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A New Positioning Method Based on Multiple Ultrasonic Sensors for Autonomous Mobile Robot.
Mingqi Shen1, Yuying Wang1, Yandan Jiang1
1State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China.
This study introduces a novel ultrasonic positioning method for mobile robots, achieving high accuracy without temperature data. The new approach significantly improves positioning accuracy compared to conventional methods.
Area of Science:
- Robotics
- Sensor Technology
- Navigation Systems
Background:
- Accurate positioning is crucial for autonomous mobile robot navigation.
- Conventional ultrasonic positioning methods often require temperature compensation for optimal accuracy.
- Existing methods can be computationally intensive or lack precision.
Purpose of the Study:
- To develop a novel, high-accuracy ultrasonic positioning method for autonomous mobile robots.
- To eliminate the need for additional temperature information in ultrasonic positioning.
- To establish generalized and simplified measurement models for versatile sensor configurations.
Main Methods:
- Utilizing three ultrasonic sensors to obtain time-of-flight signals.
- Developing a generalized measurement model for arbitrary sensor arrangements.
- Establishing a simplified model optimized for linear/simplified sensor configurations.
- Calculating target coordinates using ratios of time-of-flight measurements.
Main Results:
- Experimental validation confirmed the feasibility and effectiveness of the proposed method.
- Both generalized and simplified models successfully implemented positioning.
- The new method demonstrated significantly improved positioning accuracy over conventional approaches.
- Accuracy comparable to temperature-compensated methods was achieved without extra sensors or data.
Conclusions:
- The proposed ultrasonic positioning method offers a robust and accurate solution for autonomous mobile robots.
- The method achieves high precision without relying on environmental temperature data.
- The developed models provide flexibility for various sensor setups, enhancing practical applicability.
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