Robot Interference Region Setting via 3D Camera Color Mapping

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Solution Overview

Problem

Existing methods for setting an interference region around a robot require manual input and preparation of 3D shape models, which are time-consuming and labor-intensive, and cannot handle complex or changing obstacle shapes effectively.

Innovation Solution

An interference region setting apparatus using a 3D camera to acquire camera images with distance and color information, generating a 3D map, and setting an interference region based on color-distinguishable point sequences, allowing automatic detection and exclusion of the robot's position from the map to define the interference zone.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual input and 3D shape model preparation are used to set interference region, then interference region can be accurately defined, but the process requires a great deal of time and labor

Engineering Contradiction:
Improveinterference region definition accuracyVSAvoidtime and labor for setting process
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system enables automatic self-service by having the robot itself provide the data needed for interference region definition through its own movement and sensor outputs, eliminating the need for external manual measurement and 3D model preparation

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical measurement and 3D modeling processes with an automated sensor-based system that uses camera images and distance information to automatically generate the interference region

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If manual input is used to set interference region, then interference region can be defined, but the process is labor-intensive

Engineering Contradiction:
Improveinterference region definition accuracyVSAvoidoperational simplicity
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The robot performs self-service by automatically capturing images and providing distance information through its own sensors, eliminating the need for external operators to manually measure and define interference regions

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system creates a digital copy of the physical environment by capturing camera images and distance data, which are then processed to generate the interference region, replacing manual physical measurement with automated digital copying

Inventive Principle:
Principle #26Copying

3Measurement precision

If 3D shape model is prepared in advance, then interference region can be set, but complex or changing obstacle shapes cannot be handled effectively

Engineering Contradiction:
Improveinterference region definition accuracyVSAvoidhandling complex or changing obstacle shapes
Core Design Contradiction:
Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The system transitions from static pre-prepared 3D models to dynamic real-time data collection, where the robot captures current environmental information through camera images and distance sensors, allowing adaptation to complex or changing obstacle shapes

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent changes the approach from using fixed geometric models to using variable sensor data parameters (camera images, distance information) that can automatically adapt to any obstacle shape and configuration

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS9584796B2Apparatus for setting interference region of robot
Publication Date: 2017.02.28 FANUC LTD
  • US9584796B2 patent drawing
  • US9584796B2 patent drawing
  • US9584796B2 patent drawing

AI summary

An apparatus for setting an interference region of a robot includes a 3D camera which photographs surroundings of a robot to acquire a camera image of a region around the robot including distance information and color information, a 3D map generation unit which generates a 3D map including a plurality of point sequences which are arranged at equal intervals in a 3D space around the robot on the basis of the camera image, a color setting unit which sets a color of the robot, a color search unit which searches for a point sequence including color information corresponding to the robot color from the 3D map, and an interference region setting unit which sets an interference region on the basis of position data of the searched point sequence.