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

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

Organization Name

Intel Corporation

Inventor(s)

David Israel Gonzalez Aguirre of Hillsboro OR (US)

Javier Felip Leon of Hillsboro OR (US)

Javier Sebastian Turek of Beaverton OR (US)

Javier Perez-ramirez of North Plains OR (US)

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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