Robotic Cell Auto-Calibration With Real-Time Pose Compensation

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Solution Overview

Problem

The calibration of robotic assembly systems is a slow, high-precision process that requires expertise and is time-consuming, as it involves coordinating multiple calibration routines for various components within the robotic cell.

Innovation Solution

An auto-calibration system that provides a holistic view of the robotic cell and its working area, using a combination of camera lens calibration, frame registration, end of arm tool contact calibration, and robot pose error compensation, with continuous monitoring and correction to maintain accuracy over time.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional calibration methods are used for robotic assembly systems, then high measurement precision can be achieved, but the calibration process becomes extremely time-consuming and requires expert intervention

Engineering Contradiction:
Improvecalibration precisionVSAvoidcalibration time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs self-calibration through automated routines that execute without expert intervention. The calibration process is autonomous, with the robotic system adjusting its own parameters based on sensor feedback and coordinate mapping, eliminating the need for manual expert calibration while maintaining high precision

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The calibration system incorporates continuous feedback loops where sensor data from cameras and other detection devices is processed to automatically adjust robotic cell parameters. This closed-loop feedback mechanism enables the system to self-correct and refine calibration accuracy iteratively without requiring external expert input

Inventive Principle:
Principle #23Feedback

2Reliability

If multiple separate calibration routines are executed for different robotic components, then comprehensive calibration coverage is achieved, but the overall calibration process becomes complex and time-consuming

Engineering Contradiction:
Improvecalibration completenessVSAvoidcalibration process complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent integrates multiple separate calibration routines into a unified holistic calibration process. By combining camera calibration, robotic arm calibration, end effector calibration, and sensor calibration into a single coordinated sequence, the system achieves comprehensive coverage while reducing overall process complexity and execution time

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The calibration system employs a universal coordinate system that serves as a common reference frame for all robotic components and sensors. This multi-functional approach allows the same calibration framework to handle diverse calibration tasks across different components, simplifying the overall process while ensuring complete calibration coverage

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

3Measurement precision

If expert intervention is required for calibration, then high calibration accuracy can be achieved, but the ease of operation deteriorates and requires specialized knowledge

Engineering Contradiction:
Improvecalibration accuracyVSAvoidcalibration ease
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The system automatically performs calibration without requiring expert operators. Built-in algorithms process sensor data and adjust calibration parameters autonomously, making the process accessible to operators without specialized calibration knowledge while maintaining high accuracy through automated error correction

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces manual expert calibration operations with automated computational algorithms. Instead of relying on human expertise to visually assess and adjust calibration parameters, the system uses computer vision, sensor fusion, and mathematical optimization algorithms to automatically achieve high-precision calibration

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

4Manufacturing precision

If comprehensive calibration of all robotic cell components is performed, then system accuracy is improved, but the productivity and operational time are reduced due to extensive calibration requirements

Engineering Contradiction:
Improverobotic cell accuracyVSAvoidoperational efficiency
Core Design Contradiction:
Manufacturing precisionVSProductivity

Solution Approach 1:

The system performs comprehensive calibration once during initial setup and after major maintenance events, rather than before every operation. This preliminary calibration action establishes a baseline accuracy that enables rapid production operations without repeated full calibration cycles, thereby maintaining high precision while maximizing productivity

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The calibration system operates periodically based on predetermined intervals or triggers (such as after maintenance or when accuracy thresholds are not met), rather than continuously before each task. This periodic calibration approach ensures manufacturing precision is maintained while minimizing interruptions to productive operations

Inventive Principle:
Principle #19Periodic action

Data Source

PatentUS20250138511A1Method and Apparatus for Improved Auto-Calibration of a Robotic Cell
Publication Date: 2025.05.01 BRIGHT MACHINES INC
  • US20250138511A1 patent drawing
  • US20250138511A1 patent drawing
  • US20250138511A1 patent drawing

AI summary

A robotic cell calibration method comprising a robotic cell system having elements comprising: one or more cameras, one or more sensors, components, and a robotic arm. The method comprises localizing positions of the one or more cameras and components relative to a position of the robotic arm using a common coordinate frame, moving the robotic arm in a movement pattern, and using the cameras and sensors to determine robotic arm position at multiple times during the movement. The method includes identifying a discrepancy in robotic arm position between a predicted position and the determined position in real time, and computing, by an auto-calibrator, a compensation for the identified discrepancy, the auto-calibrator solving for the elements in the robotic cell system as a system. The method includes modifying actions of the robotic arm in real time during the movement based on the compensation.