research
∙
03/20/2023
A Framework for Learning Behavior Trees in Collaborative Robotic Applications
In modern industrial collaborative robotic applications, it is desirable...
share
research
∙
09/15/2022
On the programming effort required to generate Behavior Trees and Finite State Machines for robotic applications
In this paper we provide a practical demonstration of how the modularity...
research
∙
03/30/2021
Learning Deep Neural Policies with Stability Guarantees
Reinforcement learning (RL) has been successfully used to solve various ...
research
∙
11/06/2020
Learning Behavior Trees with Genetic Programming in Unpredictable Environments
Modern industrial applications require robots to be able to operate in u...
research
∙
10/30/2020
Learning Stable Normalizing-Flow Control for Robotic Manipulation
Reinforcement Learning (RL) of robotic manipulation skills, despite its ...
research
∙
04/22/2020
Stability-Guaranteed Reinforcement Learning for Contact-rich Manipulation
Reinforcement learning (RL) has had its fair share of success in contact...
research
∙
01/18/2020
A Transfer Learning Approach to Cross-Modal Object Recognition: From Visual Observation to Robotic Haptic Exploration
In this work, we introduce the problem of cross-modal visuo-tactile obje...
research
∙
11/20/2019
A Human Action Descriptor Based on Motion Coordination
In this paper, we present a descriptor for human whole-body actions base...
research
∙
11/20/2019
On Policy Learning Robust to Irreversible Events: An Application to Robotic In-Hand Manipulation
In this letter, we present an approach for learning in-hand manipulation...
research
∙
09/11/2019
