A Triboelectric-Based Artificial Whisker for Reactive Obstacle Avoidance and Local Mapping

Area of Science:

• Robotics
• Materials Science
• Bio-inspired Engineering

Background:

• Designing efficient tactile sensors for autonomous robots remains a significant challenge.
• Existing sensors often struggle with performance in unknown or dark environments.
• Mimicking biological systems offers a promising avenue for advanced robotic perception.

Purpose of the Study:

• To propose and evaluate a novel bioinspired triboelectric whisker sensor (TWS) for autonomous robots.
• To demonstrate the sensor's capability for reactive obstacle avoidance and local mapping.
• To showcase the sensor's functionality in diverse applications, including low-light conditions.

Main Methods:

• Development of a triboelectric nanogenerator (TENG) based whisker sensor mimicking rat whisker follicles.
• Utilizing triboelectrification and electrostatic induction between PTFE and copper films for voltage generation.
• Implementing a biologically inspired structural design for position and area sensing.

Main Results:

• The TWS successfully generates output voltage upon mechanical stimulation.
• The sensor accurately senses contact position and approximates external stimulation area.
• Demonstrated applications include controlling LEDs, reactive obstacle avoidance, and local mapping for autonomous vehicles.

Conclusions:

• The proposed triboelectric whisker sensor is an effective tactile sensing solution for robotics.
• The bioinspired design enhances perception capabilities, particularly in challenging environments.
• The TWS shows potential for scalable integration into various autonomous robotic systems.