18539822. System And Method For Controlling A Robot Using Dimensionally Aware Rule Extraction simplified abstract (GM GLOBAL TECHNOLOGY OPERATIONS LLC)
Contents
- 1 System And Method For Controlling A Robot Using Dimensionally Aware Rule Extraction
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 System And Method For Controlling A Robot Using Dimensionally Aware Rule Extraction - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
System And Method For Controlling A Robot Using Dimensionally Aware Rule Extraction
Organization Name
GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor(s)
Abhinav Gaur of Lansing MI (US)
Kalyanmoy Deb of Okemos MI (US)
Debejyo Chakraborty of Novi MI (US)
Jeffrey A. Abell of Rochester Hills MI (US)
System And Method For Controlling A Robot Using Dimensionally Aware Rule Extraction - A simplified explanation of the abstract
This abstract first appeared for US patent application 18539822 titled 'System And Method For Controlling A Robot Using Dimensionally Aware Rule Extraction
Simplified Explanation
The system described in the abstract of the patent application involves a memory storing a dimensionally aware model, a processor, and instructions for executing the model. The instructions include identifying features from a set of data, applying the model to the features using a boundary representation, classifying the features as acceptable or unacceptable based on the boundary representation, generating alerts, and controlling a user device to obtain product features within the boundary representation.
- Memory stores dimensionally aware model
- Processor executes instructions
- Instructions include identifying features, applying model using boundary representation, classifying features, generating alerts, and controlling user device
Potential Applications
The technology described in the patent application could be applied in various fields such as:
- Quality control in manufacturing processes
- Anomaly detection in data analysis
- Product development and testing
Problems Solved
This technology helps in solving the following problems:
- Ensuring product features meet specified criteria
- Identifying and addressing anomalies in data
- Improving overall product quality and performance
Benefits
The benefits of this technology include:
- Enhanced accuracy in feature classification
- Real-time alerts for immediate action
- Streamlined product development processes
Potential Commercial Applications
Potential commercial applications of this technology could include:
- Quality control systems for manufacturing companies
- Data analysis tools for anomaly detection
- Product testing and validation software
Possible Prior Art
One possible prior art for this technology could be:
- Machine learning algorithms for feature classification and anomaly detection
Unanswered Questions
How does the system handle large volumes of data?
The abstract does not provide information on how the system manages and processes large amounts of data efficiently.
What is the accuracy rate of the classification process?
The abstract does not mention the accuracy rate of the classification process and how it is measured or validated.
Original Abstract Submitted
A system includes a memory storing a dimensionally aware model generated based on a training set and guided by feature dimensions and instructions for execution a processor. The instructions include, in response to receiving a set of data from a user device, identifying a set of features from the set of data and applying the dimensionally aware model to the set of features by implementing a boundary representation. The instructions include classifying the set of features as acceptable in response to the implementation of the boundary representation indicating the set of features are outside the boundary representation, classifying the set of features as unacceptable in response to the implementation of the boundary representation indicating the set of features are inside the boundary representation, generating, for display on the user device, an alert based on the classification and controlling a user device to obtain product features within the boundary representation
