Sotabase

Career

· Full (W3) Professor, TU Dresden2023–
· Research Scientist, Meta AI (formerly Facebook AI Research)2018–2023
· Postdoctoral Researcher, University of California, Berkeley (BAIR Lab)2016–2018
· Research Intern, Microsoft Research2015–2015
· PhD in Computer Science, TU Darmstadt2012–2016
· Research Assistant, Aalto University2010–2010
· M.Sc. in Machine Learning and Data Mining, Aalto University2009–2011
· Intern, BELTEC s.r.l.2008–2008
· B.Sc. in Computer Science Engineering, Università degli studi di Palermo2004–2009

Publications (85)

Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models
Neural Information Processing Systems · 2018
1,406
cited
DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor With Application to In-Hand Manipulation
IEEE Robotics and Automation Letters · 2020
592
cited
Learning Invariant Representations for Reinforcement Learning without Reconstruction
International Conference on Learning Representations · 2020
539
cited
More Than a Feeling: Learning to Grasp and Regrasp Using Vision and Touch
IEEE Robotics and Automation Letters · 2018
377
cited
Bayesian optimization for learning gaits under uncertainty
Annals of Mathematics and Artificial Intelligence · 2015
344
cited
Manifold Gaussian Processes for regression
IEEE International Joint Conference on Neural Network · 2014
286
cited
Adversarial Continual Learning
European Conference on Computer Vision · 2020
224
cited
The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?
Conference on Robot Learning · 2017
222
cited
TACTO: A Fast, Flexible, and Open-Source Simulator for High-Resolution Vision-Based Tactile Sensors
IEEE Robotics and Automation Letters · 2020
167
cited
Low-Level Control of a Quadrotor With Deep Model-Based Reinforcement Learning
IEEE Robotics and Automation Letters · 2019
158
cited
In-Hand Object Rotation via Rapid Motor Adaptation
Conference on Robot Learning · 2022
151
cited
OmniTact: A Multi-Directional High-Resolution Touch Sensor
IEEE International Conference on Robotics and Automation · 2020
142
cited
Manipulation by Feel: Touch-Based Control with Deep Predictive Models
IEEE International Conference on Robotics and Automation · 2019
140
cited
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization
Neural Information Processing Systems · 2020
137
cited
General In-Hand Object Rotation with Vision and Touch
Conference on Robot Learning · 2023
136
cited
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Journal of Artificial Intelligence Research · 2022
128
cited
Goal-driven dynamics learning via Bayesian optimization
IEEE Conference on Decision and Control · 2017
115
cited
Active tactile object exploration with Gaussian processes
IEEE/RJS International Conference on Intelligent RObots and Systems · 2016
108
cited
Objective Mismatch in Model-based Reinforcement Learning
Conference on Learning for Dynamics & Control · 2020
108
cited
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning
International Conference on Artificial Intelligence and Statistics · 2021
108
cited
Sotabase