Guest Editorial Special Issue on Cloud Robotics and Automation

@article{Civera2015GuestES,
  title={Guest Editorial Special Issue on Cloud Robotics and Automation},
  author={Javier Civera and Matei T. Ciocarlie and Alper Aydemir and Kostas E. Bekris and Sanjay E. Sarma},
  journal={IEEE Trans Autom. Sci. Eng.},
  year={2015},
  volume={12},
  pages={396-397}
}
The articles in this special section focus on the use of cloud computing in the robotics industry. The Internet and the availability of vast computational resources, ever-growing data and storage capacity have the potential to define a new paradigm for robotics and automation. An intelligent system connected to the Internet can expand its onboard local data, computation and sensors with huge data repositories from similar and very different domains, massive parallel computation from server… 
CloudRobotics – Distributed Robotics using Cloud Computing
  • J. Rosa
  • Computer Science
    CloudCom 2016
  • 2016
TLDR
This dissertation aims to analyse this tradeoff by adapting two existing multi-robot tasks, working on the Robotic Operating System (ROS), and compare the Cloud-based approach to the traditional one.
The actions language as a programming framework for cloud robotics applications
TLDR
This paper describes and investigates the approach for programming robotics behavior using cloud services, and has its own scripting language for programming (and modeling) robotics behavior - Actions Language.
Robotics the roadmap to a digital life
TLDR
The categorization of robots, enhancement in robotics, possible future advances and threats to humankind are discussed.
Teaching cloud computing using Web of Things devices
TLDR
This work deals with the teaching of the innovative technology, named cloud computing, using the Web of Things (WoT) platform model based on web services, which improves the students' interest and engagement leading to better learning results.
CrowdGIS: Updating Digital Maps via Mobile Crowdsensing
TLDR
CrowdGIS is proposed, an automatic store self-updating system for digital maps that leverages street views and sensing data crowdsourced from mobile users that effectively accommodates store variations and updates stores to maintain an up-to-date map with high accuracy.
Web of Things Platforms for Distance Learning Scenarios in Computer Science Disciplines: A Practical Approach
TLDR
The use of these types of spaces and their integration as practical activities into the curricula of technological subjects will allow to improve the academic results of students and increase engagement and interest of students in the studied technologies, including IoT devices.