Leonel Rozo

Orcid: 0000-0001-5970-9135

According to our database1, Leonel Rozo authored at least 56 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
The e-Bike motor assembly: Towards advanced robotic manipulation for flexible manufacturing.
Robotics Comput. Integr. Manuf., February, 2024

Riemannian Flow Matching Policy for Robot Motion Learning.
CoRR, 2024

Neural Contractive Dynamical Systems.
CoRR, 2024

2023
Reactive motion generation on learned Riemannian manifolds.
Int. J. Robotics Res., September, 2023

Unraveling the Single Tangent Space Fallacy: An Analysis and Clarification for Applying Riemannian Geometry in Robot Learning.
CoRR, 2023

Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Bringing robotics taxonomies to continuous domains via GPLVM on hyperbolic manifolds.
CoRR, 2022

Optimizing Demonstrated Robot Manipulation Skills for Temporal Logic Constraints.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Learning Riemannian Stable Dynamical Systems via Diffeomorphisms.
Proceedings of the Conference on Robot Learning, 2022

2021
Emerging Paradigms for Robotic Manipulation: From the Lab to the Productive World [From the Guest Editors].
IEEE Robotics Autom. Mag., 2021

Geometry-aware manipulability learning, tracking, and transfer.
Int. J. Robotics Res., 2021

Study of Signal Temporal Logic Robustness Metrics for Robotic Tasks Optimization.
CoRR, 2021

Learning Riemannian Manifolds for Geodesic Motion Skills.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Learning Forceful Manipulation Skills from Multi-modal Human Demonstrations.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Orientation Probabilistic Movement Primitives on Riemannian Manifolds.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning and Sequencing of Object-Centric Manipulation Skills for Industrial Tasks.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Analysis and Transfer of Human Movement Manipulability in Industry-like Activities.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019
Learning Task Priorities from Demonstrations.
IEEE Trans. Robotics, 2019

Kernelized movement primitives.
Int. J. Robotics Res., 2019

Uncertainty-Aware Imitation Learning using Kernelized Movement Primitives.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Interactive Trajectory Adaptation through Force-guided Bayesian Optimization.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Hierarchical Reinforcement Learning for Concurrent Discovery of Compound and Composable Policies.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Non-parametric Imitation Learning of Robot Motor Skills.
Proceedings of the International Conference on Robotics and Automation, 2019

Bayesian Optimization Meets Riemannian Manifolds in Robot Learning.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

PyRoboLearn: A Python Framework for Robot Learning Practitioners.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018
Force-based variable impedance learning for robotic manipulation.
Robotics Auton. Syst., 2018

Geometry-aware Manipulability Transfer.
CoRR, 2018

Special issue on learning for human-robot collaboration.
Auton. Robots, 2018

Geometry-aware Tracking of Manipulability Ellipsoids.
Proceedings of the Robotics: Science and Systems XIV, 2018

Probabilistic Learning of Torque Controllers from Kinematic and Force Constraints.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

An Uncertainty-Aware Minimal Intervention Control Strategy Learned from Demonstrations.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Generalized Task-Parameterized Skill Learning.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Hybrid Probabilistic Trajectory Optimization Using Null-Space Exploration.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Bi-Manual Articulated Robot Teleoperation using an External RGB-D Range Sensor.
Proceedings of the 15th International Conference on Control, 2018

Bimanual Skill Learning with Pose and Joint Space Constraints.
Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018

Learning Deep Robot Controllers by Exploiting Successful and Failed Executions.
Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018

Force-Based Learning of Variable Impedance Skills for Robotic Manipulation.
Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018

2017
A Method for Derivation of Robot Task-Frame Control Authority from Repeated Sensory Observations.
IEEE Robotics Autom. Lett., 2017

A Learning from Demonstration Approach fusing Torque Controllers.
CoRR, 2017

Learning Competing Constraints and Task Priorities from Demonstrations of Bimanual Skills.
CoRR, 2017

Generalized Task-Parameterized Movement Primitives.
CoRR, 2017

Learning manipulability ellipsoids for task compatibility in robot manipulation.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Transfer learning of shared latent spaces between robots with similar kinematic structure.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Learning Physical Collaborative Robot Behaviors From Human Demonstrations.
IEEE Trans. Robotics, 2016

Learning Controllers for Reactive and Proactive Behaviors in Human-Robot Collaboration.
Frontiers Robotics AI, 2016

2015
Learning bimanual end-effector poses from demonstrations using task-parameterized dynamical systems.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Learning optimal controllers in human-robot cooperative transportation tasks with position and force constraints.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

2014
Learning force and position constraints in human-robot cooperative transportation.
Proceedings of the 23rd IEEE International Symposium on Robot and Human Interactive Communication, 2014

2013
Robot learning from demonstration of force-based manipulation tasks.
PhD thesis, 2013

A robot learning from demonstration framework to perform force-based manipulation tasks.
Intell. Serv. Robotics, 2013

Force-based robot learning of pouring skills using parametric hidden Markov models.
Proceedings of the 9th Workshop on Robot Motion and Control, 2013

Learning Collaborative Impedance-Based Robot Behaviors.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2011
Robot learning from demonstration of force-based tasks with multiple solution trajectories.
Proceedings of the 15th International Conference on Advanced Robotics: New Boundaries for Robotics, 2011

2010
Learning Force-Based Robot Skills from Haptic Demonstration.
Proceedings of the Artificial Intelligence Research and Development, 2010


  Loading...