Proceedings of the 2019 3rd International Conference on Automation, Control and Robots 2019
DOI: 10.1145/3365265.3365274
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A Modular Simulation Platform for Training Robots via Deep Reinforcement Learning and Multibody Dynamics

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“…An FMU is generated of the dynamics model to be compatible with the digital twin tool chain. However, Chrono has already interfaces to MATLAB, Simulink (MathWorks, Massachusetts, USA) and a Python-based module PyChrono [1] that alternatively could have been applied for the integration with the digital twin tool chain. FMI-enabling Chrono models allow for taking advantage of both the 3D dynamics capabilities in Chrono and the co-simulation capabilities through FMI-related tools.…”
Section: Discussion and Future Workmentioning
confidence: 99%
“…An FMU is generated of the dynamics model to be compatible with the digital twin tool chain. However, Chrono has already interfaces to MATLAB, Simulink (MathWorks, Massachusetts, USA) and a Python-based module PyChrono [1] that alternatively could have been applied for the integration with the digital twin tool chain. FMI-enabling Chrono models allow for taking advantage of both the 3D dynamics capabilities in Chrono and the co-simulation capabilities through FMI-related tools.…”
Section: Discussion and Future Workmentioning
confidence: 99%