Remote Sensing Latency Compensation via Predictive Virtualization
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Solution Overview
Problem
Existing remote apparatus operation and sensing systems face challenges with high bandwidth requirements and latency issues, leading to inconsistent feedback and operator disorientation, particularly in situations where direct fiber optic links are impractical or unreliable.
Innovation Solution
The system employs prediction of future events to compensate for latency by generating virtualized views based on actual and predicted states of the apparatus and environment, reducing the need for real-time data transmission and allowing for de-coupled video between the apparatus and operator, thereby reducing bandwidth requirements and improving data compression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video, audio, and other data are transmitted in real-time from the apparatus to the operator, then the operator receives current feedback, but the bandwidth requirement becomes excessively large and latency increases
Solution Approach 1:
The system pre-processes and compresses video data on the apparatus side before transmission, performing necessary encoding and reduction operations in advance to minimize the bandwidth required for real-time transmission while maintaining feedback quality
Solution Approach 2:
The system extracts and transmits only the most critical feedback data elements in real-time, separating essential information from redundant data to reduce bandwidth requirements while preserving operational reliability
2Quantity of substance
If data is compressed and processed through repeaters for wireless transmission, then the bandwidth requirement is reduced, but latency increases causing operator disorientation
Solution Approach 1:
The system performs data compression and processing operations in advance on the apparatus side, completing all necessary data reduction before transmission begins to minimize the time data spends in transit and reduce overall latency
Solution Approach 2:
The system introduces a predictive rendering component that generates anticipated feedback based on current apparatus state and motion trends, acting as an intermediary that provides immediate visual feedback without waiting for actual transmitted data, thereby reducing perceived latency
3Manufacturing precision
If the operator waits for the apparatus to become static before providing inputs, then operational accuracy improves, but productivity decreases due to cautious operation
Solution Approach 1:
The system implements predictive feedback that shows the operator where the apparatus will be based on current motion and control inputs, allowing the operator to see the future state of the apparatus and make adjustments proactively rather than reactively, maintaining accuracy while enabling continuous motion
Solution Approach 2:
The system transitions from static feedback (showing only current apparatus state) to dynamic predictive feedback that continuously updates based on apparatus motion and control inputs, enabling the operator to maintain accuracy during dynamic operation rather than requiring static conditions
4Speed
If fiber optic links are used to reduce latency, then transmission speed improves, but the system becomes vulnerable to fiber severing and is impractical in many situations
Solution Approach 1:
The system replaces the physical fiber optic connection with a wireless communication system, eliminating the mechanical vulnerability of fiber cables while maintaining transmission performance through advanced compression and predictive techniques
Data Source
AI summary
A method and system for controlling an apparatus including receiving data indicative of an actual state of the apparatus, defining a first viewpoint relative to at least one of the environment and the apparatus, determining a first predicted state of the apparatus at time T, determining a first predicted state of the environment at time T, producing a first virtualized view from the first viewpoint, sending a first control signal to the apparatus after producing the first virtualized view, defining a second viewpoint relative to at least one of the apparatus and the environment, determining a second predicted state of the apparatus at time T+delta T, determining a second predicted state of the environment at time T+delta T, producing the second virtualized view from the second viewpoint, sending a second control signal to the apparatus after producing the second virtualized view, and changing the actual state of the apparatus based on the first control signal.


