Sensorized Fur for Tactile Human-Robot Interaction

The increasing prevalence of emotional support animals as a coping mechanism for stressors prompts the need for innovative solutions in environments where live animals are impractical. This project aims to enhance the approachability and responsiveness of quadrupedal robots by integrating a pressure-sensitive fur outer layer, mimicking tactile interactions akin to real animals. Drawing inspiration from human-wearable technologies, particularly sensorized fabrics, our approach emphasizes flexibility and elasticity. Through a series of experiments evaluating various fabrics for their signal transference and structural support, we identified cotton-based fabrics as most suitable. Integrating these fabrics with Arduino microcontrollers, we observed sensor activation rates and accuracy. Results indicate that thinner, natural fiber fabrics outperform thicker synthetics in sensor responsiveness. Additionally, sensor discrepancies highlight the importance of fabric-sensor alignment for accurate touch registration. This research lays the groundwork for future developments in robotic companionship, offering potential applications in therapy, education, and beyond.