João Silvério

According to our database, João Silvério authored at least 37 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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, July, 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., June, 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

Interactive incremental learning of generalizable skills with local trajectory modulation.

Markus Knauer, Alin Albu-Schäffer, Freek Stulp, João Silvério

CoRR, 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

A probabilistic approach for learning and adapting shared control skills with the human in the loop.

Gabriel Quere, Freek Stulp, David Filliat, João Silvério

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.

Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

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

A Non-parametric Skill Representation with Soft Null Space Projectors for Fast Generalization.

João Silvério, Yanlong Huang

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Guiding Reinforcement Learning with Shared Control Templates.

Abhishek Padalkar, Gabriel Quere, Franz Steinmetz, Antonin Raffin, Matthias Nieuwenhuisen, João Silvério, Freek Stulp

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Ergodic Exploration Using Tensor Train: Applications in Insertion Tasks.

Suhan Shetty, João Silvério, Sylvain Calinon

IEEE Trans. Robotics, 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

Learning to Exploit Elastic Actuators for Quadruped Locomotion.

Antonin Raffin, Daniel Seidel, Jens Kober, Alin Albu-Schäffer, João Silvério, Freek Stulp

CoRR, 2022

2021

Toward Orientation Learning and Adaptation in Cartesian Space.

Yanlong Huang, Fares J. Abu-Dakka, João Silvério, Darwin G. Caldwell

IEEE Trans. Robotics, 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

Motion Mappings for Continuous Bilateral Teleoperation.

Xiao Gao, João Silvério, Emmanuel Pignat, Sylvain Calinon, Miao Li, Xiaohui Xiao

IEEE Robotics Autom. Lett., 2021

A Laser-based Dual-arm System for Precise Control of Collaborative Robots.

João Silvério, Guillaume Clivaz, Sylvain Calinon

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

A Laser-based Dual-arm System for Precise Control of Collaborative Robots.

João Silvério, Sylvain Calinon

CoRR, 2020

Fourier movement primitives: an approach for learning rhythmic robot skills from demonstrations.

Thibaut Kulak, João Silvério, Sylvain Calinon

Proceedings of the Robotics: Science and Systems XVI, 2020

2019

Learning Task Priorities from Demonstrations.

João Silvério, Sylvain Calinon, Leonel Dario Rozo, Darwin G. Caldwell

IEEE Trans. Robotics, 2019

Kernelized movement primitives.

Yanlong Huang, Leonel Dario Rozo, João Silvério, Darwin G. Caldwell

Int. J. Robotics Res., 2019

Towards Orientation Learning and Adaptation in Cartesian Space.

Yanlong Huang, Fares J. Abu-Dakka, João Silvério, Darwin G. Caldwell

CoRR, 2019

Uncertainty-Aware Imitation Learning using Kernelized Movement Primitives.

João Silvério, Yanlong Huang, Fares J. Abu-Dakka, Leonel Dario Rozo, Darwin G. Caldwell

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Non-parametric Imitation Learning of Robot Motor Skills.

Yanlong Huang, Leonel Dario Rozo, João Silvério, Darwin G. Caldwell

Proceedings of the International Conference on Robotics and Automation, 2019

Generalized Orientation Learning in Robot Task Space.

Yanlong Huang, Fares J. Abu-Dakka, João Silvério, Darwin G. Caldwell

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Probabilistic Learning of Torque Controllers from Kinematic and Force Constraints.

João Silvério, Yanlong Huang, Leonel Dario Rozo, Sylvain Calinon, Darwin G. Caldwell

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

An Uncertainty-Aware Minimal Intervention Control Strategy Learned from Demonstrations.

João Silvério, Yanlong Huang, Leonel Dario Rozo, Darwin G. Caldwell

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Towards Minimal Intervention Control with Competing Constraints.

Yanlong Huang, João Silvério, Darwin G. Caldwell

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Generalized Task-Parameterized Skill Learning.

Yanlong Huang, João Silvério, Leonel Dario Rozo, Darwin G. Caldwell

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Hybrid Probabilistic Trajectory Optimization Using Null-Space Exploration.

Yanlong Huang, João Silvério, Leonel Dario Rozo, Darwin G. Caldwell

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Bimanual Skill Learning with Pose and Joint Space Constraints.

João Silvério, Sylvain Calinon, Leonel Dario Rozo, Darwin G. Caldwell

Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018

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

A Learning from Demonstration Approach fusing Torque Controllers.

João Silvério, Yanlong Huang, Leonel Dario Rozo, Sylvain Calinon

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

Generalized Task-Parameterized Movement Primitives.

Yanlong Huang, João Silvério, Leonel Dario Rozo, Darwin G. Caldwell

CoRR, 2017

2016

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

2015

Learning bimanual end-effector poses from demonstrations using task-parameterized dynamical systems.

João Silvério, Leonel Dario Rozo, Sylvain Calinon, Darwin G. Caldwell

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015