17840070. MOTION GUIDANCE AND NATURAL LANGUAGE COMMANDS BASED ROBOTIC SYSTEMS simplified abstract (TOYOTA JIDOSHA KABUSHIKI KAISHA)

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MOTION GUIDANCE AND NATURAL LANGUAGE COMMANDS BASED ROBOTIC SYSTEMS

Organization Name

TOYOTA JIDOSHA KABUSHIKI KAISHA

Inventor(s)

Thomas Kollar of San Jose CA (US)

MOTION GUIDANCE AND NATURAL LANGUAGE COMMANDS BASED ROBOTIC SYSTEMS - A simplified explanation of the abstract

This abstract first appeared for US patent application 17840070 titled 'MOTION GUIDANCE AND NATURAL LANGUAGE COMMANDS BASED ROBOTIC SYSTEMS

Simplified Explanation

The patent application describes a robotic system that can receive natural language commands, categorize them as guidance for performing actions, and store them in correlation with the corresponding robot motion.

  • The robotic system includes a robot with a camera, microphone, memory, and a controller.
  • The controller is configured to receive natural language commands for actions in the real world environment.
  • It can parse and categorize the commands as guidance for performing the actions.
  • The system can receive guidance, including specific motions, for performing the actions.
  • The natural language commands are stored in memory along with the corresponding robot motions.

Potential Applications

  • Home automation: The robotic system can be used to control various tasks in a smart home environment, such as turning on/off lights, adjusting temperature, or opening/closing doors.
  • Personal assistant: The system can assist individuals with daily tasks, such as fetching objects, organizing items, or providing reminders.
  • Industrial automation: The robotic system can be employed in manufacturing or warehouse settings to perform repetitive tasks, increasing efficiency and productivity.

Problems Solved

  • Language understanding: The system can interpret natural language commands, allowing users to communicate with the robot in a more intuitive and convenient manner.
  • Action guidance: By categorizing commands as guidance, the system can understand the intended actions and apply the appropriate motions to perform them accurately.
  • Memory storage: Storing the natural language commands in correlation with the robot motions enables the system to learn and improve its performance over time.

Benefits

  • User-friendly interaction: The ability to receive natural language commands makes the system more accessible and easier to use for individuals without technical expertise.
  • Increased efficiency: The system's ability to categorize and apply appropriate motions for actions allows for faster and more accurate task execution.
  • Learning and adaptation: Storing commands and motions in memory enables the system to learn from past experiences and improve its performance over time.


Original Abstract Submitted

A robotic system is contemplated. The robotic system comprises a robot comprising a camera, a microphone, memory, and a controller that is configured to receive a natural language command for performing an action within a real world environment, parse the natural language command, categorize the action as being associated with guidance for performing the action, receive the guidance for performing the action, the guidance including a motion applied to at least one portion of the robot within the real world environment for performing the action, and store, in the memory, the natural language command in correlation with the motion that is applied to the at least one portion of the robot.