View source for 18542305. AFFORDANCE-AWARE, MULTI-RESOLUTION, FREE-FORM OBJECT MANIPULATION PLANNING simplified abstract (Intel Corporation)

=AFFORDANCE-AWARE, MULTI-RESOLUTION, FREE-FORM OBJECT MANIPULATION PLANNING=


==Organization Name==

[[:Category:Intel Corporation|Intel Corporation]]


[[Category:Intel Corporation]]

==Inventor(s)==

[[:Category:David Israel Gonzalez Aguirre of Hillsboro OR (US)|David Israel Gonzalez Aguirre of Hillsboro OR (US)]][[Category:David Israel Gonzalez Aguirre of Hillsboro OR (US)]]

[[:Category:Javier Felip Leon of Hillsboro OR (US)|Javier Felip Leon of Hillsboro OR (US)]][[Category:Javier Felip Leon of Hillsboro OR (US)]]

[[:Category:Javier Sebastian Turek of Beaverton OR (US)|Javier Sebastian Turek of Beaverton OR (US)]][[Category:Javier Sebastian Turek of Beaverton OR (US)]]

[[:Category:Javier Perez-ramirez of North Plains OR (US)|Javier Perez-ramirez of North Plains OR (US)]][[Category:Javier Perez-ramirez of North Plains OR (US)]]

[[:Category:Ignacio J. Alvarez of Portland OR (US)|Ignacio J. Alvarez of Portland OR (US)]][[Category:Ignacio J. Alvarez of Portland OR (US)]]

==AFFORDANCE-AWARE, MULTI-RESOLUTION, FREE-FORM OBJECT MANIPULATION PLANNING - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18542305 titled 'AFFORDANCE-AWARE, MULTI-RESOLUTION, FREE-FORM OBJECT MANIPULATION PLANNING

==Simplified Explanation==

The patent application describes a system for controlling end effectors by generating a semantic labelled image based on image data, identifying objects and their labels, associating actions with the objects, and generating a plan to satisfy user commands through end effector actuation.

* The system generates a semantic labelled image to identify object shapes and labels.
* Actions are associated with objects to create a plan for end effector actuation based on user commands.

== Potential Applications ==
This technology could be applied in industrial automation, robotic surgery, and autonomous vehicles for object recognition and manipulation tasks.

== Problems Solved ==
This technology solves the problem of efficiently controlling end effectors based on user commands and object identification.

== Benefits ==
The benefits of this technology include improved accuracy in object manipulation, increased efficiency in task completion, and enhanced user interaction with robotic systems.

== Potential Commercial Applications ==
The potential commercial applications of this technology include manufacturing automation, medical robotics, and autonomous navigation systems.

== Possible Prior Art ==
One possible prior art for this technology could be systems that use computer vision for object recognition and manipulation in robotics.


==Original Abstract Submitted==

Systems, apparatuses and methods may provide for controlling one or more end effectors by generating a semantic labelled image based on image data, wherein the semantic labelled image is to identify a shape of an object and a semantic label of the object, associating a first set of actions with the object, and generating a plan based on an intersection of the first set of actions and a second set of actions to satisfy a command from a user through actuation of one or more end effectors, wherein the second set of actions are to be associated with the command



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[[Category:B25J19/02]]