Robotic Bin Picking with Weight-Based Double-Pick Detection
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Solution Overview
Problem
Automated robotics face challenges in singulating individual objects from a collection, especially when objects of different types require distinct processing, as existing AI solutions are error-prone and require extensive training.
Innovation Solution
A singulation system comprising a robotic manipulator, a sensor to measure object weight, and a computer system to confirm successful singulation by comparing the measured weight to an acceptable range, using RFID tags and RF signals for object identification and conveyor belt diverters to manage object flow.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If artificial intelligence technologies (e.g., convolutional neural networks) 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 complex AI optical recognition systems with a simpler weight-based detection system. Instead of using convolutional neural networks to visually identify and classify objects, the system uses a scale to measure object weight and compares it against pre-stored weight ranges for different object types. This substitution eliminates the need for extensive AI training while maintaining effective object identification and sorting capabilities.
2Adaptability or versatility
If artificial intelligence solutions are used for object recognition, then object type identification is improved, but error rate increases due to AI subjectivity
Solution Approach 1:
The patent changes the identification parameter from visual characteristics (subjective to AI interpretation) to physical weight (objective and precise). By measuring object weight and comparing it against defined weight ranges for different object types, the system achieves more reliable and consistent object identification without the errors associated with AI visual recognition.
3Measurement precision
If weight measurement is used to confirm successful singulation, then detection accuracy is improved, but system complexity increases due to additional sensors
Solution Approach 1:
The patent integrates the weight measurement function into the existing conveyor system, allowing the scale to serve multiple purposes: measuring object weight for identification, confirming successful singulation, and potentially monitoring product quality. This multi-functional approach minimizes additional system complexity while achieving high detection accuracy.
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
Effectively separates individual objects and determines successful singulation, improving the accuracy and efficiency of object processing in diverse industrial scenarios by using weight measurement and RFID-based identification.
Implementation Method 1
a sensor configured to measure a weight of the individual object
Implementation Method 2
using RFID tags and RF signals for object identification
Data Source
AI summary
A system for singulating objects includes a bin for receiving a collection of objects, a robotic manipulator for grasping objects from the bin, a scale for measuring a weight of the grasped objects, and a computer system for comparing measured weights to acceptable weight ranges to detect double picks. Methods include determining acceptable weight ranges by weighing a plurality of objects.