Abstract: Surrogate models are increasingly used to reduce the computational costs of building performance simulation (BPS) models. However, they are rarely coupled with optimization algorithms to ...

Abstract: This paper proposes an identification method for industrial robots by installing a bedplate force/torque sensor under the robot. Bedplate sensor calibration and dynamic identification are ...

Actively Developing: In the long term, we aim to develop a comprehensive physics simulator focused on real-to-sim, serving as an easy-to-use platform for XR, VR, and robotics applications. Feel free ...

This library proposes an implementation for a datamodel tailored for AI and ML learning of physics problems. It has been developped at SafranTech, the research center of Safran group. Only the ...