Robot Transfer Interface Using Detected Areas and Objects

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Solution Overview

Problem

Existing information processing devices for controlling robots lack efficient user interfaces for specifying source and destination areas and operation target objects in a work environment, leading to increased user input complexity and potential errors.

Innovation Solution

An information processing device equipped with a display and inputter that receives user inputs to specify destination and source areas, as well as operation target objects, by displaying detection results of candidate target areas and objects, allowing users to perform inputs more easily and accurately.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If traditional text-based or manual input methods are used to specify source area, destination area, and operation target object, then the robot can perform transfer operations, but the user input complexity increases and potential errors increase

Engineering Contradiction:
Improveuser input complexityVSAvoidinput accuracy
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The patent uses image recognition technology to automatically detect and copy information about the work environment, including source areas, destination areas, and operation target objects. Instead of requiring users to manually input all parameters, the system captures an image of the workspace, automatically identifies relevant elements, and populates the control interface with detected information, significantly reducing input complexity and improving accuracy

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The patent introduces an image recognition system as an intermediary between the user and the robot control system. This intermediary automatically processes visual information about the workspace and translates it into structured data that the robot can understand and execute, eliminating the need for complex manual parameter specification while reducing errors

Inventive Principle:
Principle #24Intermediary (Mediator)

2Productivity

If detailed manual specification of transfer parameters is required, then operational precision can be maintained, but user input time and complexity increase

Engineering Contradiction:
Improveoperation setup timeVSAvoidinput interface complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent performs preliminary automatic detection and identification of workspace elements before the user needs to specify transfer parameters. The image recognition system pre-processes the workspace information, identifies potential source areas, destination areas, and operation target objects, and prepares this information for user confirmation or direct execution, eliminating the need for time-consuming manual parameter entry

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent creates a universal input interface that can handle multiple types of transfer operations through a single image-based interaction paradigm. The same image recognition and selection mechanism works for different object types, different workspace layouts, and various transfer scenarios, simplifying the interface while maintaining versatility

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250178202A1Information processing device and controller
Publication Date: 2025.06.05 KYOCERA CORP
  • US20250178202A1 patent drawing
  • US20250178202A1 patent drawing
  • US20250178202A1 patent drawing

AI summary

An information processing device obtains information to control a robot to perform an operation of transferring an operation target object in a source area to a destination area. The information processing device includes a display and an inputter that receives a user input. When the display displays a first detection result of detecting at least one candidate target area including a candidate for the destination area and a second detection result of detecting at least one candidate object including a candidate for the operation target object in a work environment of the robot, the inputter receives a destination input specifying the destination area from the at least one candidate target area.