Domingo Esteban is a postdoctoral researcher at the Dynamic Legged Systems lab at IIT. His work is focused on researching data-driven methods to improve the locomotion capabilities of the legged robots in the lab. His research is mainly supported by the design and application of (deep) reinforcement learning, optimal control, and supervised/unsupervised learning techniques.
You can find more information in his personal website.
Domingo Esteban
Dynamic Legged Systems
Research center
CRIS@SanQuirico
About
All Publications
2020
Esteban D., Villarreal O., Fahmi S., Semini C., Barasuol V.
On the Influence of Body Velocity in Foothold Adaptation for Dynamic Legged Locomotion via CNNs
International Conference on Climbing and Walking Robots and Support Technologies for Mobile Machines (CLAWAR)
Conference Paper
Conference
2019
Esteban D., Rozo L., Caldwell D. G.
Hierarchical Reinforcement Learning for Concurrent Discovery of Compound and Composable Policies
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Conference Paper
Conference
2019
Esteban D.
Indirect Methods for Robot Skill Learning
PhD Thesis
PhD Thesis
Book
2018
Esteban D., Rozo L., Caldwell D. G.
Learning Deep Robot Controllers by Exploiting Successful and Failed Executions
IEEE-RAS International Conference on Humanoid Robots (Humanoids)
Conference Paper
Conference
2017
Delhaisse B., Esteban D., Rozo L., Caldwell D.G.
Transfer Learning of Shared Latent Space between Robots with Similar Kinematics Structure
International Joint Conference on Neural Networks (IJCNN)
Conference Paper
Conference
Colleagues of Dynamic Legged Systems