A Robotic Skin for Collision Avoidance and Affective Touch Recognition
Abstract
We describe a flexible robotic skin module that can measure proximity, contact and force, as well as algorithms for detecting obstacles, human hands, and affective touch gestures. The computational requirements of the proposed architecture are in line with the capabilities of a small microcontroller, allowing for a majority of the data to be processed colocated with the skin. The resulting system only communicates low-bandwidth information of interest, thereby solving challenges in routing high-bandwidth information and reducing the burden on a robot's central processing unit. We describe design and manufacturing of a 10.8 × 10.8 cm 2 skin patch containing 64 sensors, classification results for six different affective touch gestures, and a method that allows the skin to differentiate between an approaching human hand and various obstacles.
BibTeX
@article{Hughes-2018-126381,author = {Dana Hughes and John Lammie and Nikolaus Correll},
title = {A Robotic Skin for Collision Avoidance and Affective Touch Recognition},
journal = {IEEE Robotics and Automation Letters},
year = {2018},
month = {July},
volume = {3},
number = {3},
pages = {1386 - 1393},
}