System and method for performing simulation of operational tasks of a robotic system using machine learning

A computer system for modeling dynamics of a space robotic system including a robotic device, the computer system comprising:

• a computer memory and at least one processor in communication with the computer memory;
• wherein the at least one processor is configured to execute a simulator module for simulating dynamics of at least one dynamical system including the robotic device at a series of simulation timesteps during an operation executed by the robotic device;
• wherein the simulator module comprises a dynamics engine module and a first machine learning model that operate in a feedback loop;
• wherein for each timestep in the series of simulation timesteps the simulator module determines (i) position or velocity values of the at least one dynamical system and (ii) force or moment values of the at least one dynamical system;
• wherein for a first timestep a set of initial conditions are provided to the dynamics engine module to calculate the position or velocity values;
• wherein the force or moment values are predicted by the first machine learning model based on the position or velocity values from the same timestep;
• wherein after the first timestep, the position or velocity values are calculated by the dynamics engine module based on a motion equation that is updated using the force or moment values from the immediately preceding timestep;
• and wherein the simulator module determines the position or velocity values and the force or moment values until a last timestep.