A Survey of Deep Learning Techniques for Mobile Robot Applications

TL;DR

This survey reviews recent deep learning techniques applied to mobile robotics, highlighting the benefits and challenges faced in integrating neural networks into robotic systems for improved performance.

Contribution

It provides a comprehensive summary of current research, focusing on the advantages and obstacles of applying deep learning to mobile robot applications.

Findings

Deep learning enhances perception and decision-making in robots.

Challenges include computational demands and data requirements.

Opportunities for improved autonomy and adaptability.

Abstract

Advancements in deep learning over the years have attracted research into how deep artificial neural networks can be used in robotic systems. This research survey will present a summarization of the current research with a specific focus on the gains and obstacles for deep learning to be applied to mobile robotics.