Kesper, Mathias Bürger:
Learning and Sequencing of Object-Centric Manipulation Skills for Industrial Tasks. CoRR abs/2008.10471 (2020) - [i10]Noémie Jaquier, Leonel Dario Rozo:
High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds. CoRR abs/2010.10904 (2020)
2010 – 2019
- 2019
- [j8]Yanlong Huang, Leonel Dario Rozo, João Silvério, Darwin G. Caldwell:
Kernelized movement primitives. Int. J. Robotics Res. 38(7) (2019) - [j7]João Silvério, Sylvain Calinon, Leonel Dario Rozo, Darwin G. Caldwell:
Learning Task Priorities from Demonstrations. IEEE Trans. Robotics 35(1): 78-94 (2019) - [c24]Noémie Jaquier, Leonel Dario Rozo, Sylvain Calinon, Mathias Bürger:
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning. CoRL 2019: 233-246 - [c23]Brian Delhaisse, Leonel Dario Rozo, Darwin G. Caldwell:
PyRoboLearn: A Python Framework for Robot Learning Practitioners. CoRL 2019: 1348-1358 - [c22]Yanlong Huang, Leonel Dario Rozo, João Silvério, Darwin G. Caldwell:
Non-parametric Imitation Learning of Robot Motor Skills. ICRA 2019: 5266-5272 - [c21]João Silvério, Yanlong Huang, Fares J. Abu-Dakka, Leonel Dario Rozo, Darwin G. Caldwell:
Uncertainty-Aware Imitation Learning using Kernelized Movement Primitives. IROS 2019: 90-97 - [c20]Domingo Esteban, Leonel Dario Rozo, Darwin G. Caldwell:
Hierarchical Reinforcement Learning for Concurrent Discovery of Compound and Composable Policies. IROS 2019: 1818-1825 - [c19]Leonel Dario Rozo:
Interactive Trajectory Adaptation through Force-guided Bayesian Optimization. IROS 2019: 7596-7603 - [i9]João Silvério, Yanlong Huang, Fares J. Abu-Dakka, Leonel Dario Rozo, Darwin G. Caldwell:
Uncertainty-Aware Imitation Learning using Kernelized Movement Primitives. CoRR abs/1903.02114 (2019) - [i8]Domingo Esteban, Leonel Dario Rozo, Darwin G. Caldwell:
Hierarchical Reinforcement Learning for Concurrent Discovery of Compound and Composable Policies. CoRR abs/1905.09668 (2019) - [i7]Leonel Dario Rozo:
Interactive Trajectory Adaptation through Force-guided Bayesian Optimization. CoRR abs/1908.07263 (2019) - [i6]Noémie Jaquier, Leonel Dario Rozo, Sylvain Calinon, Mathias Bürger:
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning. CoRR abs/1910.04998 (2019) - 2018
- [j6]Leonel Dario Rozo, Heni Ben Amor, Sylvain Calinon, Anca D. Dragan, Dongheui Lee:
Special issue on learning for human-robot collaboration. Auton. Robots 42(5): 953-956 (2018) - [j5]Fares J. Abu-Dakka, Leonel Dario Rozo, Darwin G. Caldwell:
Force-based variable impedance learning for robotic manipulation. Robotics Auton. Syst. 109: 156-167 (2018) - [c18]Fares J. Abu-Dakka, Leonel Dario Rozo, Darwin G. Caldwell:
Force-Based Learning of Variable Impedance Skills for Robotic Manipulation. Humanoids 2018: 1-9 - [c17]Domingo Esteban, Leonel Dario Rozo, Darwin G. Caldwell:
Learning Deep Robot Controllers by Exploiting Successful and Failed Executions. Humanoids 2018: 1-9 - [c16]João Silvério, Sylvain Calinon, Leonel Dario Rozo, Darwin G. Caldwell:
Bimanual Skill Learning with Pose and Joint Space Constraints. Humanoids 2018: 153-159 - [c15]Emily-Jane Rolley-Parnell, Dimitrios Kanoulas, Arturo Laurenzi, Brian Delhaisse, Leonel Dario Rozo, Darwin G. Caldwell, Nikos G. Tsagarakis:
Bi-Manual Articulated Robot Teleoperation using an External RGB-D Range Sensor. ICARCV 2018: 298-304 - [c14]Yanlong Huang, João Silvério, Leonel Dario Rozo, Darwin G. Caldwell:
Generalized Task-Parameterized Skill Learning. ICRA 2018: 1-5 - [c13]Yanlong Huang, João Silvério, Leonel Dario Rozo, Darwin G. Caldwell:
Hybrid Probabilistic Trajectory Optimization Using Null-Space Exploration. ICRA 2018: 7226-7232 - [c12]João Silvério, Yanlong Huang, Leonel Dario Rozo, Sylvain Calinon, Darwin G. Caldwell:
