papers AI Learner
The Github is limit! Click to go to the new site.

Robotics Evolution: from Remote Brain to Cloud

2019-01-08
Alaa F. Sheta, Nazeeh Ghatasheh, Hossam Faris, Ali Rodan

Abstract

Robotic systems have been evolving since decades and touching almost all aspects of life, either for leisure or critical applications. Most of traditional robotic systems operate in well-defined environments utilizing pre-configured on-board processing units. However, modern and foreseen robotic applications ask for complex processing requirements that exceed the limits of on-board computing power. Cloud computing and the related technologies have high potential to overcome on-board hardware restrictions and can improve the performance efficiency. This research highlights the advancements in robotic systems with focus on cloud robotics as an emerging trend. There exists an extensive amount of effort to leverage the potentials of robotic systems and to handle arising shortcomings. Moreover, there are promising insights for future breed of intelligent, flexible, and autonomous robotic systems in the Internet of Things era.

Abstract (translated by Google)
URL

https://arxiv.org/abs/1901.03297

PDF

https://arxiv.org/pdf/1901.03297


Comments

Content