Robot learning via human-demonstration of tasks with force and position objectives

Abstract

A system for demonstrating a task to a robot includes a glove, sensors, and a controller. The sensors measure task characteristics while a human operator wears the glove and demonstrates the task. The task characteristics include a pose, joint angle configuration, and distributed force of the glove. The controller receives the task characteristics and uses machine learning logic to learn and record the demonstrated task as a task application file. The controller transmits control signals to the robot to cause the robot to automatically perform the demonstrated task. A method includes measuring the task characteristics using the glove, transmitting the task characteristics to the controller, processing the task characteristics using the machine learning logic, generating the control signals, and transmitting the control signals to the robot to cause the robot to automatically execute the task.

Dependencies are inferred from the claim text.