Current robot systems are limited in their abilities of safe physical interaction with humans and objects in the real world. Tasks performed by robots are slow, rather simple, and not optimal as it is often necessary to isolate robots (e.g. behind fences) to avoid collisions. This makes these robots not suitable for user needs where they are expected to add value in several application areas. There is a critical socio-economic need to endow robots with the abilities of safe and effective interaction with humans and objects in their environment. One of the reasons for today’s robots‘ limitations is the missing ability to comprehensively perceive the environment in real-time, understand situations, predict potential actions and reason about action consequences and risks. Such abilities are fundamental for interaction with humans and the world and for task specific adaptation of actions based on such interaction and experience.

In order to address these topics, sensors for the perception of the environment which are co-designed with specific integrated circuits are core elements. Consequently, the scientific and technological objective of PATTERN-Skin is to develop a novel embodied bendable and potentially stretchable multimodal modular robot skin that provides robots with unprecedented sensing abilities facilitating contact-based/tactile and contact-less multimodal exploration of the world towards safe human-robot interaction. Besides the physical realization of the skin modules, also physically accurate real time simulations (“digital twin”) will be developed that allow to optimize and tailor skin configurations for robots and applications. Based on this sensor skin and the corresponding digital twin, PATTERN-Skin will investigate model based and AI-based methods to obtain representations of the environment towards the utilization in safe control strategies and aiming to meet requirements as defined e.g. in the ISO 15066 and 10218 safety standards. With respect to safe, reliable, and secure assembly of full systems from a number of individual sensor skin modules, a unified design pattern utilizing Near Field Communication (NFC) and hardware security elements will be investigated for both wired and wireless connectivity.

By equipping robots with this enhanced sensing and interaction abilities, PATTERN-Skin is expected to impact a wide range of robotics applications ranging from personal care and assistance to agile logistics and manufacturing. The developed technologies and methods will be open, modular, and non-proprietary.

PATTERN-Skin is realized in a collaboration of AAU, Joanneum Research Robotics, Silicon Austria Labs and Carinthian University of Applied Sciences.

Dieses Projekt wird aus Mitteln des EFRE Europäischen Fonds für regionale Entwicklung kofinanziert