Large-Area and Low-Cost Force/Tactile Capacitive Sensor for Soft Robotic Applications

Area of Science:

• Robotics
• Materials Science
• Sensor Technology

Background:

• Existing e-skin sensors are limited to detecting conductive objects.
• There is a need for versatile tactile sensors in soft robotics for object manipulation.
• Current sensors often struggle with noise and non-linearity in force calibration.

Purpose of the Study:

• To design and develop a novel, low-cost, multi-touch capacitive sensor.
• To enable tactile sensing of both contact point and applied force, irrespective of object conductivity.
• To integrate this sensor into a soft robot gripper for advanced control.

Main Methods:

• Fabrication using inexpensive, readily available materials like conductive ink and silicone.
• Utilizing capacitive variations to detect multi-touch points and applied force.
• Employing a neural network for accurate force calibration against a commercial force sensor.
• Integrating the sensor into a soft robot gripper for real-world testing.

Main Results:

• The sensor successfully detects five multi-touch points simultaneously.
• It accurately measures applied force on objects regardless of their conductivity.
• The neural network effectively calibrates force measurements amidst noise and non-linearity.
• The soft robot gripper demonstrated effective object grasping with position and force feedback.

Conclusions:

• The developed sensor offers a flexible, low-cost, and versatile tactile sensing solution for soft robotics.
• This technology advances robotic manipulation capabilities by providing non-conductive object interaction and precise force feedback.
• The sensor's design and calibration method show significant potential for broader applications in human-robot interaction and advanced robotics.