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2020 – today
- 2024
[j12]Antonin Raffin, Olivier Sigaud, Jens Kober, Alin Albu-Schäffer, João Silvério, Freek Stulp:
An Open-Loop Baseline for Reinforcement Learning Locomotion Tasks. RLJ 1: 92-107 (2024)- [j11]Abhishek Padalkar, Gabriel Quere, Antonin Raffin, João Silvério, Freek Stulp:
Guiding real-world reinforcement learning for in-contact manipulation tasks with Shared Control Templates. Auton. Robots 48(4-5): 12 (2024) - [j10]Maximilian Mühlbauer
, Thomas Hulin, Bernhard M. Weber, Sylvain Calinon, Freek Stulp, Alin Albu-Schäffer, João Silvério:
A Probabilistic Approach to Multi-Modal Adaptive Virtual Fixtures. IEEE Robotics Autom. Lett. 9(6): 5298-5305 (2024) - [c16]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:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 2024: 6892-6903 - [c15]Gabriel Quere, Freek Stulp, David Filliat, João Silvério:
A probabilistic approach for learning and adapting shared control skills with the human in the loop. ICRA 2024: 15728-15734 - [i15]Markus Knauer, Alin Albu-Schäffer, Freek Stulp, João Silvério:
Interactive incremental learning of generalizable skills with local trajectory modulation. CoRR abs/2409.05655 (2024) - [i14]Tim R. Winter, Ashok M. Sundaram, Werner Friedl, Máximo A. Roa, Freek Stulp, João Silvério:
State- and context-dependent robotic manipulation and grasping via uncertainty-aware imitation learning. CoRR abs/2410.24035 (2024) - 2023
- [c14]João Silvério, Yanlong Huang:
A Non-parametric Skill Representation with Soft Null Space Projectors for Fast Generalization. ICRA 2023: 2988-2994 - [c13]Abhishek Padalkar, Gabriel Quere, Franz Steinmetz, Antonin Raffin, Matthias Nieuwenhuisen, João Silvério, Freek Stulp:
Guiding Reinforcement Learning with Shared Control Templates. ICRA 2023: 11531-11537 - [i13]Antonin Raffin, Olivier Sigaud, Jens Kober, Alin Albu-Schäffer, João Silvério, Freek Stulp:
A Simple Open-Loop Baseline for Reinforcement Learning Locomotion Tasks. CoRR abs/2310.05808 (2023) - 2022
- [j9]Emmanuel Pignat, João Silvério, Sylvain Calinon:
Learning from demonstration using products of experts: Applications to manipulation and task prioritization. Int. J. Robotics Res. 41(2): 163-188 (2022) - [j8]Suhan Shetty, João Silvério, Sylvain Calinon:
Ergodic Exploration Using Tensor Train: Applications in Insertion Tasks. IEEE Trans. Robotics 38(2): 906-921 (2022) - [i12]Antonin Raffin, Daniel Seidel, Jens Kober, Alin Albu-Schäffer, João Silvério, Freek Stulp:
Learning to Exploit Elastic Actuators for Quadruped Locomotion. CoRR abs/2209.07171 (2022) - [i11]João Silvério, Yanlong Huang:
A Non-parametric Skill Representation with Soft Null Space Projectors for Fast Generalization. CoRR abs/2209.08522 (2022) - 2021
- [j7]Xiao Gao, João Silvério, Emmanuel Pignat, Sylvain Calinon, Miao Li, Xiaohui Xiao:
Motion Mappings for Continuous Bilateral Teleoperation. IEEE Robotics Autom. Lett. 6(3): 5048-5055 (2021) - [j6]Fares J. Abu-Dakka, Yanlong Huang, João Silvério, Ville Kyrki:
A probabilistic framework for learning geometry-based robot manipulation skills. Robotics Auton. Syst. 141: 103761 (2021) - [j5]Yanlong Huang, Fares J. Abu-Dakka, João Silvério, Darwin G. Caldwell:
