Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Editorial

Editorial In terms of effective localisation, Nowicki et al.,in“An experimental study on feature-based SLAM for multi-legged robots with RGB-D sensors”, examine how the movement of a robot can affect the performance of various open-source SLAM methods while they focus particularly on methods Real-world mobile robot systems where off-the-shelf RGB-D sensors provide the necessary One of the most important features for a robot system working visual input. They identified that the abrupt and unpredictable in a real-world application is mobility. Mobile robots should sensor motions, oscillations and vibrations of moving be intelligent systems capable of a multitude of tasks while multi-legged robots affect their visual localization accuracy navigating either in indoor or outdoor environments. The significantly. majority of the challenges and issues in mobile robotics arise On the pursuit of faster localisation in the context of critical from the uncertainties involved in sensing and acting in infrastructure protection, Bêdkowski and Röhling use GPU unstructured and unpredictable real-world environments. processing in “Online 3D LIDAR Monte Carlo Localization Tomorrow’s mobile robotics systems should be able to with GPU Acceleration”. The extended experiments with understand and operate effectively in such environments, multiple mobile mapping sensors in challenging terrains reveal address safe interaction with humans http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Industrial Robot: An International Journal Emerald Publishing

Loading next page...
 
/lp/emerald-publishing/editorial-RPyfaX2ry5
Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
0143-991X
DOI
10.1108/IR-04-2017-0074
Publisher site
See Article on Publisher Site

Abstract

In terms of effective localisation, Nowicki et al.,in“An experimental study on feature-based SLAM for multi-legged robots with RGB-D sensors”, examine how the movement of a robot can affect the performance of various open-source SLAM methods while they focus particularly on methods Real-world mobile robot systems where off-the-shelf RGB-D sensors provide the necessary One of the most important features for a robot system working visual input. They identified that the abrupt and unpredictable in a real-world application is mobility. Mobile robots should sensor motions, oscillations and vibrations of moving be intelligent systems capable of a multitude of tasks while multi-legged robots affect their visual localization accuracy navigating either in indoor or outdoor environments. The significantly. majority of the challenges and issues in mobile robotics arise On the pursuit of faster localisation in the context of critical from the uncertainties involved in sensing and acting in infrastructure protection, Bêdkowski and Röhling use GPU unstructured and unpredictable real-world environments. processing in “Online 3D LIDAR Monte Carlo Localization Tomorrow’s mobile robotics systems should be able to with GPU Acceleration”. The extended experiments with understand and operate effectively in such environments, multiple mobile mapping sensors in challenging terrains reveal address safe interaction with humans

Journal

Industrial Robot: An International JournalEmerald Publishing

Published: Jun 19, 2017

There are no references for this article.