Telepresence Robot Control for Network Delay Correction
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Solution Overview
Problem
Telepresence robots experience incorrect operations due to network delays, which can lead to accidents or failures in real-time remote control, and autonomous operation limits operator control freedom.
Innovation Solution
A telepresence robot is equipped with a moving image acquisition unit, a receiving unit, a movement destination predicting unit, and an autonomous control unit that predicts and corrects movement destinations based on real-time environmental information, reducing the impact of network delays by autonomously adjusting movements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous operation is implemented to correct network delay issues, then operational accuracy is improved, but operator control freedom deteriorates
Solution Approach 1:
The system dynamically adjusts the degree of autonomy based on real-time conditions. The autonomous control unit activates only when network delay exceeds a threshold, allowing operator control when conditions permit while providing autonomous correction when needed, thus balancing reliability and operator freedom dynamically
Solution Approach 2:
The system implements feedback by continuously monitoring network delay conditions and using this information to determine when autonomous correction should be activated. The autonomous control unit receives feedback about the timing discrepancy between captured images and operation instructions, and only intervenes when this feedback indicates problematic delay conditions
2Measurement precision
If autonomous correction is activated to compensate for network delay, then movement accuracy is improved, but system complexity increases
Solution Approach 1:
The control system is segmented into distinct functional units: a network delay detection unit, a movement destination prediction unit, and an autonomous control unit. This segmentation allows each component to perform a specific function, simplifying the overall system architecture while achieving accurate movement correction through coordinated operation of specialized modules
Solution Approach 2:
The movement destination prediction unit performs preliminary action by predicting where the robot should move based on the operation instruction and current delay conditions. This prediction is prepared in advance and then executed by the autonomous control unit, separating the computational prediction phase from the execution phase and reducing real-time processing complexity
Data Source
AI summary
A robot is configured to move in accordance with an operation instruction made by an operator via a network. The robot includes a moving image acquisition unit, a receiving unit, a movement destination predicting unit, and an autonomous control unit. The moving image acquisition unit is configured to capture, as a moving image, an environment around the robot. The receiving unit is configured to receive the operation instruction. The movement destination predicting unit is configured to predict a movement destination of the robot based on the operation instruction received by the receiving unit. The autonomous control unit is configured to autonomously correct movement to the movement destination in accordance with the operation instruction, based on information on the environment obtained from a moving image at an instant when the operation instruction is received.