Imagine if you could talk to a factory robot like a coworker, and it actually understood your tone and hand gestures. Instead of writing complex code, the robot learns your habits and adjusts its speed and movements to help you work more comfortably. It's like having a smart assistant for heavy machinery that grows more intuitive the more you work together.
Industrial robots often require complex coding and lack the ability to adapt to the emotional or physical state of human workers. This creates a barrier for non-technical staff and increases cognitive load in dynamic manufacturing settings.
A Smart Interface unit (including a wearable device) that translates speech and gestures into robot commands, and a 'Robo-Gym' physical training hub for human-robot synchronization.
If you are a vehicle assembly plant dealing with high worker fatigue and complex assembly lines — this project developed a Smart Interface unit that interprets speech and gestures to reduce physical and cognitive loads.
If you are a custom electronics manufacturer dealing with frequent production changes and a need for zero-coding robot updates — this project developed a system that models production changes so robots can match them in real-time.
If you are a training center dealing with the skill gap in robotics — this project developed the Robo-Gym, the first European hub where humans and robots learn common work practices together.
The total project value required to commercialize the Fluently device and Robo-Gym concept is 18.8 M EUR.
Yes, the system is being validated through demonstration on three full scale pilots with varying levels of automation and complexity.
Based on available project data, specific licensing terms are not listed, but the project results include a Smart Interface unit and a Robo-Gym concept.
The project forecasts a payback in 2028 with a ROI of 91%.
It uses an ASIC-based smart interface unit and a wearable device for the operator to translate speech, tone, and gestures into robot instructions.
The consortium is heavily industry-driven, with 14 industrial partners (61% of the group) including 9 SMEs, ensuring a strong market orientation. With 23 partners across 12 countries, the project leverages a broad European and Japanese network, combining 6 universities and 2 research centers to bridge the gap between AI research and factory-floor application.
Contact REPLY DEUTSCHLAND SE for commercial inquiries regarding the Smart Interface unit.
Contact SciTransfer to connect with the Fluently consortium for pilot implementation.
