With the founding of Synapticon Intelligence, Synapticon is underlining its commitment to driving the development of control systems in light of advances in the fields of AI, robotics and automation. With its services, the business unit is building on developments that are currently still coming primarily from Silicon Valley, according to the company. Various open and closed source projects such as Nvidia's GR00T, Google's RT-2 or the developments of specialized start-ups such as Physical Intelligence or Scaled Foundations aim to create universal foundation models for robot capabilities that achieve a new level of learning and interaction capabilities in robots. These "Robot Action Models" are intended to enable humanoid robots to learn from human demonstrations, use reinforcement learning and generate robot movements as output to the input of video data. Synapticon Intelligence wants to support robot manufacturers and machine builders in embedding such AI technologies in their control systems in order to increase their capabilities and efficiency.

Nikolai Ensslen, Synapticon

© Synapticon

Nikolai Ensslen, CEO and co-founder of Synapticon, and his experts in robotics and integrated motion control are seeing a shift in robotics software architecture from traditional approaches based on discrete software components to integrated AI models based on neural networks. This shift is also impacting hardware development, moving from traditional CPUs and DSPs to neuromorphic computing and other technologies that are better suited to the requirements of AI. Synapticon Intelligence will be dedicated to solutions that not only meet current safety standards, but also anticipate future regulations and challenges. The goal is to achieve a level of intrinsic safety that enables humanoid robots and other advanced robotic systems to operate seamlessly and safely alongside humans in a variety of environments.