Bachelor Thesis Defense: Reinforcement Learning for Robotics
Successfully defended my Bachelor Thesis on Reinforcement Learning controllers, achieving a perfect 10.0/10.0 score.
I am thrilled to share that I have officially defended my Bachelor Thesis at the Public University of Navarre (UPNA), marking the perfect end to this academic chapter.
My research, titled “Development of a reinforcement learning controller for an automatic balancing platform,” was awarded a grade of 10.0/10.0 and has been nominated for Highest Honors (Matrícula de Honor).
The Project: Beyond the Curriculum
This thesis provided a unique opportunity to explore multidisciplinary areas that go far beyond the standard Computer Science syllabus. It allowed me to gain hands-on experience in fields like 3D Design (CAD) for mechanical prototyping and advanced Reinforcement Learning (RL).
By utilizing algorithms like PPO (Proximal Policy Optimization) and simulation environments such as Genesis/MuJoCo, I was able to dive deep into a field where I have discovered a true professional calling.
Closing the UPNA Chapter
This defense represents the culmination of my years at UPNA. Leaving with the highest possible grade and a nomination for honors is an achievement I am incredibly proud of. It is the best possible way to say goodbye to my home university before I embark on my next adventure.
Now, it is time to look forward. I am heading off on my Erasmus mobility program, eager to apply what I have learned in a new international environment and continue growing as an engineer.
Related Links:
- Full technical breakdown: Project Portfolio
