CVROMar 20, 2018

A Survey of Deep Learning Techniques for Mobile Robot Applications

arXiv:1803.07608v16 citations
Originality Synthesis-oriented
AI Analysis

It provides an overview for researchers and practitioners in robotics, but it is incremental as it compiles existing work without new findings.

This survey summarizes current research on applying deep learning techniques to mobile robot applications, focusing on the gains and obstacles in this domain.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes