Built in six months, Gene.01 senses touch, proximity, force, and temperature, and it is released with its open-sourced robot model that gives Physical AI developers a shared starting point to build industrial applications
Open by design: Gene.01 ships with its open-sourced digital twin description, becoming the first humanoid robot to be published and maintained across major software distribution ecosystems used in Physical AI, allowing developers to simulate, build on, and test the platform before the robot is deployed.
Scalable platform for manufacturing: Gene.01 is a core platform that can be customized across AI, exterior design, and end effectors for specific industrial applications, enabling manufacturing at scale.
European, sovereign approach: Generative Bionics is building toward a sovereign Physical AI ecosystem anchored in European industrial capability, compliance, and trusted supply chains.
GENOA, Italy, July 20, 2026 /PRNewswire/ -- Generative Bionics, an Italian deep tech company developing humanoid robots for industrial applications, today unveiled Gene.01, a fully functional, sensorized humanoid robot platform designed to work safely and intuitively alongside people.
Built in just six months, Gene.01 combines full-body tactile sensing with physics-native AI, integrating the robot's body, mechanics, and intelligence so it can better interpret and respond to the physical world. Generative Bionics is already adapting the platform for its first industrial use case through a collaboration with Fincantieri, a global leader in shipbuilding, focused on shipyard operations. The company is also open-sourcing Gene.01's robot model to give Physical AI developers a foundation for building industry-specific applications. The fully functional platform will make its U.S. debut at AMD Advancing AI 2026, taking place July 22-23, 2026.
Designed for Safe, Intuitive Human Collaboration
Human-centric by design, Gene.01 is built to prioritize collaboration with people over isolation. Its multimodal sensing system goes beyond touch: full-body distributed tactile skin can detect touch, temperature, proximity, and force, helping the robot anticipate human presence and respond before and during contact.
This human-aware approach is designed to make interaction safer and more natural. Force sensing allows people to teach tasks by demonstrating not only motion, but also the force required: a capability that helps address problems video-only learning cannot solve, such as how to tightly grip an object.
