SIMULATION OF ROBOTICS DEVICES USING A NEURAL NETWORK SYSTEMS AND METHODS

Neural-network robotics simulation technique (Bächer).

Systems and methods for training a neural network to predict states of a robotics device are disclosed. Robotics data is received for a robotics device, including indications of a set of components, a digital simulation of the robotics device, and measurement data received from a sensor associated with the robotics device. The set of components includes an actuator and a structural element. A training dataset is generated using the received robotics data. Generating the training dataset includes comparing the measurement data with simulated measurement data based on the digital simulation. A neural network is trained using the generated training dataset to modify the digital simulation of the robotics device to predict a state of the robotics device, such as a position, motion, electrical quantity, or other. When trained, the neural network is applied to predict states of the robotics device or a different robotics device.

FIELD

The described embodiments relate generally to simulation of robotics devices. Specifically, disclosed embodiments relate to improved simulation of robotics devices using a neural network or other artificial intelligence (AI) and/or machine learning (ML) model. BACKGROUND

Robotics simulation can be used to create a digital representation/simulation of a physical robotics device independent of the physical robotics device, such as to design a robotics device before it is built, to simulate operations performed by an existing robotics device, and/or to make modifications to an existing robotics device. Robotics simulation can refer to or use various robotics simulation applications. For example, in mobile robotics applications, behavior-based robotics simulators allow users to create environments modeling robotic devices to program digital simulations of robotics devices to interact with these environments. Other applications and/or techniques can also be used to generate and/or operate digital simulations. Digital simulations of robotics devices can be used, for example, in relation to animatronics, amusement devices, commercial or industrial robotics devices, medical devices, military robots, agricultural robots, domestic robots, and so forth. SUMMARY

The following Summary is for illustrative purposes only and does not limit the scope of the technology disclosed in this document.

In an embodiment, a computer-implemented method of training a ne