Method and system for predicting motion-outcome data of a robot moving between a given pair of robotic locations

A method for predicting, by a data processing system, motion-outcome data of a robot moving between a given pair of robotic locations, which comprises the following steps of:

• receiving data on the given pair of robotic locations as input data;
• applying a function trained by a machine learning algorithm to the input data, wherein related robotic motion-outcome data is generated;
• and
• providing the related robotic motion-outcome data as output data.

A data processing system, comprising:

• a processor;
• and
• an accessible memory, the data processing system configured to:
• receive data on a given pair of robotic locations as input data;
• apply a function trained by a machine learning algorithm to the input data, wherein related robotic motion-outcome data is generated;
• and
• providing the related robotic motion-outcome data as output data.

A method for providing, by a data processing system, a function trained by a machine learning algorithm, which comprises the following steps of:

• receiving a plurality of robotic location pair data as input training data;
• receiving a plurality of motion-outcome data as output training data, wherein the plurality of the motion-outcome data is related to the plurality robotic location pair data;
• training by a machine learning algorithm a function based on the input training data and on the output training data;
• and
• providing a trained function for predicting the motion-outcome data of a robot moving between a corresponding pair of robotic locations.

A method for predicting, by a data processing system, motion-outcome data of a robot moving between a given pair of robotic locations, which comprises the following steps of:

• receiving a plurality of robotic location pair data as input training data;
• receiving a plurality of motion-outcome data as output training data, wherein the plurality of motion-outcome data is related to the plurality robotic location pair data;
• training by a machine learning algorithm a function based on the input training data and the output training data;
• providing a trained function as a motion-outcome prediction module for predicting as the output data a motion-outcome data of a robot moving between a corresponding pair of robotic locations;
• predicting the motion-outcome data by applying the motion-outcome prediction module to a given robotic location pair as the input data.

A method for predicting, by a data processing system, motion-outcome data of a robot moving between a given pair of robotic locations, which comprises the following steps of:

• receiving a plurality of robotic location pair data as input training data;
• receiving a plurality of motion-outcome data as output training data, wherein the plurality of motion-outcome data is related to the plurality of robotic location pair data;
• training by a machine learning algorithm a function based on the input training data and the output training data;
• providing a trained function as motion-outcome prediction module for predicting as output data motion-outcome data of a robot moving between a corresponding pair of robotic locations;
• and
• predicting the motion-outcome data by applying the motion-outcome prediction module to a given robotic location pair as the input data.