Toward Orientation Learning and Adaptation in Cartesian Space. IEEE Trans. Robotics 37(1): 82-98 (2021) - [c12]João Silvério, Guillaume Clivaz, Sylvain Calinon:
A Laser-based Dual-arm System for Precise Control of Collaborative Robots. ICRA 2021: 9183-9189 - [i10]Suhan Shetty, João Silvério, Sylvain Calinon:
Ergodic Exploration using Tensor Train: Applications in Insertion Tasks. CoRR abs/2101.04428 (2021) - 2020
- [c11]Thibaut Kulak, João Silvério, Sylvain Calinon:
Fourier movement primitives: an approach for learning rhythmic robot skills from demonstrations. Robotics: Science and Systems 2020 - [i9]Emmanuel Pignat, João Silvério, Sylvain Calinon:
Learning from demonstration using products of experts: applications to manipulation and task prioritization. CoRR abs/2010.03505 (2020) - [i8]João Silvério, Sylvain Calinon:
A Laser-based Dual-arm System for Precise Control of Collaborative Robots. CoRR abs/2011.01573 (2020) - [i7]Xiao Gao, João Silvério, Emmanuel Pignat, Sylvain Calinon, Miao Li, Xiaohui Xiao:
Motion Mappings for Continuous Bilateral Teleoperation. CoRR abs/2012.06268 (2020)
2010 – 2019
- 2019
- [j4]Yanlong Huang, Leonel Dario Rozo, João Silvério, Darwin G. Caldwell:
Kernelized movement primitives. Int. J. Robotics Res. 38(7) (2019) - [j3]João Silvério, Sylvain Calinon, Leonel Dario Rozo, Darwin G. Caldwell:
Learning Task Priorities from Demonstrations. IEEE Trans. Robotics 35(1): 78-94 (2019) - [c10]Yanlong Huang, Fares J. Abu-Dakka, João Silvério, Darwin G. Caldwell:
Generalized Orientation Learning in Robot Task Space. ICRA 2019: 2531-2537 - [c9]Yanlong Huang, Leonel Dario Rozo, João Silvério, Darwin G. Caldwell:
Non-parametric Imitation Learning of Robot Motor Skills. ICRA 2019: 5266-5272 - [c8]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 - [i6]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) - [i5]Yanlong Huang, Fares J. Abu-Dakka, João Silvério, Darwin G. Caldwell:
Towards Orientation Learning and Adaptation in Cartesian Space. CoRR abs/1907.03918 (2019) - 2018
- [c7]João Silvério, Sylvain Calinon, Leonel Dario Rozo, Darwin G. Caldwell:
Bimanual Skill Learning with Pose and Joint Space Constraints. Humanoids 2018: 153-159 - [c6]Yanlong Huang, João Silvério, Leonel Dario Rozo, Darwin G. Caldwell:
Generalized Task-Parameterized Skill Learning. ICRA 2018: 1-5 - [c5]Yanlong Huang, João Silvério, Leonel Dario Rozo, Darwin G. Caldwell:
Hybrid Probabilistic Trajectory Optimization Using Null-Space Exploration. ICRA 2018: 7226-7232 - [c4]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 - [c3]Yanlong Huang, João Silvério, Darwin G. Caldwell:
Towards Minimal Intervention Control with Competing Constraints. IROS 2018: 733-738 - [c2]João Silvério, Yanlong Huang, Leonel Dario Rozo, Darwin G. Caldwell:
An Uncertainty-Aware Minimal Intervention Control Strategy Learned from Demonstrations. IROS 2018: 6065-6071 - 2017
- [j2]Martijn J. A. Zeestraten, Ioannis Havoutis, João Silvério, Sylvain Calinon, Darwin G. Caldwell:
An Approach for Imitation Learning on Riemannian Manifolds. IEEE Robotics Autom. Lett. 2(3): 1240-1247 (2017) - [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
- [j1]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) - 2015
- [c1]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
Coauthor Index
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