João Silvério

Principal Researcher, German Aerospace Center

Joined

September 2022

Names

João Silvério (Preferred)

Emails

****@dlr.de (Confirmed)

****@proton.me (Confirmed)

Personal Links

Google Scholar

Career & Education History

Principal Researcher

German Aerospace Center (dlr.de)

2022 – Present

Postdoc

Idiap Research Institute (idiap.ch)

2019 – 2022

Postdoc

Università degli Studi di Genova, Istituto Italiano di Tecnologia (iit.it)

2017 – 2019

PhD student

Università degli Studi di Genova, Istituto Italiano di Tecnologia (iit.it)

2014 – 2017

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

KhGRL: Kernelized human-Guided Reinforcement Learning
Edoardo Fiorini, Abhishek Padalkar, Antonin Raffin, João Silvério
- ICRA 2026 Workshop RL4IL Oral
- Readers: Everyone
An Open-Loop Baseline for Reinforcement Learning Locomotion Tasks
Antonin Raffin, Olivier Sigaud, Jens Kober, Alin Albu-Schaeffer, João Silvério, Freek Stulp
- EWRL 2025 Poster
- Readers: Everyone
Enhancing Probabilistic Imitation Learning with Robotic Perception for Self-Organising Robot Workstation
Daniel Barros, Christoph Willibald, Abhishek Padalkar, João Silvério
- CoRL 2024 Workshop MRM-D Poster
- Readers: Everyone
Learning-Based Ergodic Control for Interactive Surface Finishing with Collaborative Robots
Stefan Schneyer, Alin Albu-Schaeffer, Freek Stulp, João Silvério
- 2024 CoRoboLearn Poster
- Readers: Everyone
Human-intention-aware skill modulation using energy tanks for collaborative tasks
Edoardo Fiorini, Markus Knauer, João Silvério
- 2024 CoRoboLearn Poster
- Readers: Everyone
Guiding reinforcement learning using constrained uncertainty-aware movement primitives
Abhishek Padalkar, Freek Stulp, Gerhard Neumann, João Silvério
- CoRL 2024 Workshop SAFE-ROL SpotlightPoster
- Readers: Everyone
Interactive incremental learning of generalizable skills with local trajectory modulation
Markus Knauer, Alin Albu-Schaeffer, Freek Stulp, João Silvério
- 2024 CoRoboLearn Oral
- Readers: Everyone
An Open-Loop Baseline for Reinforcement Learning Locomotion Tasks
Antonin Raffin, Olivier Sigaud, Jens Kober, Alin Albu-Schaeffer, João Silvério, Freek Stulp
- RLC 2024
- Readers: Everyone
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Quan Vuong, Sergey Levine, Homer Rich Walke, Karl Pertsch, Anikait Singh, Ria Doshi, Charles Xu, Jianlan Luo, Liam Tan, Dhruv Shah, Chelsea Finn, Max Du, Moo Jin Kim, Alexander Khazatsky, Jonathan Heewon Yang, Tony Z. Zhao, Ken Goldberg, Ryan Hoque, Lawrence Yunliang Chen, Simeon Adebola et al. (154 additional authors not shown)
- LangRob @ CoRL 2023 Poster
- Readers: Everyone
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Quan Vuong, Sergey Levine, Homer Rich Walke, Karl Pertsch, Anikait Singh, Ria Doshi, Charles Xu, Jianlan Luo, Liam Tan, Dhruv Shah, Chelsea Finn, Max Du, Moo Jin Kim, Alexander Khazatsky, Jonathan Heewon Yang, Tony Z. Zhao, Ken Goldberg, Ryan Hoque, Lawrence Yunliang Chen, Simeon Adebola et al. (154 additional authors not shown)
- CoRL 2023 Workshop TGR Oral
- Readers: Everyone

View all 11 publications

Co-Authors

View all 183 co-authors