Robotic Device Control via Cloud Beamforming
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Solution Overview
Problem
Current industrial robotics lacks reliable and efficient wireless communication between robotic devices and cloud-based control systems due to limitations in trustworthy low-latency wireless/wired links and strategic decision-making, hindering flexible and personalized production processes.
Innovation Solution
A robotic device control system utilizing cloud-based coordinated beamforming, which includes a radio base station, a beamforming controller, and a robotic device controller, to optimize wireless communication by selecting the best beam based on radio beam propagation information, reducing the need for extensive radio measurements and improving energy efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If wireless communication is used for cloud-based robotic control, then flexibility and reprogrammability are improved, but channel reliability and communication latency worsen
Solution Approach 1:
The system performs preliminary beam direction estimation using robot controller-assisted beamforming before actual communication occurs. The robotic device controller provides information about intended movement paths and operational context, allowing the beamforming controller to pre-calculate optimal beam directions, thereby reducing communication latency and improving reliability when communication actually occurs.
Solution Approach 2:
The system implements feedback mechanisms where the robotic device reports its actual position and communication quality metrics back to the beamforming controller. This feedback is used to refine future beam direction estimates and adjust beamforming parameters dynamically, improving channel reliability while maintaining wireless flexibility.
2Measurement precision
If extensive radio measurements are performed to determine optimal beams, then beamforming precision is improved, but measurement time and system complexity increase
Solution Approach 1:
Instead of performing comprehensive radio measurements across all possible beams, the system uses partial measurements combined with robot controller-assisted estimation. The robotic device controller provides predictive information about beam propagation based on intended movement paths, allowing the system to select optimal beams with fewer actual measurements, thereby reducing measurement time while maintaining precision.
Solution Approach 2:
The robotic device controller acts as an intermediary between the physical radio environment and the beamforming system. It translates robotic intent and environmental context into predictive beam propagation models, reducing the need for direct physical measurements and decreasing system complexity.
3Reliability
If multiple beams are measured and evaluated, then communication reliability is improved, but energy consumption increases
Solution Approach 1:
The system performs preliminary beam direction estimation using robot controller-assisted beamforming before actual communication occurs. By predicting optimal beam directions based on robotic intent and environmental context, the system can focus energy measurements and transmissions only on the most promising beams, reducing overall energy consumption while maintaining communication reliability.
Solution Approach 2:
The system dynamically adjusts beamforming parameters based on real-time robotic state and communication conditions. By changing beam directions, widths, and power levels adaptively rather than exhaustively searching all possibilities, the system achieves reliable communication with lower energy consumption.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances channel reliability and spectrum efficiency, reduces the number of radio measurements required, and improves energy efficiency by selecting the optimal beam for communication, thus enabling more flexible and reliable robotic device control in industrial environments.
Implementation Method 1
a beamforming controller coupled or integral to the radio base station for controlling beamforming between the radio base station and the robotic device
Data Source
AI summary
A robotic device control system is described. The robotic device control system includes: a radio base station for wireless communication with a robotic device; a beamforming controller coupled or integral to the radio base station for controlling beamforming between the radio base station and the robotic device; and a robotic device controller coupled to the beamforming controller, wherein the robotic device controller is configured to control the robotic device via the radio base station; wherein the robotic device control system is configured to provide an instruction, derived by the robotic device control system based on radio beam propagation information of the wireless communication between the radio base station and the robotic device, to the beamforming controller for controlling beamforming between the radio base station and the robotic device.