AI & Robot Learning
Experiment with frameworks such as LeRobot, OpenVLA, NVIDIA Isaac, and Isaac GR00T for robot learning and AI-driven robotics.
ROS 2 Ready
Integrate FAIRINO effortlessly into modern robotics stacks with ROS 2, MoveIt 2, and existing development environments.
Dual-Arm
Build setups with two robotic arms for bimanual manipulation, complex tasks, and Physical AI research.
Affordable Scales
Physical AI: The next step in robot automation
Traditional robot automation works excellently for predictable processes. But as soon as products vary, conditions change, or a process requires a great deal of human interpretation, automation quickly becomes complex.
Physical AI offers a new approach. Instead of programming every movement in advance, robots can learn from data, demonstrations, and their environment. With techniques such as imitation learning, computer vision, and Vision-Language-Action (VLA), robots can learn to recognize situations, make decisions, and act autonomously.
This enables new applications for processes that were previously difficult or not cost-effective to automate.
Together with our partners, we develop physical AI applications using Fairino hardware, combined with modern AI frameworks and models such as LeRobot, NVIDIA Isaac, and Isaac GR00T.
Do you have a process that is difficult to automate with traditional robotics? We would be happy to explore how Physical AI can change this.
Contact us to discuss the possibilities.
Fairino ART7-R7 Robotic Arm
Pre-orders will be available soon. Contact us for more information about the pre-order process.
The FAIRINO ART7-R7 is an advanced 7-axis robotic arm for flexible and precise automation. The ART7-R7 is available in left- and right-arm variants and can be combined into a dual-arm setup for complex two-arm tasks. Thanks to full-joint force control, the robot can accurately sense and respond to forces and contact with its surroundings, enabling safe and versatile interactions. This makes the ART7-R7 highly suitable for industrial automation, research, education, and innovative Physical AI applications, where AI systems learn to perceive, make decisions, and act physically in the real world.