Probabilistic Learning of Torque Controllers from Kinematic and Force Constraints. IROS 2018: 1-8 - [c11]João Silvério, Yanlong Huang, Leonel Dario Rozo, Darwin G. Caldwell:
An Uncertainty-Aware Minimal Intervention Control Strategy Learned from Demonstrations. IROS 2018: 6065-6071 - [c10]Noémie Jaquier, Leonel Dario Rozo, Darwin G. Caldwell, Sylvain Calinon:
Geometry-aware Tracking of Manipulability Ellipsoids. Robotics: Science and Systems 2018 - [i5]Noémie Jaquier, Leonel Dario Rozo, Darwin G. Caldwell, Sylvain Calinon:
Geometry-aware Manipulability Transfer. CoRR abs/1811.11050 (2018) - 2017
- [j4]Luka Peternel, Leonel Dario Rozo, Darwin G. Caldwell, Arash Ajoudani:
A Method for Derivation of Robot Task-Frame Control Authority from Repeated Sensory Observations. IEEE Robotics Autom. Lett. 2(2): 719-726 (2017) - [c9]Brian Delhaisse, Domingo Esteban, Leonel Dario Rozo, Darwin G. Caldwell:
Transfer learning of shared latent spaces between robots with similar kinematic structure. IJCNN 2017: 4142-4149 - [c8]Leonel Dario Rozo, Noémie Jaquier, Sylvain Calinon, Darwin G. Caldwell:
Learning manipulability ellipsoids for task compatibility in robot manipulation. IROS 2017: 3183-3189 - [i4]Yanlong Huang, João Silvério, Leonel Dario Rozo, Darwin G. Caldwell:
Generalized Task-Parameterized Movement Primitives. CoRR abs/1707.01696 (2017) - [i3]João Silvério, Sylvain Calinon, Leonel Dario Rozo, Darwin G. Caldwell:
Learning Competing Constraints and Task Priorities from Demonstrations of Bimanual Skills. CoRR abs/1707.06791 (2017) - [i2]Yanlong Huang, Leonel Dario Rozo, João Silvério, Darwin G. Caldwell:
Kernelized Movement Primitives. CoRR abs/1708.08638 (2017) - [i1]João Silvério, Yanlong Huang, Leonel Dario Rozo, Sylvain Calinon:
A Learning from Demonstration Approach fusing Torque Controllers. CoRR abs/1712.07249 (2017) - 2016
- [j3]Leonel Dario Rozo, João Silvério, Sylvain Calinon, Darwin G. Caldwell:
Learning Controllers for Reactive and Proactive Behaviors in Human-Robot Collaboration. Frontiers Robotics AI 3: 30 (2016) - [j2]Leonel Dario Rozo, Sylvain Calinon, Darwin G. Caldwell, Pablo Jiménez, Carme Torras:
Learning Physical Collaborative Robot Behaviors From Human Demonstrations. IEEE Trans. Robotics 32(3): 513-527 (2016) - 2015
- [c7]João Silvério, Leonel Dario Rozo, Sylvain Calinon, Darwin G. Caldwell:
Learning bimanual end-effector poses from demonstrations using task-parameterized dynamical systems. IROS 2015: 464-470 - [c6]Leonel Dario Rozo, Danilo Bruno, Sylvain Calinon, Darwin G. Caldwell:
Learning optimal controllers in human-robot cooperative transportation tasks with position and force constraints. IROS 2015: 1024-1030 - 2014
- [c5]Leonel Dario Rozo, Sylvain Calinon, Darwin G. Caldwell:
Learning force and position constraints in human-robot cooperative transportation. RO-MAN 2014: 619-624 - 2013
- [b1]Leonel Rozo:
Robot learning from demonstration of force-based manipulation tasks. Polytechnic University of Catalonia, Spain, 2013 - [j1]Leonel Dario Rozo, Pablo Jiménez, Carme Torras:
A robot learning from demonstration framework to perform force-based manipulation tasks. Intell. Serv. Robotics 6(1): 33-51 (2013) - [c4]Leonel Dario Rozo, Sylvain Calinon, Darwin G. Caldwell, Pablo Jiménez, Carme Torras:
Learning Collaborative Impedance-Based Robot Behaviors. AAAI 2013: 1422-1428 - [c3]Leonel Dario Rozo, Pablo Jiménez, Carme Torras:
Force-based robot learning of pouring skills using parametric hidden Markov models. RoMoCo 2013: 227-232 - 2011
- [c2]Leonel Dario Rozo, Pablo Jiménez, Carme Torras:
Robot learning from demonstration of force-based tasks with multiple solution trajectories. ICAR 2011: 124-129 - 2010
- [c1]Leonel Dario Rozo, Pablo Jiménez, Carme Torras:
Learning Force-Based Robot Skills from Haptic Demonstration. CCIA 2010: 331-340
Coauthor Index
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