Checkmk Synthetic monitoring is realized via Robotmk, which uses an agent plug-in as a data collector, and the Robotmk scheduler (on the monitored host) for triggering Robot Framework projects. Synthetic monitoring is activated and configured via theRobotmk Schedulerrule. Here you specify which t...
Robot framework--内置库xml学习(一) 1Using lxml2By default this library uses Python's standard ElementTree module for parsing XML, but it can be configured to use lxml module instead when importing the library. The resulting element structure has same API regardless which module is used for pars...
from robot.libraries.BuiltInimportBuiltInclassLoops(object):def__init__(self):self.selenium_lib=B...
Plugin 'Robot Framework Language Server' (version '1.10.0') is not compatible with the current version of the IDE, because it requires build 230.* or older but the current build is PC-231.8109.197 1 reply Reply 0 dnzguzel 03.04.2023 ...
Host name of the PabotLib remote server (default is 127.0.0.1) If used with --pabotlib option, will change the host listen address of the created remote server (seehttps://github.com/robotframework/PythonRemoteServer) If used without the --pabotlib option, will connect to already running ...
The Robot Plugin provides integration with Robot Framework Test Case Files (http://www.robotframework.org). This plugin provides integration with Robot keywords implemented in Java that are in the same IntelliJ project as your Robot test case files. This
Data and research protocols (in R 4.0.3; R Core Team, 2020) of all two experiments are available online, at Open Science Framework: https://osf.io/d8t2y/. Declaration of Competing Interest The authors declare there is no conflict of interest. Appendix A. Supplementary data Download: Downloa...
Learning State-Variable Relationships in POMCP: A Framework for Mobile Robots 2022, Frontiers in Robotics and AI Learning state-variable relationships for improving POMCP performance 2022, Proceedings of the ACM Symposium on Applied Computing View all citing articles on ScopusView...
1). The framework is not only capable of informing the human operator about obstacles in the environment but also restricting the underlying motion when necessary. In our previous work [12], we introduced a promising solution for co-carrying of bulky, deformable, and ungraspable objects where ...
This work was supported by the Ministry of Science and Technology, Taiwan, under grant number MOST-105-2628-E-011-004 and partially supported by the “Center for Cyber-physical System Innovation” from The Featured Areas Research Center Program within the framework of the Higher Education Sprout ...