Learning bimanual end-effector poses from demonstrations using task-parameterized dynamical systems. - João Silvério; Leonel Dario Rozo; Sylvain Calinon; Darwin G. Caldwell (IROS, 2015)

Learning Controllers for Reactive and Proactive Behaviors in Human-Robot Collaboration. - Leonel Dario Rozo; João Silvério; Sylvain Calinon; Darwin G. Caldwell (Frontiers Robotics AI, 2016)

Generalized Task-Parameterized Movement Primitives. - Yanlong Huang; João Silvério; Leonel Dario Rozo; Darwin G. Caldwell (CoRR, 2017)

Learning Competing Constraints and Task Priorities from Demonstrations of Bimanual Skills. - João Silvério; Sylvain Calinon; Leonel Dario Rozo; Darwin G. Caldwell (CoRR, 2017)

A Learning from Demonstration Approach fusing Torque Controllers. - João Silvério; Yanlong Huang; Leonel Dario Rozo; Sylvain Calinon (CoRR, 2017)

An Approach for Imitation Learning on Riemannian Manifolds. - Martijn J. A. Zeestraten; Ioannis Havoutis; João Silvério; Sylvain Calinon; Darwin G. Caldwell (IEEE Robotics Autom. Lett., 2017)

Bimanual Skill Learning with Pose and Joint Space Constraints. - João Silvério; Sylvain Calinon; Leonel Dario Rozo; Darwin G. Caldwell (Humanoids, 2018)

Hybrid Probabilistic Trajectory Optimization Using Null-Space Exploration. - Yanlong Huang; João Silvério; Leonel Dario Rozo; Darwin G. Caldwell (ICRA, 2018)

Generalized Task-Parameterized Skill Learning. - Yanlong Huang; João Silvério; Leonel Dario Rozo; Darwin G. Caldwell (ICRA, 2018)

Towards Minimal Intervention Control with Competing Constraints. - Yanlong Huang; João Silvério; Darwin G. Caldwell (IROS, 2018)

An Uncertainty-Aware Minimal Intervention Control Strategy Learned from Demonstrations. - João Silvério; Yanlong Huang; Leonel Dario Rozo; Darwin G. Caldwell (IROS, 2018)

Probabilistic Learning of Torque Controllers from Kinematic and Force Constraints. - João Silvério; Yanlong Huang; Leonel Dario Rozo; Sylvain Calinon; Darwin G. Caldwell (IROS, 2018)

Generalized Orientation Learning in Robot Task Space. - Yanlong Huang; Fares J. Abu-Dakka; João Silvério; Darwin G. Caldwell (ICRA, 2019)

Non-parametric Imitation Learning of Robot Motor Skills. - Yanlong Huang; Leonel Dario Rozo; João Silvério; Darwin G. Caldwell (ICRA, 2019)

Uncertainty-Aware Imitation Learning using Kernelized Movement Primitives. - João Silvério; Yanlong Huang; Fares J. Abu-Dakka; Leonel Dario Rozo; Darwin G. Caldwell (IROS, 2019)

Towards Orientation Learning and Adaptation in Cartesian Space. - Yanlong Huang; Fares J. Abu-Dakka; João Silvério; Darwin G. Caldwell (CoRR, 2019)

Kernelized movement primitives. - Yanlong Huang; Leonel Dario Rozo; João Silvério; Darwin G. Caldwell (Int. J. Robotics Res., 2019)

Learning Task Priorities from Demonstrations. - João Silvério; Sylvain Calinon; Leonel Dario Rozo; Darwin G. Caldwell (IEEE Trans. Robotics, 2019)

Fourier movement primitives: an approach for learning rhythmic robot skills from demonstrations. - Thibaut Kulak; João Silvério; Sylvain Calinon (Robotics: Science and Systems, 2020)

A Laser-based Dual-arm System for Precise Control of Collaborative Robots. - João Silvério; Sylvain Calinon (CoRR, 2020)

