Banking Automation Robot SLAM for Wheel-Slip Navigation
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Solution Overview
Problem
Current banking automation technologies face inaccuracies in robot navigation due to wheel slipping and skidding, leading to erroneous mapping and localization, which compromises the safety and efficiency of automated banking systems.
Innovation Solution
Implementing Simultaneous Localization and Mapping (SLAM) with rotary encoders and laser measurement technology to correct wheel encoder data, ensuring accurate mapping and localization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If dead reckoning is used for robot navigation, then the system is simple to implement, but mapping accuracy deteriorates due to wheel slipping and skidding
Solution Approach 1:
The patent introduces laser measurement technology as an intermediary to correct the inaccurate encoder data. The laser range finder measures actual distances to features in the environment, and these measurements serve as a mediator to correct the position estimates derived from wheel encoders, thereby resolving the inaccuracy caused by wheel slipping and skidding.
Solution Approach 2:
The system implements feedback by continuously comparing the position estimated from wheel encoders with the actual position determined through laser range finding and map matching. The discrepancy between these two position estimates is used to correct the encoder data, creating a closed-loop feedback mechanism that improves mapping accuracy while maintaining the simplicity of the encoder-based navigation.
2Device complexity
If wheel encoder data is used without correction, then the navigation system remains simple, but localization accuracy deteriorates
Solution Approach 1:
The patent replaces the purely mechanical wheel encoder-based localization system with a hybrid system that incorporates optical laser measurement. The laser range finder substitutes for the mechanical encoder system in determining actual position, providing accurate localization data that corrects the mechanical encoder's inaccuracies without requiring a complete overhaul of the navigation system.
3Reliability
If accurate mapping is achieved through correction methods, then robot navigation reliability improves, but system complexity increases
Solution Approach 1:
The laser range finder serves multiple functions: it measures distances for mapping, provides feedback for position correction, and enables map matching for localization. This multi-functionality allows the system to achieve reliable navigation and accurate mapping without adding separate dedicated components for each function, thereby limiting the increase in system complexity.
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
SLAM provides significantly more accurate mapping and localization, reducing errors and enhancing the safety and efficiency of banking automation by preventing robots from reaching incorrect lockers and improving security and privacy for customers.
Implementation Method 1
the position is determined by rotary wheel encoders
Implementation Method 2
Implementing Simultaneous Localization and Mapping (SLAM) with rotary encoders and laser measurement technology to correct wheel encoder data
Data Source
AI summary
A banking automation system comprising a robot for robotically assisting a plurality of individuals in retrieval and storage of goods deposited in a funk, wherein during said retrieval and storage of goods by the robot: (a) each of the plurality of the individuals maintains privacy by being placed in a private location, (b) the plurality of the individuals are able to retrieve and store goods simultaneously, and (c) identification of each of the plurality of the individuals is verified biometrically.