View source for 18233261. EFFICIENT ROBOT CONTROL BASED ON INPUTS FROM REMOTE CLIENT DEVICES simplified abstract (Google LLC)

=EFFICIENT ROBOT CONTROL BASED ON INPUTS FROM REMOTE CLIENT DEVICES=


==Organization Name==

[[:Category:Google LLC|Google LLC]]


[[Category:Google LLC]]

==Inventor(s)==

[[:Category:Johnny Lee of Mountain View CA (US)|Johnny Lee of Mountain View CA (US)]][[Category:Johnny Lee of Mountain View CA (US)]]

[[:Category:Stefan Welker of Mountain View CA (US)|Stefan Welker of Mountain View CA (US)]][[Category:Stefan Welker of Mountain View CA (US)]]

==EFFICIENT ROBOT CONTROL BASED ON INPUTS FROM REMOTE CLIENT DEVICES - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18233261 titled 'EFFICIENT ROBOT CONTROL BASED ON INPUTS FROM REMOTE CLIENT DEVICES

==Simplified Explanation==

The patent application is about using user interface inputs from remote client devices to control robots in an environment. The implementation involves generating training instances based on user interface inputs for object manipulation parameters and training machine learning models to predict these parameters. The trained models can then be used to reduce the amount of input required from remote client devices for a given set of robotic manipulations or operations. Additionally, the patent application relates to using vision data to capture objects before they are transported to a robot workspace, reducing idle time for the robots.

* User interface inputs from remote client devices are used to control robots.
* Training instances are generated based on user interface inputs for object manipulation parameters.
* Machine learning models are trained to predict these parameters.
* Trained models can reduce the amount of input required from remote client devices for robotic manipulations or operations.
* Vision data is used to capture objects before they are transported to a robot workspace.
* This reduces idle time for the robots.

==Potential Applications==
* Industrial automation
* Warehouse logistics
* Manufacturing processes

==Problems Solved==
* Reducing the amount of input required from remote client devices for controlling robots
* Mitigating idle time for robots by capturing objects before they reach the robot workspace

==Benefits==
* Increased efficiency in robotic operations
* Reduced reliance on manual input for controlling robots
* Improved productivity in industrial and manufacturing processes


==Original Abstract Submitted==

Utilization of user interface inputs, from remote client devices, in controlling robot(s) in an environment. Implementations relate to generating training instances based on object manipulation parameters, defined by instances of user interface input(s), and training machine learning model(s) to predict the object manipulation parameter(s). Those implementations can subsequently utilize the trained machine learning model(s) to reduce a quantity of instances that input(s) from remote client device(s) are solicited in performing a given set of robotic manipulations and/or to reduce the extent of input(s) from remote client device(s) in performing a given set of robotic operations. Implementations are additionally or alternatively related to mitigating idle time of robot(s) through the utilization of vision data that captures object(s), to be manipulated by a robot, prior to the object(s) being transported to a robot workspace within which the robot can reach and manipulate the object.



[[Category:B25J9/16]]