Robot Location Recognition Across Data Centers
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Solution Overview
Problem
Autonomous robots deployed in multiple data centers face challenges in determining their location when moved between sites, leading to incorrect sensor data collection as they lack self-awareness of their location during sleep mode.
Innovation Solution
A method and system that collect environmental data before and after the robot enters standby mode, generating location signatures for comparison to determine location changes, ensuring accurate data collection by identifying location shifts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the robot enters standby mode to save energy, then energy consumption is reduced, but the robot cannot determine its location when moved between data centers
Solution Approach 1:
The robot captures environmental data and generates a location signature before entering standby mode. This preliminary action stores location information in advance, enabling the robot to determine its location after waking up without consuming energy during standby period.
Solution Approach 2:
The robot creates a copy of its location information in the form of a location signature based on environmental data. This signature serves as a portable representation of the robot's location that can be stored and compared later, eliminating the need for continuous energy consumption to maintain location awareness.
2Measurement precision
If the robot continuously monitors its location, then location accuracy is maintained, but energy consumption increases
Solution Approach 1:
Instead of continuous monitoring, the robot performs location verification periodically by comparing location signatures at specific intervals (e.g., before and after standby mode). This periodic approach maintains location accuracy while significantly reducing energy consumption compared to continuous monitoring.
Solution Approach 2:
The system uses a lightweight location signature (a simplified representation of environmental data) instead of maintaining complex continuous location tracking. This disposable signature can be quickly generated and compared, providing accurate location information with minimal energy expenditure.
3Adaptability or versatility
If the robot is moved between multiple data centers, then versatility is improved, but the robot cannot provide correct sensor data without knowing its location
Solution Approach 1:
The robot uses environmental data as feedback to generate and compare location signatures. By continuously comparing the current location signature with stored signatures, the robot receives feedback about its location status, ensuring it can provide correct sensor data associated with the appropriate data center.
Solution Approach 2:
The robot autonomously determines its own location by comparing its generated location signature with stored signatures from different data centers. This self-service capability eliminates the need for external location tracking systems, enabling the robot to reliably operate across multiple data centers while maintaining data accuracy.
Data Source
AI summary
A method for recognizing a location of a robotic device includes collecting first environmental data corresponding to a first current location of the robotic device, generating a first location signature based on the first environmental data, driving the robotic device to enter a standby mode at a first time, driving the robotic device to wake up from the standby mode after a predetermined time elapses at a second time after the driving the robotic device to enter the standby mode, collecting second environmental data corresponding to a second current location of the robotic device, generating the second location signature generated based on the second environmental data, comparing the first and second location signatures, and determining whether a location of the robotic device has been changed between the first and second times based on a comparison result between the first and second location signatures.