Robots are complex to develop due to the diversity of hardware, software components and the absence of common standards. To deal with these problems, Model-Driven Engineering …
This paper describes Team Delft's robot winning the Amazon Robotics Challenge 2016. The competition involves automating pick and place operations in semistructured environments …
The effectiveness of cognitive manufacturing systems in agile production environments heavily depend on the automatic assessment of various levels of interoperability between …
The fourth industrial revolution, Industry 4.0 (I40) aims at creating smart factories employing among others Cyber-Physical Systems (CPS), Internet of Things (IoT) and Artificial …
Abstract Nowadays, Multi-Robot Systems are an emerging research field under the umbrella of Cyber-Physical Systems. They consist of a group of robots that cooperate to accomplish a …
NH Garcia, M Lüdtke, S Kortik, B Kahl… - 2019 Third IEEE …, 2019 - ieeexplore.ieee.org
Ten years after its first release, the Robot Operating System (ROS) is arguably the most popular software framework used to program robots. It achieved such status despite its …
Empowering end-users to program robots is becoming more significant. Introducing software engineering principles into end-user programming could improve the quality of the …
O Kovalenko, I Grangel-González… - IOS Press …, 2018 - semantic-web-journal.net
We present an AutomationML ontology (AMLO) that covers the CAEX part of the AutomationML standard. The AutomationML data format facilitates the engineering data …
AutomationML is an open neutral XML based data exchange format used in automation systems. It has come into the public for more than 10 years and is being used in many …