Robotic Path Adaptation for Stable Cloud Radio Links
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Solution Overview
Problem
Current solutions for controlling robotic devices from the cloud are limited by the lack of trustworthy, low-delay wireless/wired links and strategic decision-making, particularly in industrial environments where wireless access to actuators, sensors, and controllers is essential.
Innovation Solution
A method and system that process data related to the path of movement of a robotic device equipped with a sensor in radio communication with a cloud platform, updating the path to improve radio communication efficiency by modifying parameters such as signal strength, bandwidth, and signal-to-noise ratio.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the robotic device follows a predefined path for industrial task execution, then productivity and manufacturing precision are improved, but radio communication quality between the sensor and cloud platform deteriorates due to obstructed signal paths
Solution Approach 1:
The patent applies dynamics by making the robotic device's path adaptive rather than static. The controller dynamically adjusts the path based on real-time radio communication quality feedback, allowing the system to switch between productivity-optimized paths and communication-optimized paths. This resolves the contradiction by enabling the system to maintain both high productivity and reliable communication through continuous adaptation.
Solution Approach 2:
The patent changes the parameter of the robotic device's movement path based on communication quality conditions. When communication quality falls below a threshold, the system modifies path parameters (position, orientation, speed) to improve signal strength. This parameter adjustment resolves the contradiction by allowing the system to prioritize communication reliability when needed while maintaining productivity when conditions permit.
2Measurement precision
If the sensor transmits data continuously to the cloud platform, then data accuracy and measurement precision are improved, but use of energy and bandwidth consumption increase
Solution Approach 1:
The patent implements periodic action by transmitting data only at specific intervals or under specific conditions rather than continuously. The sensor transmits data periodically or event-driven (e.g., when path adjustments are made, when communication quality changes, or at predetermined time intervals), which reduces energy consumption and bandwidth usage while maintaining sufficient measurement precision for industrial applications.
Solution Approach 2:
The system uses feedback mechanisms where the controller receives data from the sensor and cloud platform, processes it, and sends control signals back to adjust the robotic device's path. This feedback loop enables selective data transmission based on actual needs, improving energy efficiency by transmitting only when necessary for maintaining measurement precision and operational accuracy.
3Productivity
If the robotic device moves at high speed along the path, then productivity is improved, but radio communication stability deteriorates due to rapid position changes and signal interference
Solution Approach 1:
The patent applies dynamics by making the movement speed adaptive rather than constant. The controller dynamically adjusts the robotic device's speed based on real-time communication quality feedback. When communication stability deteriorates, the system reduces speed to improve signal stability; when communication is stable, the system increases speed to maintain productivity. This resolves the contradiction through continuous dynamic adjustment.
Solution Approach 2:
The system applies preliminary anti-action by proactively reducing movement speed before communication quality deteriorates further. The controller monitors communication parameters and preemptively adjusts speed to prevent signal instability, rather than waiting for problems to occur. This anticipatory adjustment maintains both productivity and communication stability.
Data Source
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AI summary
We generally describe a method comprising: processing (S602) data relating to a path of movement of a robotic device (122) comprising or coupled to a sensor (124) in radio communication with a cloud platform (112); and updating (S604), based on the processed data, the path of movement to improve the radio communication.