Mowito's contribution applies learning-based robotics to industrial assembly tasks in wiring harness manufacturing. The goal is to fundamentally simplify the programming of complex robot processes. Instead of programming motion and handling tasks entirely manually, the robot system learns them through demonstrations and data-driven learning methods.

The solution combines methods from imitation learning, reinforcement learning, computer vision, and real-time robot control. This enables the robot not only to reproduce assembly tasks but also to perform them robustly and adaptively under changing conditions. This significantly reduces engineering effort and shortens implementation times and operating costs.

For wiring harness manufacturing, this approach offers great potential, especially with high product variety and complex handling tasks. The demonstrator shows how adaptive robot systems can make future automation solutions more flexible while significantly reducing the effort required for programming and commissioning.

Mowito develops AI-based software for industrial robotics, focusing on learning and adaptive automation solutions. Founded in 2024 and headquartered in Detroit, the company combines artificial intelligence methods with practical robotics for industrial manufacturing environments and is already deployed in several production lines of leading manufacturers.

For more information about mowito, please visit: www.mowito.ai