Robot Visual Interface for Remote Driving Risk Indication

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Solution Overview

Problem

Existing robot control systems face challenges in providing intuitive and accurate remote management and control, especially in handling dangerous situations, as they rely solely on camera images without adequate visualization of risk levels and dynamic object movements.

Innovation Solution

A robot control method and system that receives images and driving information, outputs graphic objects with varying visual characteristics based on risk levels, and adjusts their size and color to reflect driving speed and dynamic object movements, allowing for intuitive risk assessment and prevention of collisions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If only camera images are used for remote robot management, then the system complexity is low, but the ability to handle dangerous situations immediately is insufficient

Engineering Contradiction:
Improveability to handle dangerous situationsVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent combines multiple information sources (camera images, driving information, risk level data) into a single integrated display interface. The controller merges these different data types and presents them together through graphic objects overlaid on camera images, enabling comprehensive danger assessment without requiring separate monitoring systems.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent introduces graphic objects as intermediary visual elements that mediate between raw driving data and user comprehension. These graphic objects translate abstract driving information and risk levels into intuitive visual representations, allowing users to immediately grasp dangerous situations without interpreting raw data.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Ease of operation

If graphic objects with detailed visual characteristics are displayed to show risk levels, then the intuitiveness of danger indication is improved, but the information processing complexity increases

Engineering Contradiction:
Improveintuitiveness of danger indicationVSAvoidinformation processing complexity
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The patent applies different visual characteristics to different regions of the graphic object corresponding to different risk levels. Each region is assigned specific visual properties (such as color, size, or pattern) that locally encode risk information, allowing users to quickly assess danger levels by observing specific areas rather than processing the entire graphic uniformly.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent utilizes color variations in graphic objects to represent different risk levels. By changing colors based on driving information and risk assessments, the system provides immediate intuitive feedback about dangerous situations while the controller automatically manages the color selection logic, balancing intuitiveness with processing simplicity.

Inventive Principle:
Principle #32Color changes

3Measurement precision

If the graphic object size and visual characteristics are adjusted based on driving speed and dynamic objects, then the accuracy of risk representation is improved, but the real-time processing requirements increase

Engineering Contradiction:
Improveaccuracy of risk representationVSAvoidreal-time processing speed
Core Design Contradiction:
Measurement precisionVSSpeed

Solution Approach 1:

The patent makes the graphic objects dynamic by continuously adjusting their visual characteristics based on real-time driving information. The controller modifies graphic object properties (size, shape, color) in response to changing driving conditions, enabling accurate risk representation that adapts to current situations while maintaining real-time responsiveness through efficient update mechanisms.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent implements a feedback loop where driving information is continuously monitored, risk levels are assessed, and graphic objects are updated accordingly. The controller receives driving data, processes it to determine risk levels, and immediately reflects these assessments in the visual display, creating a closed-loop system that maintains accuracy while operating in real-time.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS12072701B2Control method and system for robot
Publication Date: 2024.08.27 NAVER CORP
  • US12072701B2 patent drawing
  • US12072701B2 patent drawing
  • US12072701B2 patent drawing

AI summary

A robot control method includes receiving an image of a space where a robot drives; receiving driving information related to driving of the robot, from the robot; controlling a display unit to output a graphic object corresponding to the driving information, together with the image; and determining a visual characteristic of the graphic object based on the driving information, wherein the controlling includes controlling the display unit to output the graphic object in an overlapping manner with the image.