Remote Robot Monitoring Using External State Verification
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Solution Overview
Problem
Existing remote monitoring systems fail to detect anomalies in robot states when an attacker alters peripheral information, making it difficult to identify malicious control of robots.
Innovation Solution
A remote monitoring system that uses state information from the robot and sensing information from external devices to estimate and compare the robot's state, detecting anomalies even if peripheral information is altered.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If peripheral information is used for anomaly detection, then detection capability is improved, but vulnerability to attacker alteration increases
Solution Approach 1:
The patent introduces an intermediary estimation process that indirectly verifies the robot's state through multiple independent information sources (sensing device data, travel history, map information) rather than directly trusting the robot's reported state. This intermediary verification mechanism detects anomalies without requiring direct access to potentially tampered peripheral information.
Solution Approach 2:
The system implements feedback by continuously comparing the robot's self-reported state with the independently estimated state derived from external sensing data. When discrepancies are detected, the system generates alerts and can trigger corrective actions, creating a closed-loop verification system that improves both detection capability and reliability.
2Measurement precision
If multiple information sources are used for state estimation, then detection accuracy is improved, but system complexity increases
Solution Approach 1:
The patent segments the state estimation process into distinct functional modules: a sensing device for collecting raw data, a travel history storage unit for recording past states, a map information storage unit for spatial context, and an anomaly detection unit for comparison and analysis. This segmentation allows each component to perform a specific function, improving estimation accuracy while managing complexity through modular design.
Data Source
AI summary
A remote monitoring system is a remote monitoring system that detects an anomaly in a state of a monitored target that operates autonomously, and the remote monitoring system includes: a state obtainer that obtains state information indicating a state of the monitored target from the monitored target; an information obtainer that obtains first sensing information indicating a result of sensing of the monitored target from an external information source that is provided outside the monitored target and performs sensing of the monitored target; a state estimator that estimates a first state of the monitored target based on the first sensing information; and a state comparer that compares the state information with estimated state information that is based on the first state.