João Silvério

52 papers A* 9A 5Journal 36Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Ergodic Approach to Robotic Surface Finishing With Learned Motion Preferences. IEEE Trans. Robotics Stefan Schneyer, Korbinian Nottensteiner, Alin Albu-Schäffer, Freek Stulp, João Silvério
2026	J	`jnl`	Are Foundation Models the Route to Full-Stack Transfer in Robotics? CoRR Freek Stulp, Samuel Bustamante, João Silvério, Alin Albu-Schäffer, Jeannette Bohg, Shuran Song
2026	J	`jnl`	IROSA: Interactive Robot Skill Adaptation Using Natural Language. IEEE Robotics Autom. Lett. Markus Knauer, Samuel Bustamante-Gomez, Thomas Eiband, Alin Albu-Schäffer, Freek Stulp, João Silvério
2026	J	`jnl`	IROSA: Interactive Robot Skill Adaptation using Natural Language. CoRR Markus Knauer, Samuel Bustamante, Thomas Eiband, Alin Albu-Schäffer, Freek Stulp, João Silvério
2026	J	`jnl`	Interactive Learning via Physical Human Feedback Using Uncertainty-Aware Energy Tanks. IEEE Robotics Autom. Lett. Edoardo Fiorini, Markus Knauer, Thomas Eiband, Maged Iskandar, João Silvério
2025	J	`jnl`	A Unified Framework for Probabilistic Dynamic-, Trajectory- and Vision-based Virtual Fixtures. CoRR Maximilian Mühlbauer, Freek Stulp, Sylvain Calinon, Alin Albu-Schäffer, João Silvério
2025	J	`jnl`	Interactive Incremental Learning of Generalizable Skills With Local Trajectory Modulation. IEEE Robotics Autom. Lett. Markus Knauer, Alin Albu-Schäffer, Freek Stulp, João Silvério
2025	J	`jnl`	Towards Safe and Efficient Learning in the Wild: Guiding RL With Constrained Uncertainty-Aware Movement Primitives. IEEE Robotics Autom. Lett. Abhishek Padalkar, Freek Stulp, Gerhard Neumann, João Silvério
2024	J	`jnl`	A Probabilistic Approach to Multi-Modal Adaptive Virtual Fixtures. IEEE Robotics Autom. Lett. Maximilian Mühlbauer, Thomas Hulin, Bernhard M. Weber, Sylvain Calinon, Freek Stulp, Alin Albu-Schäffer, João Silvério
2024	A*	`conf`	A probabilistic approach for learning and adapting shared control skills with the human in the loop. ICRA Gabriel Quere, Freek Stulp, David Filliat, João Silvério
2024	J	`jnl`	An Open-Loop Baseline for Reinforcement Learning Locomotion Tasks. RLJ Antonin Raffin, Olivier Sigaud, Jens Kober, Alin Albu-Schäffer, João Silvério, Freek Stulp
2024	J	`jnl`	Guiding real-world reinforcement learning for in-contact manipulation tasks with Shared Control Templates. Auton. Robots Abhishek Padalkar, Gabriel Quere, Antonin Raffin, João Silvério, Freek Stulp
2024	J	`jnl`	Interactive incremental learning of generalizable skills with local trajectory modulation. CoRR Markus Knauer, Alin Albu-Schäffer, Freek Stulp, João Silvério
2024	A*	`conf`	Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 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 E. 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 T. 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-Gomez, 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
2024	J	`jnl`	State- and context-dependent robotic manipulation and grasping via uncertainty-aware imitation learning. CoRR Tim R. Winter, Ashok M. Sundaram, Werner Friedl, Máximo A. Roa, Freek Stulp, João Silvério
2023	A*	`conf`	A Non-parametric Skill Representation with Soft Null Space Projectors for Fast Generalization. ICRA João Silvério, Yanlong Huang
2023	J	`jnl`	A Simple Open-Loop Baseline for Reinforcement Learning Locomotion Tasks. CoRR Antonin Raffin, Olivier Sigaud, Jens Kober, Alin Albu-Schäffer, João Silvério, Freek Stulp
2023	A*	`conf`	Guiding Reinforcement Learning with Shared Control Templates. ICRA Abhishek Padalkar, Gabriel Quere, Franz Steinmetz, Antonin Raffin, Matthias Nieuwenhuisen, João Silvério, Freek Stulp
2022	J	`jnl`	A Non-parametric Skill Representation with Soft Null Space Projectors for Fast Generalization. CoRR João Silvério, Yanlong Huang
2022	J	`jnl`	Bilateral teleoperation with object-adaptive mapping. Complex Intell. Syst. Xiao Gao, João Silvério, Sylvain Calinon, Miao Li, Xiaohui Xiao
2022	J	`jnl`	Ergodic Exploration Using Tensor Train: Applications in Insertion Tasks. IEEE Trans. Robotics Suhan Shetty, João Silvério, Sylvain Calinon
2022	J	`jnl`	Learning from demonstration using products of experts: Applications to manipulation and task prioritization. Int. J. Robotics Res. Emmanuel Pignat, João Silvério, Sylvain Calinon
2022	J	`jnl`	Learning to Exploit Elastic Actuators for Quadruped Locomotion. CoRR Antonin Raffin, Daniel Seidel, Jens Kober, Alin Albu-Schäffer, João Silvério, Freek Stulp
2021	A*	`conf`	A Laser-based Dual-arm System for Precise Control of Collaborative Robots. ICRA João Silvério, Guillaume Clivaz, Sylvain Calinon
