The ARM research team leverages artificial intelligence to make industrial robots accessible to all levels of human expertise, combining the precision, strength, and endurance of machines with human judgment, skills, and predictive capabilities.

In the context of industrial and manufacturing applications, the team is developing a human-machine interface that enables robots to understand and interpret gestures, language, and human behavior, fostering effective collaboration. This allows robots not only to execute commands but also to adapt to the psycho-physical conditions of the operator.

Currently, the project focuses on solving automation challenges across various sectors:

• Recycling – targets hazardous or repetitive tasks in the disassembly and recycling of lithium batteries, reducing risks for human operators.
• Aerospace – supports the assembly of engine nacelles, facilitating complex activities such as positioning, fastening, and inserting components.
• Repair and Remanufacturing – enhances processes for inspection, reverse engineering, and defect analysis in the repair of high-value metal components.

In these and other areas, Fluently aims to improve efficiency, safety, and worker well-being while reducing the complexity of industrial processes. This innovative approach demonstrates how artificial intelligence can revolutionize the workplace, making technology a valuable ally in supporting human capabilities.

To develop a communication interface that feels as natural as possible, the Fluently project also prioritizes the protection of sensitive data—such as voice and biophysical signals—processed by the system. This goal requires the use of AI models that can operate efficiently on devices with limited computational capacity, without compromising performance. To achieve this, the ARM team leverages the support and cutting-edge edge computing technologies provided by Qualcomm, a leading innovator in the field.

Further details: Human expertise and robotic precision: how the University of Applied Sciences and Arts of Southern Switzerland uses Qualcomm AI Hub