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Artificial Intelligence of Things (AIoT) Enabled Virtual Shop Applications Using Self-Powered Sensor Enhanced Soft
Zhongda Sun1,2,3,4, Minglu Zhu1,2,3,4, Zixuan Zhang1,3,4
1Department of Electrical & Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117576, Singapore.
Summary
This study introduces a smart soft robotic manipulator with integrated sensors for object recognition and temperature sensing. This enables advanced human-machine interfaces for industrial automation and virtual shopping experiences.
Area of Science:
- Robotics and Artificial Intelligence of Things (AIoT)
Background:
- AIoT advancements necessitate enhanced perception systems for robotic manipulators.
- Improved human-machine interaction is crucial for industrial automation and virtual environments.
Purpose of the Study:
- To develop a smart soft robotic manipulator with integrated tactile, length, and temperature sensors.
- To create a digital-twin-based remote interactive system for industrial automation and virtual shopping.
Main Methods:
- Integration of triboelectric nanogenerator tactile (T-TENG) and length (L-TENG) sensors.
- Incorporation of a poly(vinylidene fluoride) (PVDF) pyroelectric temperature sensor.
- Application of machine learning (ML) for sensor data processing and fusion.
Main Results:
- Achieved 97.143% accuracy in recognizing 28 different object shapes using fused T-TENG and L-TENG sensor data.
- Successfully obtained temperature distribution data via the pyroelectric sensor.
- Implemented a digital-twin-based virtual shop with real-time product feedback.
Conclusions:
- The proposed system offers a more immersive human-machine interaction experience.
- The smart soft robotic manipulator demonstrates potential as an advanced human-machine interface for unmanned workspaces.
- This technology supports applications in robotic-enabled industrial automation and virtual shopping.