2021	J	`jnl`	A probabilistic framework for learning geometry-based robot manipulation skills. Robotics Auton. Syst. Fares J. Abu-Dakka, Yanlong Huang, João Silvério, Ville Kyrki
2021	J	`jnl`	Ergodic Exploration using Tensor Train: Applications in Insertion Tasks. CoRR Suhan Shetty, João Silvério, Sylvain Calinon
2021	J	`jnl`	Motion Mappings for Continuous Bilateral Teleoperation. IEEE Robotics Autom. Lett. Xiao Gao, João Silvério, Emmanuel Pignat, Sylvain Calinon, Miao Li, Xiaohui Xiao
2021	J	`jnl`	Toward Orientation Learning and Adaptation in Cartesian Space. IEEE Trans. Robotics Yanlong Huang, Fares J. Abu-Dakka, João Silvério, Darwin G. Caldwell
2020	J	`jnl`	A Laser-based Dual-arm System for Precise Control of Collaborative Robots. CoRR João Silvério, Sylvain Calinon
2020	—	`conf`	Fourier movement primitives: an approach for learning rhythmic robot skills from demonstrations. Robotics: Science and Systems Thibaut Kulak, João Silvério, Sylvain Calinon
2020	J	`jnl`	Learning from demonstration using products of experts: applications to manipulation and task prioritization. CoRR Emmanuel Pignat, João Silvério, Sylvain Calinon
2020	J	`jnl`	Motion Mappings for Continuous Bilateral Teleoperation. CoRR Xiao Gao, João Silvério, Emmanuel Pignat, Sylvain Calinon, Miao Li, Xiaohui Xiao
2019	A*	`conf`	Generalized Orientation Learning in Robot Task Space. ICRA Yanlong Huang, Fares J. Abu-Dakka, João Silvério, Darwin G. Caldwell
2019	J	`jnl`	Kernelized movement primitives. Int. J. Robotics Res. Yanlong Huang, Leonel Dario Rozo, João Silvério, Darwin G. Caldwell
2019	J	`jnl`	Learning Task Priorities from Demonstrations. IEEE Trans. Robotics João Silvério, Sylvain Calinon, Leonel Dario Rozo, Darwin G. Caldwell
2019	A*	`conf`	Non-parametric Imitation Learning of Robot Motor Skills. ICRA Yanlong Huang, Leonel Dario Rozo, João Silvério, Darwin G. Caldwell
2019	J	`jnl`	Towards Orientation Learning and Adaptation in Cartesian Space. CoRR Yanlong Huang, Fares J. Abu-Dakka, João Silvério, Darwin G. Caldwell
2019	A	`conf`	Uncertainty-Aware Imitation Learning using Kernelized Movement Primitives. IROS João Silvério, Yanlong Huang, Fares J. Abu-Dakka, Leonel Dario Rozo, Darwin G. Caldwell
2019	J	`jnl`	Uncertainty-Aware Imitation Learning using Kernelized Movement Primitives. CoRR João Silvério, Yanlong Huang, Fares J. Abu-Dakka, Leonel Dario Rozo, Darwin G. Caldwell
2018	A	`conf`	An Uncertainty-Aware Minimal Intervention Control Strategy Learned from Demonstrations. IROS João Silvério, Yanlong Huang, Leonel Dario Rozo, Darwin G. Caldwell
2018	—	`conf`	Bimanual Skill Learning with Pose and Joint Space Constraints. Humanoids João Silvério, Sylvain Calinon, Leonel Dario Rozo, Darwin G. Caldwell
2018	A*	`conf`	Generalized Task-Parameterized Skill Learning. ICRA Yanlong Huang, João Silvério, Leonel Dario Rozo, Darwin G. Caldwell
2018	A*	`conf`	Hybrid Probabilistic Trajectory Optimization Using Null-Space Exploration. ICRA Yanlong Huang, João Silvério, Leonel Dario Rozo, Darwin G. Caldwell
2018	A	`conf`	Probabilistic Learning of Torque Controllers from Kinematic and Force Constraints. IROS João Silvério, Yanlong Huang, Leonel Dario Rozo, Sylvain Calinon, Darwin G. Caldwell
2018	A	`conf`	Towards Minimal Intervention Control with Competing Constraints. IROS Yanlong Huang, João Silvério, Darwin G. Caldwell
2017	J	`jnl`	A Learning from Demonstration Approach fusing Torque Controllers. CoRR João Silvério, Yanlong Huang, Leonel Dario Rozo, Sylvain Calinon
2017	J	`jnl`	An Approach for Imitation Learning on Riemannian Manifolds. IEEE Robotics Autom. Lett. Martijn J. A. Zeestraten, Ioannis Havoutis, João Silvério, Sylvain Calinon, Darwin G. Caldwell
2017	J	`jnl`	Generalized Task-Parameterized Movement Primitives. CoRR Yanlong Huang, João Silvério, Leonel Dario Rozo, Darwin G. Caldwell
2017	J	`jnl`	Kernelized Movement Primitives. CoRR Yanlong Huang, Leonel Dario Rozo, João Silvério, Darwin G. Caldwell
2017	J	`jnl`	Learning Competing Constraints and Task Priorities from Demonstrations of Bimanual Skills. CoRR João Silvério, Sylvain Calinon, Leonel Dario Rozo, Darwin G. Caldwell
2016	J	`jnl`	Learning Controllers for Reactive and Proactive Behaviors in Human-Robot Collaboration. Frontiers Robotics AI Leonel Dario Rozo, João Silvério, Sylvain Calinon, Darwin G. Caldwell
2015	A	`conf`	Learning bimanual end-effector poses from demonstrations using task-parameterized dynamical systems. IROS João Silvério, Leonel Dario Rozo, Sylvain Calinon, Darwin G. Caldwell