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Microsoft technology licensing, llc (20240185534). MIXED REALITY WORKFLOW GENERATION simplified abstract

From WikiPatents

MIXED REALITY WORKFLOW GENERATION

Organization Name

microsoft technology licensing, llc

Inventor(s)

Edward Sean Lloyd Rintel of Cambridge (GB)

Prashant Vaidyanathan of Purley (GB)

Paul Kerr Grant of Cambridge (GB)

Neil Dalchau of Cambridge (GB)

Eyal Ofek of Redmond WA (US)

Payod Panda of Cambridge (GB)

MIXED REALITY WORKFLOW GENERATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240185534 titled 'MIXED REALITY WORKFLOW GENERATION

Simplified Explanation: The patent application describes a method for generating a mixed reality workflow by analyzing tasks performed by a user in one location and mapping them to objects, then determining non-spatial characteristics of those objects to map them to objects in another location.

  • Identifying a series of tasks performed by a user in one location.
  • Generating a task-to-object mapping based on the tasks and objects used in the process.
  • Determining non-spatial characteristics of objects to map them to objects in another location.
  • Generating an output task-to-object mapping for the tasks in the second location.
  • Creating a mapped workflow based on the tasks, locations, and mappings.

Potential Applications: This technology could be applied in industries such as manufacturing, logistics, training, and maintenance where mixed reality workflows can enhance efficiency and accuracy.

Problems Solved: This technology addresses the challenge of seamlessly integrating tasks and objects across different locations in a mixed reality environment.

Benefits: The benefits of this technology include improved workflow efficiency, enhanced user experience, and increased productivity in various industries.

Commercial Applications: "Enhancing Industrial Processes with Mixed Reality Workflow Optimization"

Prior Art: Prior research has focused on mixed reality applications in various industries, but this specific method of task-to-object mapping and workflow generation appears to be novel.

Frequently Updated Research: Ongoing research in mixed reality technologies and workflow optimization could provide further advancements in this field.

Questions about Mixed Reality Workflow Optimization: 1. How does this method improve user interaction with objects in different locations? 2. What are the potential challenges in implementing this technology in real-world scenarios?


Original Abstract Submitted

a computer-implemented method of generating a mixed reality workflow is described. the method comprises identifying a series of tasks and generating an input task-to-object-mapping by analyzing data that defines a process performed by a first user interacting with objects in a first location. the input task-to-object-mapping that maps each task from the series of tasks to an object used in the respective task. a task-specific non-spatial characteristic of each object in the input task-to-object-mapping is determined and used to map each object in the input task-to-object-mapping to a candidate object identified at a second location to generate an output task-to-object-mapping. the series of tasks, location data defining a position of each candidate object in the second location and output task-to-object-mapping are used to generate a mapped workflow which is then output to a device in the second location.

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