Robot Object Recognition via Mobile Intermediary
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Solution Overview
Problem
Robots face challenges in accurately recognizing objects in their environment, leading to incorrect identification and potential damage or misuse of objects, as existing technologies lack effective methods for comprehensive object recognition and learning from external sources.
Innovation Solution
A system that enables robots to navigate and detect objects using sensors, capture images, and utilize mobile tools for user input to identify unrecognized objects, integrating data from external sources like search engines and product catalogs, and associating software applications with identified objects to perform specific actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a robot uses basic sensor detection for object recognition, then the device complexity is low, but the measurement precision of object identification is insufficient leading to incorrect identification
Solution Approach 1:
The patent introduces a mobile tool as an intermediary device between the robot and the user. The mobile tool receives object data from the robot's sensors, presents it through a user interface, and collects user-provided identification information. This intermediary approach allows the robot to achieve high identification accuracy without requiring complex built-in recognition systems, as the mobile tool handles the complex processing and user interaction externally.
2Measurement precision
If a robot attempts to automatically identify all unrecognized objects using external data sources, then the object recognition capability improves, but the loss of time for data processing and search increases
Solution Approach 1:
The system implements self-service by enabling users to directly provide object identification information through the mobile tool's user interface. When the robot detects an unrecognized object, instead of automatically searching through multiple external data sources which would consume significant time, the system allows users to quickly input identification information themselves. This user-provided data is then used to update the robot's object database, achieving fast and accurate object recognition without extensive automated data processing.
3Adaptability or versatility
If a robot maintains a comprehensive database of recognized objects, then the adaptability to different objects improves, but the device complexity and data storage requirements increase
Solution Approach 1:
The mobile tool serves as an intermediary for database management between the robot and external data sources. Rather than the robot directly maintaining and managing a comprehensive object database which would increase its complexity, the mobile tool handles data collection, processing, and database updates. The robot simply interacts with the mobile tool to add new object information, allowing the system to achieve comprehensive object recognition capabilities while keeping the robot's internal complexity low.
4Measurement precision
If a robot uses user input through a mobile tool to identify objects, then the measurement precision of object identification improves, but the ease of operation decreases due to requiring user interaction
Solution Approach 1:
The system empowers users to directly input object identification information through an intuitive user interface on the mobile tool. This self-service approach allows users to quickly and easily provide object names and descriptions without requiring complex robot programming or configuration. The user interface is designed to be simple and user-friendly, allowing even non-technical users to easily identify objects by providing basic information, which is then automatically processed and added to the robot's database.
Data Source
AI summary
The subject matter of this specification generally relates to object recognition for robots. In some implementations, a method includes navigating a robot through an area to identify objects located in the area. The robot detects the presence of the objects in the area using one or more sensors. A determination is made that an object detected by the robot is not recognized by the robot. In response to determining that the object is not recognized by the robot, a user interface that includes data describing the object that is not recognized is provided. The user interface can be configured to receive user input that identifies the object. In response to interaction with the user interface, data identifying the object is received. A database for the robot is updated with the data identifying the object.