researchacademic2024

Modular e-Skin

Bioinspired Electronic Skin

Modular e-Skin
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researchhapticsroboticsprostheticssensors

Inspiration from Nature

Human skin is a remarkable sensing organ - multiple layers with specialized receptors for pressure, vibration, temperature, and more. The Modular e-Skin project recreates this architecture electronically.

System Design

Layered Architecture

Inspired by human skin's structure:

  • Multiple silicone layers providing mechanical isolation

  • Each layer optimized for specific sensing tasks

  • Flexible and durable construction

Force Sensing

  • Two 16×16 FSR arrays (256 sensors each)

  • Normal force detection - how hard something is pressing

  • Shear force detection - sliding and friction sensing

Vibration Sensing

  • 4×4 accelerometer array - 16 high-frequency sensors

  • Fine texture detection - sensing surface properties

  • Dynamic interaction capture - impact and slip events

Technical Innovation

Scalable Electronics

  • Modular design - add more sensors as needed

  • Efficient data acquisition - handling hundreds of channels

  • Flexibility maintained - sensors conform to surfaces

Signal Processing

  • Real-time processing of multi-channel data

  • Feature extraction for material identification

  • Integration with robotic control systems

Validation

Using a robotic arm interacting with controlled objects, the e-skin demonstrated:

  • Texture differentiation - distinguishing surface roughness

  • Shape recognition - identifying object geometry

  • Stiffness estimation - sensing material compliance

Applications

Robotics

Giving robots the ability to feel what they're grasping - essential for manipulation tasks.

Prosthetics

Providing sensory feedback to prosthetic users - enabling them to feel through their artificial limbs.

Human-Machine Interaction

Enabling more natural interfaces where touch matters.

Open Source

This system is designed as an open platform, allowing researchers worldwide to build upon this work and advance the field of artificial touch sensing.