Data processing device, data processing method, and cooking robot
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Solution Overview
Problem
Existing technologies fail to adaptively change software of devices performing sensing based on the situation or sensing target, limiting optimal algorithm usage in sensor devices like robots, mobile objects, and smartphones.
Innovation Solution
A data processing device and cooking robot system that includes a sensing control unit to adaptively select and execute object sensing programs based on sensor data, allowing for optimal algorithm selection and execution tailored to the sensing condition, and integrates a cooking operation plan setting unit to perform cooking operations based on sensing results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed sensing algorithm is used in the sensor device, then the device complexity is reduced, but the adaptability to different sensing conditions deteriorates
Solution Approach 1:
The patent implements dynamic algorithm selection by equipping the sensor device with multiple sensing algorithms and a selection mechanism that adapts to different sensing conditions. The device dynamically switches between algorithms based on the specific sensing task, making the system both adaptable and manageable through structured control.
Solution Approach 2:
The sensor device is designed with multi-functionality by incorporating multiple sensing algorithms that can handle various sensing conditions and target objects. This universal design allows a single device to perform diverse sensing tasks without requiring separate specialized devices for each condition.
2Adaptability or versatility
If multiple sensing algorithms are stored in the sensor device, then the adaptability to different sensing conditions is improved, but the device complexity increases
Solution Approach 1:
The sensor device performs self-service by automatically selecting the appropriate sensing algorithm based on the sensing conditions without requiring manual intervention. The device autonomously manages its own software configuration, reducing the operational complexity despite having multiple algorithms available.
Solution Approach 2:
The system uses feedback mechanisms to monitor sensing conditions and automatically select the most suitable algorithm. This feedback-driven approach simplifies software management by providing automated decision-making logic that reduces manual configuration complexity while maintaining high adaptability.
3Measurement precision
If the sensing algorithm is changed according to the sensing target, then the measurement precision is improved, but the ease of operation deteriorates
Solution Approach 1:
The sensor device automatically selects the appropriate sensing algorithm based on the detected sensing target without requiring user intervention. This self-service capability maintains high measurement precision for different targets while preserving ease of operation by eliminating manual algorithm selection.
Solution Approach 2:
The system dynamically adapts the sensing algorithm to match the sensing target automatically. This dynamic adjustment ensures optimal measurement precision for each target type while maintaining ease of operation through automated target recognition and algorithm matching.
Data Source
AI summary
There is provided a data processing device, a data processing method, and a cooking robot that allow for object sensing with use of an appropriate algorithm. The data processing device according to one aspect of the present technology adaptively selects, in accordance with an object sensing condition, and executes an object sensing program in which an object sensing algorithm for sensing an object on the basis of sensor data output from a sensor mounted on a robot is defined. The present technology can be applied to sensor devices mounted on various devices.