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Visuo-haptic object perception for robots: an overview
The object perception capabilities of humans are impressive, and this becomes even more
evident when trying to develop solutions with a similar proficiency in autonomous robots …
evident when trying to develop solutions with a similar proficiency in autonomous robots …
Reproducibility of machine learning: Terminology, recommendations and open issues
R Albertoni, S Colantonio, P Skrzypczyński… - ar**
Choosing an appropriate representation of the environment for the underlying decision-
making process of the reinforcement learning agent is not always straightforward. The state …
making process of the reinforcement learning agent is not always straightforward. The state …
Bird's Eye View Based Pretrained World model for Visual Navigation
Sim2Real transfer has gained popularity because it helps transfer from inexpensive
simulators to real world. This paper presents a novel system that fuses components in a …
simulators to real world. This paper presents a novel system that fuses components in a …
Deep Reinforcement Learning for Path-Following Control of an Autonomous Surface Vehicle using Domain Randomization
In this paper, we propose a path-following controller for an autonomous surface vehicle
(ASV) that is based on model-free deep reinforcement learning. To make the learning agent …
(ASV) that is based on model-free deep reinforcement learning. To make the learning agent …