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A Novel Tactile Sensor with Electromagnetic Induction and Its Application on Stick-Slip Interaction Detection
Yanjie Liu1, Haijun Han2, Tao Liu3
1State Key Laboratory of Robotics and System, Department of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China. yjliu@hit.edu.cn.
Sensors (Basel, Switzerland)
|March 30, 2016
Summary
This study introduces a new electromagnetic induction tactile sensor for real-time detection of robot-object stick-slip interactions. The sensor accurately identifies friction changes, enabling stable object manipulation and wafer transfer.
Area of Science:
- Robotics
- Sensor Technology
- Materials Science
Background:
- Real-time detection of contact states, like stick-slip interaction, is vital for stable robot grasping and manipulation.
- Existing methods may lack the precision or real-time capabilities required for complex robotic tasks.
Purpose of the Study:
- To present a novel tactile sensor utilizing electromagnetic induction for detecting stick-slip interactions.
- To develop a method for real-time stick-slip detection based on friction characteristics.
- To demonstrate the sensor's application in stable wafer transfer.
Main Methods:
- Developed an equivalent cantilever-beam model to relate sensor output to applied friction.
- Designed a tactile sensor based on electromagnetic induction principles.
- Integrated the sensor into a wafer transfer robot prototype, considering magnetic field distribution and sensor size.
Main Results:
- The tactile sensor's sensing mechanism was validated through experimentation.
- The sensor successfully detected stick-slip interactions on the contact surface during wafer transfer.
- The developed model accurately predicted the relationship between sensor output and friction.
Conclusions:
- The novel electromagnetic induction tactile sensor is feasible for real-time stick-slip detection.
- This technology enhances stable object manipulation in robotic systems.
- The sensing mechanism offers a new approach for detecting contact states in various robot-environment interactions.
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