Object Induction for Unknown SKU Handling Parameter Assignment
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Solution Overview
Problem
Existing object distribution systems face challenges in efficiently and cost-effectively handling a wide variety of objects of different sizes, weights, volumes, and shapes, particularly those with low pose or position authority, and in processing unknown objects without manual intervention.
Innovation Solution
An object induction system that includes an analysis system for perception data, an association system for matching object characteristics with recorded data, and an assignment system for determining programmable motion device handling parameters, such as vacuum pressure and end effector pose, to efficiently handle and process diverse objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated systems handle a wide variety of objects with varying sizes, weights, and shapes, then productivity increases, but device complexity increases
Solution Approach 1:
The system dynamically adjusts handling parameters (vacuum pressure, end effector pose, speed, acceleration) based on perceived object characteristics. This allows a single automated system to adapt to various object types without requiring multiple specialized devices, thereby increasing productivity while managing complexity through software-based parameter control.
Solution Approach 2:
The induction system automatically perceives object characteristics and determines handling parameters without manual intervention. The system self-configures for each object type by comparing perceived data with recorded data in the object information database, eliminating the need for manual programming or setup for each new object variety.
2Productivity
If the system processes unknown objects without manual intervention, then productivity increases, but measurement precision requirements increase
Solution Approach 1:
The system performs preliminary perception and analysis of unknown objects at the induction stage, comparing their characteristics against the object information database before they enter the main processing flow. This preliminary characterization enables the system to determine appropriate handling parameters in advance, maintaining high automation while ensuring accurate measurement and classification of diverse objects.
Solution Approach 2:
The system uses feedback from the characteristic perception system and comparison with recorded data to continuously refine its understanding of object characteristics. This feedback mechanism allows the system to improve measurement precision over time as it encounters more object varieties, enabling higher automation without sacrificing accuracy.
3Adaptability or versatility
If the system accommodates objects with low pose or position authority, then adaptability increases, but control difficulty increases
Solution Approach 1:
The system adjusts handling parameters such as vacuum pressure, end effector pose, speed, and acceleration based on the specific characteristics of objects with low pose or position authority. By dynamically changing these parameters, the system can effectively control and manipulate diverse object types without increasing operational complexity for the user.
Solution Approach 2:
The system employs dynamic control strategies that adapt to the specific properties of each object being handled. For objects with low pose or position authority, the control parameters are dynamically adjusted in real-time based on perceived characteristics, allowing the system to maintain ease of operation while handling a wide variety of object types.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system enables efficient and cost-effective handling of objects of varying sizes and compositions by determining appropriate handling parameters, reducing manual intervention, and improving processing efficiency in object distribution systems.
Implementation Method 1
The programmable motion device handling parameters include any of a vacuum pressure at an end effector
Data Source
AI summary
An object induction system is disclosed for assigning handling parameters to an object. The system includes an analysis system, an association system, and an assignment system. The analysis system includes at least one characteristic perception system for providing perception data regarding an object to be processed. The association system includes an object information database and assigns association data to the object responsive to commonality with of any of the characteristic perception data with any of the characteristic recorded data. The assignment system is for assigning programmable motion device handling parameters to the indicia perception data based on the association data, and includes a workflow management system as well as a separate operational controller.