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Robot gaining robust pouring skills through fusing vision and audio
Zhongli Wang1, Guohui Tian1, Hao Pan1
1School of Control Science and Engineering, Shandong University, 17923 Jingshi Road, Jinan, China.
ISA Transactions
|September 29, 2022
Summary
This study introduces a novel visual-audio fusion network for service robots to accurately estimate liquid height during pouring tasks. This multimodal approach enhances robot pouring skills by combining visual and auditory data for precise control.
Area of Science:
- Robotics
- Artificial Intelligence
- Sensor Fusion
Background:
- Accurate liquid height estimation is critical for service robot pouring tasks.
- Individual vision or audio sensors provide insufficient accuracy for robust liquid estimation.
- Existing methods lack the precision required for complex pouring operations.
Purpose of the Study:
- To develop a multimodal visual-audio information fusion network for enhanced robot pouring.
- To improve the accuracy and robustness of liquid height and cup state estimation.
- To enable service robots with superior pouring capabilities.
Main Methods:
- Visual features extracted using a residual network with an attention model.
- Audio features extracted via Fast Fourier Transform (FFT) and Long Short-Term Memory (LSTM).
- Fusion of visual and audio features using a fully connected network for outputting liquid height and cup state.
- A sinusoidal and transient fusion control method for gripper angle output.
Main Results:
- The proposed visual-audio fusion network significantly improves liquid height estimation accuracy.
- The system effectively estimates the state of the cup during the pouring process.
- Experimental validation confirms the algorithm's effectiveness in service robot pouring tasks.
Conclusions:
- Multimodal sensor fusion is superior to single-modality sensing for robot pouring tasks.
- The developed network provides a robust solution for accurate liquid estimation and control.
- This approach enables service robots to perform pouring tasks with enhanced precision and skill.
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