TY - GEN
T1 - Modular, Multi-Layer e-Skin for Robotics Investigations and Applications
AU - Devillard, Alexis W.M.
AU - Dutta, Anirvan
AU - Zhang, Zhihuan
AU - Cheng, Xiaoxiao
AU - Kaboli, Mohsen
AU - Burdet, Etienne
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Like human skin, robotic electronic skin (e-skin) must protect the body from external threats and remain sensitive to the environment's characteristics while interacting with it. These conflicting requirements make e-skin design challenging. This work presents a modular, easy-to-replicate, and scalable bioinspired e-skin that uses layered silicone encapsulation with force-sensing arrays and accelerometers. This design enables control over the mechanical properties and sensor density, improving normal and shear force sensing and high-frequency vibration detection. The design allows us to seamlessly explore the mechanical properties of e-skin for sensing and adjust them for specific applications. We have characterized and systematically evaluated this e-skin using objects with controlled mechanical properties, demonstrating its ability to differentiate between texture, shape, and stiffness variations. Our e-skin design is versatile and can be adapted to various applications, including robotics, prosthetics, and virtual reality. The e-skin design files, code and documentation are available online, ensuring reproducibility and facilitating ongoing improvements.
AB - Like human skin, robotic electronic skin (e-skin) must protect the body from external threats and remain sensitive to the environment's characteristics while interacting with it. These conflicting requirements make e-skin design challenging. This work presents a modular, easy-to-replicate, and scalable bioinspired e-skin that uses layered silicone encapsulation with force-sensing arrays and accelerometers. This design enables control over the mechanical properties and sensor density, improving normal and shear force sensing and high-frequency vibration detection. The design allows us to seamlessly explore the mechanical properties of e-skin for sensing and adjust them for specific applications. We have characterized and systematically evaluated this e-skin using objects with controlled mechanical properties, demonstrating its ability to differentiate between texture, shape, and stiffness variations. Our e-skin design is versatile and can be adapted to various applications, including robotics, prosthetics, and virtual reality. The e-skin design files, code and documentation are available online, ensuring reproducibility and facilitating ongoing improvements.
KW - bioinspired functionalities
KW - dexterous robotic manipulation
KW - Electronic skin
KW - scalable fabrication
KW - tactile sensing
UR - https://www.scopus.com/pages/publications/105015984101
U2 - 10.1109/WHC64065.2025.11123220
DO - 10.1109/WHC64065.2025.11123220
M3 - Conference contribution
AN - SCOPUS:105015984101
T3 - 2025 IEEE World Haptics Conference, WHC 2025
SP - 15
EP - 23
BT - 2025 IEEE World Haptics Conference, WHC 2025
A2 - Kuchenbecker, Katherine J.
PB - IEEE
T2 - 2025 IEEE World Haptics Conference, WHC 2025
Y2 - 8 July 2025 through 11 July 2025
ER -