RF Transponder Singulation for Mixed-Object Robotic Picking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In industrial settings, automated robotic systems face challenges in identifying and processing a collection of objects with different types, as existing AI solutions require extensive training and are prone to errors, especially when dealing with diverse object types and properties.
Innovation Solution
A system utilizing RF transponders equipped with identifiers, where a robotic manipulator and antennas emit and receive signals to differentiate between objects based on signal characteristics, allowing for accurate identification and subsequent processing of each object type.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If artificial intelligence technologies are implemented to optically recognize objects, then object recognition capability is improved, but training time and computational resources increase significantly
Solution Approach 1:
The patent replaces optical recognition systems with RF transponder-based identification. Instead of using AI models that require extensive training to visually identify objects, the system uses RF signals that provide direct digital identification, eliminating the need for complex optical processing and AI training.
Solution Approach 2:
The patent introduces RF transponders as an intermediary between the object and the identification system. The transponders carry identification information that can be directly read by RF readers, serving as a mediator that simplifies the identification process compared to direct optical recognition.
2Difficulty of detecting and measuring
If artificial intelligence solutions are used for object identification, then object type classification is improved, but error rate increases due to model limitations
Solution Approach 1:
The patent replaces AI-based optical classification with deterministic RF transponder reading. The transponders contain pre-programmed identification data that is read directly by RF readers, providing reliable and consistent identification without the variability and error-proneness of AI model predictions.
3Adaptability or versatility
If optical recognition systems are implemented to handle diverse object types, then object identification capability is improved, but system complexity increases
Solution Approach 1:
The patent replaces complex optical recognition systems with simple RF transponder-based identification. Instead of requiring sophisticated cameras, lighting, and AI processing hardware, the system uses relatively simple RF readers and transponders that can handle diverse object types through standardized RF communication.
Solution Approach 2:
The patent implements a universal RF transponder system that can identify any object type through a standardized interface. The transponders can be programmed with various identification data, making the system versatile for handling diverse objects without requiring different recognition systems for each object type.
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
Enables efficient and accurate identification and processing of diverse objects by comparing signal characteristics, reducing errors and the need for extensive AI training, thereby improving automation in manufacturing and logistics operations.
Implementation Method 1
A first plurality of reply signals are received by the set of antennas during a first time period of the time period, the first plurality of reply signals being generated by the transponders of the plurality of objects in response to the interrogation signals
Data Source
AI summary
Systems and methods for identifying an object being extracted from or moved among a plurality of objects in a designated area, the plurality of objects equipped with transponders that emit a reply signal encoding an identifier. A set of antennas proximately located to the designated area are controlled to emit interrogation signals that cause the transponders to emit the reply signal in response. Sets of information are obtained regarding the reply signals received by the set of antennas, the reply signals including an indication of a signal characteristic and an identifier particular to the type of the object. The sets of information are analyzed to identify an identifier of the object being extracted based on fluctuations in the signal characteristic relative to the plurality of objects. One or more operations may be performed involving the object based on identification of the identifier.