Edge-Controlled End Devices for Small High-Precision Robots
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Solution Overview
Problem
The challenge is to enhance the performance and precision of robots while reducing manufacturing costs and power consumption, particularly in small-sized robots, where the increased size and power demands of high-performance processors are a limiting factor.
Innovation Solution
A communication system comprising an end device, an edge server, and a cloud server, where the edge server acts as a brain to wirelessly control the end device, processing control commands and transmitting them to the end device, thereby reducing the need for high-processing-capacity end devices and allowing for more efficient resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the performance of the processor is enhanced to achieve higher performance and precision operation of the robot, then the operation precision is improved, but the manufacturing cost and power consumption increase
Solution Approach 1:
The patent extracts the high-performance processing function from the end device (robot) and relocates it to an external server. The server handles complex control command generation and processing, while the end device only executes received commands, thereby reducing its processor requirements, power consumption, and cost while maintaining high operation precision.
Solution Approach 2:
The patent introduces a server as an intermediary between the control system and the end device. The server acts as a remote brain that processes data and generates control commands, which are then transmitted to the end device for execution. This intermediary architecture allows the end device to operate with high precision without requiring a powerful local processor.
2Manufacturing precision
If the size of the processor is increased to improve processing performance, then the operation precision is improved, but the device size increases making it difficult to operate small sized robots
Solution Approach 1:
The patent extracts the large processor from the end device and places it in an external server. This allows small-sized robots to achieve high operation precision by relying on the server's processing power rather than requiring a large local processor, thus maintaining compact device dimensions.
Solution Approach 2:
The patent moves the processing function from the spatial dimension (physical processor size within the device) to the network dimension (remote server accessed via communication). This dimensional shift allows small devices to access powerful processing capabilities without increasing their physical size.
3Adaptability or versatility
If various functions are added to the electronic device to perform complex tasks, then the functionality is improved, but the device complexity increases
Solution Approach 1:
The patent makes the server a universal processing platform that can handle multiple different tasks and control various types of end devices. The server provides multi-functional capabilities including data processing, control command generation, and coordination, allowing simple end devices to perform complex functions through the server's universal support.
Solution Approach 2:
The patent extracts complex functional capabilities from the end device and consolidates them in the server. The end device retains only essential functions (sensing, communication, execution), while the server handles complex data processing, decision-making, and coordination, thereby reducing device complexity while maintaining versatility.
Data Source
AI summary
An end device including a communication module configured to wirelessly communicate with an edge server managed by a cloud server, and at least one processor connected to the communication module, the at least one processor configured to receive a control command from the edge server through the communication module, and operate according to the control command.