research
∙
09/13/2023
Out of Distribution Detection via Domain-Informed Gaussian Process State Space Models
In order for robots to safely navigate in unseen scenarios using learnin...
share
research
∙
05/27/2021
GoSafe: Globally Optimal Safe Robot Learning
When learning policies for robotic systems from data, safety is a major ...
research
∙
10/16/2020
Robot Learning with Crash Constraints
In the past decade, numerous machine learning algorithms have been shown...
research
∙
05/15/2020
Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures
When learning to ride a bike, a child falls down a number of times befor...
research
∙
07/24/2019
Classified Regression for Bayesian Optimization: Robot Learning with Unknown Penalties
Learning robot controllers by minimizing a black-box objective cost usin...
research
∙
12/15/2018
Data-efficient Auto-tuning with Bayesian Optimization: An Industrial Control Study
Bayesian optimization is proposed for automatic learning of optimal cont...
research
∙
09/10/2018
Gait learning for soft microrobots controlled by light fields
Soft microrobots based on photoresponsive materials and controlled by li...
research
∙
09/20/2017
On the Design of LQR Kernels for Efficient Controller Learning
Finding optimal feedback controllers for nonlinear dynamic systems from ...
research
∙
03/08/2017