Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Tips para estudiantes de ingeniería de sistemas
Published:
Este post acompaña la charla mi trayectoria profesional, para proveer algunos recursos adicionales que pueden ser interesantes para estudiantes o egresados de ingeniería de sistemas.
portfolio
Robot Table Tennis
We used machine learning in all the components: The actual robot policy, the vision system and the system that predicts the trajectory of the ball.
Robot assisted coffee preparation
This demo showed how we could concatenate multiple movement primitives learned from a human 
Other projects
I currently work at Google in Search/Ranking. Unfortunately, I cannot discuss in detail the interesting work I do at Google. I also have worked on projects for other companies, and many personal projects just for fun. Click here if you want to learn some details about these projects.
publications
Reliable real-time ball tracking for robot table tennis
Published in Robotics, 2019
This paper describes the vision system for our table tennis robot.
Recommended citation: Gomez-Gonzalez, S.; Nemmour, Y.; Schölkopf, B.; Peters, J. Reliable Real-Time Ball Tracking for Robot Table Tennis. Robotics 2019, 8, 90. https://doi.org/10.3390/robotics8040090
Download Paper
Real time trajectory prediction using deep conditional generative models
Published in IEEE Robotics and Automation Letters, 2020
A Variational-Autoencoder for trajectory forecasting
Recommended citation: S. Gomez-Gonzalez, S. Prokudin, B. Schölkopf and J. Peters, "Real Time Trajectory Prediction Using Deep Conditional Generative Models," in IEEE Robotics and Automation Letters, vol. 5, no. 2, pp. 970-976, April 2020, doi: 10.1109/LRA.2020.2966390
Download Paper
Adaptation and robust learning of probabilistic movement primitives
Published in IEEE Transactions on Robotics, 2020
Introduces some operators for a probabilistic representation of robot trajectories.
Recommended citation: S. Gomez-Gonzalez, G. Neumann, B. Schölkopf and J. Peters, "Adaptation and Robust Learning of Probabilistic Movement Primitives," in IEEE Transactions on Robotics, vol. 36, no. 2, pp. 366-379, April 2020, doi: 10.1109/TRO.2019.2937010.
Download Paper
talks
Mi trayectoria profesional: De la UTP a Machine Learning Engineer en Google
Published:
En esta charla comparto tips que me ayudaron a alcanzar mis metas profesionales y algunas cosas que me hubiera gustado hacer diferente.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.