Search Results for "process control simulator"

MuJoCo, developed and maintained by Google DeepMind, is a high-performance physics engine designed for simulating complex, articulated systems that interact through contact. It is widely used in research fields such as robotics, biomechanics, computer graphics, animation, and machine learning, where fast and accurate physics simulations are essential. The engine provides a robust C API optimized for real-time computation, making it suitable for scientific research and advanced simulation...

Simulator for dynamical systems Performs the simulation of systems built in interface, allowing the extraction of its transfer function as well as the graphs of its behavior. Initial Development: Maycon Gasoto Oriented by: Rogério Bastos Quirino Depends: wxWidgets mathomatic odeint

ARS is a physically-accurate robotics simulator written in Python. It's main purpose is to help researchers with to develop mobile manipulators and, in general, any multi-body system. It is open-source, modular, easy to learn and use, and can be a valuable tool in the process of robot design, in the development of control and reasoning algorithms, as well as in teaching and educational activities.

HOPSA, high oxygen pressure sputter automation, is a Python 3 project to control a step wise sample creation Process. Although written for this specific task it is easy to adopt for any experimental task which changes hardware parameters and waits for a specific condition before proceeding. The graphical interface (QT4) includes plotting (matplotlib), instrument configuration/monitoring and a program step creator.