Robot Framework Swarm testingload-testingtest-automationrobot-frameworktesting-toolsperformance-testingsoak-testingvolume-testing UpdatedFeb 8, 2025 HTML Sample test scripts and applications for Bitbar Cloud javascriptjavaiosrobot-frameworkbitbarappiumdetoxtestdroidbitbar-cloudbitbar-samples ...
pip install -U https://github.com/robotframework/RIDE/archive/develop.zip See the FAQ at Wiki Unit testing statuses: Linux (Fedora 41: py3.13, Ubuntu 22.04: py3.10): Windows (Python 3.11): Quality Gate Status: Links Localization at Crowdin Downloads at PyPi Statistics at PyPi Sta...
A Short Introduction to Robot Framework Robot Framework is a generic open-source test automation framework suitable for end-to-end acceptance testing and acceptance test-driven development (ATDD). Also, data driven testing in robot framework is a topic that’s worth discussing and understanding. So...
测试左移（Shift Left Testing）是指要把质量保障的活动尽量前移到更早的开发生命周期中。这个理念和测试...
Advance Robot Learning, Perception, and Manipulation with the Latest NVIDIA Isaac Release Explore the latest Isaac release to enhance your robot learning, perception, manipulation, and environment mapping. Featured Webinar Isaac ROS Webinar Series ...
NVIDIA Isaac ROS is built on the open-source ROS 2™ software framework. This means the millions of developers in the ROS community can easily take advantage of NVIDIA-accelerated libraries and AI models to fast track their AI robot development and deployment workflows. Hardware Acceleration NVIDI...
Advance Robot Learning, Perception, and Manipulation with the Latest NVIDIA Isaac Release Explore the latest Isaac release to enhance your robot learning, perception, manipulation, and environment mapping. Featured Webinar Isaac ROS Webinar Series ...
Mocks are handled using the gMock framework. To effectively use them, your code must again utilize dependency injection. You can then create a mock as a derived class of the interface you inject. gMock provides the MOCK_METHOD() macro that will be used to define the mocked methods of the ...
In this paper, we propose a multitasking-oriented robot skill learning framework named MT-RSL to improve the efficiency and robustness of multi-task robot skill learning in complex real-world environments, and present the detailed design steps of three key sub-modules included in MT-RSL, namely,...
Of late, there has been an increasing interest in the application of robotics in the textile industry. The interim development of a robotic system, for automated testing of low stress mechanical and surface properties of fabrics, is described in this pap