A Laser-based Dual-arm System for Precise Control of Collaborative Robots. - João Silvério; Guillaume Clivaz; Sylvain Calinon (ICRA, 2021)

Motion Mappings for Continuous Bilateral Teleoperation. - Xiao Gao; João Silvério; Emmanuel Pignat; Sylvain Calinon; Miao Li 002; Xiaohui Xiao (IEEE Robotics Autom. Lett., 2021)

A probabilistic framework for learning geometry-based robot manipulation skills. - Fares J. Abu-Dakka; Yanlong Huang; João Silvério; Ville Kyrki (Robotics Auton. Syst., 2021)

Toward Orientation Learning and Adaptation in Cartesian Space. - Yanlong Huang; Fares J. Abu-Dakka; João Silvério; Darwin G. Caldwell (IEEE Trans. Robotics, 2021)

Learning to Exploit Elastic Actuators for Quadruped Locomotion. - Antonin Raffin; Daniel Seidel; Jens Kober; Alin Albu-Schäffer; João Silvério; Freek Stulp (CoRR, 2022)

Learning from demonstration using products of experts: Applications to manipulation and task prioritization. - Emmanuel Pignat; João Silvério; Sylvain Calinon (Int. J. Robotics Res., 2022)

Ergodic Exploration Using Tensor Train: Applications in Insertion Tasks. - Suhan Shetty; João Silvério; Sylvain Calinon (IEEE Trans. Robotics, 2022)

Guiding Reinforcement Learning with Shared Control Templates. - Abhishek Padalkar; Gabriel Quere; Franz Steinmetz; Antonin Raffin; Matthias Nieuwenhuisen; João Silvério; Freek Stulp (ICRA, 2023)

A Non-parametric Skill Representation with Soft Null Space Projectors for Fast Generalization. - João Silvério; Yanlong Huang (ICRA, 2023)

A Simple Open-Loop Baseline for Reinforcement Learning Locomotion Tasks. - Antonin Raffin; Olivier Sigaud; Jens Kober; Alin Albu-Schäffer; João Silvério; Freek Stulp (CoRR, 2023)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

A probabilistic approach for learning and adapting shared control skills with the human in the loop. - Gabriel Quere; Freek Stulp; David Filliat; João Silvério (ICRA, 2024)

An Open-Loop Baseline for Reinforcement Learning Locomotion Tasks. - Antonin Raffin; Olivier Sigaud; Jens Kober; Alin Albu-Schäffer; João Silvério; Freek Stulp (RLJ, 2024)

State- and context-dependent robotic manipulation and grasping via uncertainty-aware imitation learning. - Tim R. Winter; Ashok M. Sundaram; Werner Friedl; Máximo A. Roa; Freek Stulp; João Silvério (CoRR, 2024)

A Probabilistic Approach to Multi-Modal Adaptive Virtual Fixtures. - Maximilian Mühlbauer; Thomas Hulin; Bernhard M. Weber; Sylvain Calinon; Freek Stulp; Alin Albu-Schäffer; João Silvério (IEEE Robotics Autom. Lett., 2024)

Guiding real-world reinforcement learning for in-contact manipulation tasks with Shared Control Templates. - Abhishek Padalkar; Gabriel Quere; Antonin Raffin; João Silvério; Freek Stulp (Auton. Robots, 2024)

Interactive Incremental Learning of Generalizable Skills With Local Trajectory Modulation. - Markus Knauer; Alin Albu-Schäffer; Freek Stulp; João Silvério (IEEE Robotics Autom. Lett., 2025)

A Unified Framework for Probabilistic Dynamic-, Trajectory- and Vision-based Virtual Fixtures. - Maximilian Mühlbauer; Freek Stulp; Sylvain Calinon; Alin Albu-Schäffer; João Silvério (CoRR, 2025)

Towards Safe and Efficient Learning in the Wild: Guiding RL With Constrained Uncertainty-Aware Movement Primitives. - Abhishek Padalkar; Freek Stulp; Gerhard Neumann; João Silvério (IEEE Robotics Autom. Lett., 2025)