International business machines corporation (20240103519). INTELLIGENT ASSIGNMENT OF ROBOTIC EDGE DEVICES IN AN EDGE COMPUTING ECOSYSTEM simplified abstract

INTELLIGENT ASSIGNMENT OF ROBOTIC EDGE DEVICES IN AN EDGE COMPUTING ECOSYSTEM

Organization Name

international business machines corporation

Inventor(s)

Atul Mene of Morrisville NC (US)

Martin G. Keen of Cary NC (US)

Tushar Agrawal of West Fargo ND (US)

Sarbajit K. Rakshit of Kolkata (IN)

Jeremy R. Fox of Georgetown TX (US)

INTELLIGENT ASSIGNMENT OF ROBOTIC EDGE DEVICES IN AN EDGE COMPUTING ECOSYSTEM - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240103519 titled 'INTELLIGENT ASSIGNMENT OF ROBOTIC EDGE DEVICES IN AN EDGE COMPUTING ECOSYSTEM

Simplified Explanation

The abstract describes a method, system, and computer program for intelligently assigning robotic edge devices to perform tasks in an edge computing ecosystem. The processor identifies robotic edge devices, determines their attributes, identifies tasks to be performed, selects devices capable of completing the task based on attributes, and assigns them to complete the task.

• The method involves identifying robotic edge devices in a geographic location.
• Attributes of each robotic edge device are determined.
• A task to be performed at the location is identified.
• A subset of robotic edge devices capable of completing the task is selected based on their attributes.
• The subset of devices is assigned to complete the task.

Potential Applications

This technology could be applied in industries such as manufacturing, logistics, and healthcare where tasks need to be efficiently distributed among robotic devices.

Problems Solved

This technology solves the problem of optimizing the assignment of tasks to robotic edge devices based on their capabilities and attributes, leading to more efficient and effective task completion.

Benefits

The benefits of this technology include improved task allocation, increased productivity, reduced downtime, and overall cost savings in operations utilizing robotic edge devices.

Potential Commercial Applications

A potential commercial application of this technology could be in warehouse management systems where tasks such as inventory management, picking, and packing can be efficiently assigned to robotic edge devices.

Possible Prior Art

One possible prior art could be a similar system used in autonomous vehicle fleets where tasks are assigned to vehicles based on their location and capabilities.

How does this technology handle dynamic changes in the capabilities of robotic edge devices?

The system may need to continuously monitor and update the attributes and capabilities of robotic edge devices to adapt to any changes.

What security measures are in place to protect the assignment of tasks to robotic edge devices?

The system may incorporate encryption, authentication, and access control mechanisms to ensure the secure assignment of tasks to robotic edge devices.

Original Abstract Submitted

provided is a computer-implemented method, system, and computer program product for intelligently assigning robotic edge devices to perform a task using an edge computing ecosystem. a processor may identify a plurality of robotic edge devices in a geographic location. the processor may determine attributes for each robotic edge device of the plurality of robotic edge devices. the processor may identify a task to be performed at the geographic location by the plurality of robotic edge devices. the processor may determine, based on the attributes, a subset of robotic edge devices that are capable of completing the task. the processor may assign the subset of robotic edge devices to complete the task.