Field of interests: AI, Robotics, RL
- Languages: Python
- DS/ML/DL: PyTorch, Reinforcement Learning
- Robotics: ROS, Gazebo
- DevOps: Linux, Git, Docker
| Position | Company | Field | Work Period |
|---|---|---|---|
| Researcher | NAUTEC | Robotics and AI | 2023-04 — present |
| Intern | Augen | Machine Learning | 2022-08 — 2023-02 |
| Research Intern | UFSM | Robotics and AI | 2021-08 — 2023-02 |
| Volunteer | TauraBots | Robotics | 2018-07 — 2023-02 |
- Control and Automation Engineering Bachelor's Degree @ UFSM (2015 - 2023)
- Computer Engineering Master's Degree @ FURG (2023 - present)
- Parallel-Hydrone-DRL - application of distributed distributional deep reinforcement learning on drones
- dimitri - Implementation of the Dimitri humanoid robot
-
Depth-CUPRL: Depth-Imaged Contrastive Unsupervised Prioritized Representations in Reinforcement Learning for Mapless Navigation of Unmanned Aerial Vehicles. In: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
-
Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Deep Reinforcement Learning Through Environmental Generalization. In: 2022 Latin American Robotics Symposium (LARS)
-
Deterministic and Stochastic Analysis of Deep Reinforcement Learning for Low Dimensional Sensing-based Navigation of Mobile Robots. In: 2022 Latin American Robotics Symposium (LARS)
-
Deep Reinforcement Learning for Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Medium Transition. In: 2021 IEEE International Conference on Robotics and Automation (ICRA)
-
Workshop about Deep Learning
-
Workshop about Deep Reinforcement Learning
-
Workshop about Reinforcement Learning