A Step-by-Step Robot Framework Tutorial The Robot Framework is a popular Python-based open-source tool to automate websites and web applications. The combination of the Robot Framework and Selenium can be harnessed for web automation testing. Himanshu Sheth January 6, 2025 273114 Views 10 Min Read
Deepbots is a simple framework which is used as "middleware" between the free and open-sourceCyberbotics' Webotsrobot simulator and Reinforcement Learning algorithms. When it comes to Reinforcement Learning theOpenAI gymenvironment has been established as the most used interface between the actual appl...
Deepworlds is a support repository for thedeepbots framework, containing examples of the framework's usage on theWebotsrobot simulator. If the following sections feel overwhelming, feel free to start on ourdeepbots-tutorials repositoryfor a beginner's in-depth introduction to the way the deepbots fr...
According to [10], a mental model is defined as a cognitive framework of internal representations humans build about things they interact with. When a person interacts with an artifact for the first time, an initial representation is built and continuously updated while interacting with it. This ...
In simulation or video game environments, the reward function is typically easy to specify, because one has full access to the simulator or game state, and can determine whether the task was successfully completed or access the score of the game. In the real world, however, assigning a score...
However, the dynamic model can take the role of a simulator in model-free learning without changing the style of the model-free algorithm. In model-based robot learning, using a model in the backpropagation of policy is the most direct way. On the other hand, if the decision-making is ...
Unfortunately, we could not use a standard SAR simulator (such as the Robocup SAR simulator8) since we wanted to test the methodology using real robots in a physical environment. Therefore, we constructed a simulator to resemble the real deployment environment (see Appendix B for the system's ...
This work provides a complete framework for the simulation, co-optimization, and sim-to-real transfer of the design and control of soft legged robots. Soft robots have “mechanical intelligence”: the ability to passively exhibit behaviors that would otherwise be difficult to program. Exploiting thi...
March 2024: HumanoidVerse - A Multi-simulator Framework for Humanoid Robot Learning (GitHub) February 2024: Isaac Lab - A unified and modular framework for robot learning (Website) February 2024: PhysX 5 SDK release (GitHub) February 2022: Isaac Gym Preview 4 (1.3.0) ...
The Astrobee Robot Software simulator, built usingROSandGazebo, enables the flight software to be evaluated without the need for robot hardware. The supporting tools include a tool that processes ISS imagery tobuild maps for Astrobee localization, along with many others. ...