Package Registration Using Minimum Viable Region Detection
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Solution Overview
Problem
Current robotic systems face challenges in efficiently registering and handling unknown or unrecognized packages, leading to potential mishandling and increased resource intensity, particularly in de-palletization processes where human workers are at risk of injury.
Innovation Solution
A robotic system that utilizes imaging sensors to identify exposed edges and corners of packages, generates Minimum Viable Regions (MVRs) to accurately grasp and manipulate unrecognized objects, and processes point cloud data to determine optimal grip locations, enabling autonomous registration and handling of packages without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If human workers perform de-palletization operations, then flexibility and adaptability are maintained, but safety risks and resource intensity increase
Solution Approach 1:
The system enables autonomous package registration by automatically detecting exposed edges and corners, generating MVRs, and identifying grip locations without human intervention. The robotic system serves itself by autonomously handling unrecognized packages through self-learning from imaging data, eliminating the need for manual registration while maintaining safety.
2Productivity
If automated robotic systems handle packages without registration data, then productivity increases, but handling accuracy decreases leading to potential mishandling
Solution Approach 1:
The system performs preliminary actions by capturing imaging data of exposed edges and corners before handling packages. It generates Minimum Viable Regions (MVRs) and identifies optimal grip locations in advance, allowing the robotic system to handle packages accurately without pre-existing registration data, thus maintaining both productivity and precision.
Solution Approach 2:
The patent replaces traditional mechanical registration systems with an imaging-based detection system. Instead of relying on physical measurement tools or pre-stored package data, the system uses imaging sensors to detect geometric features and algorithmically generates handling parameters, achieving both speed and accuracy.
3Measurement precision
If the system captures and processes imaging data for every package, then registration accuracy improves, but computational complexity and processing time increase
Solution Approach 1:
The system extracts only the essential geometric features (exposed edges and corners) from package imaging data, rather than processing complete package models or all visible surfaces. This selective extraction of critical features maintains registration accuracy while significantly reducing computational complexity and processing requirements.
Data Source
AI summary
The present disclosure relates to methods and systems for generating a verified minimum viable range (MVR) of an object. An exposed outer corner and exposed edges of an object may be identified by processing one or more image data. An initial MVR may be generated by identifying opposing parallel edges opposing the exposed edges. The initial MVR may be adjusted, and the adjusted result may be tested to generate a verified MVR.