Imagine a robot that learns to move and touch things just like a child does, by trying and getting feedback. Instead of following a rigid script, it builds its own internal map of the world to understand how to react to changes. This means it can handle messy or changing environments where humans are currently the only option.
Industrial robots are currently too rigid for unpredictable environments, while existing AI lacks the reliability and scalability needed for mass production. This forces companies to rely on expensive human labor for complex, variable tasks.
An end-to-end AI/AGI robot brain and an API for controlling KUKA, ABB, and Universal Robots hardware.
If you are a warehouse operator dealing with unpredictable package shapes and sizes — this project developed an AI robot brain that enables 80-100% success rates in object transfer. It allows robots to handle variability without needing manual code patches for every new item.
If you are an assembly plant dealing with rigid automation that fails when parts are slightly misaligned — this project developed a foundation model that controls joint angles and gripping force. This provides the flexibility to handle objects of different weights and fragility.
If you are a component assembler dealing with high-mix, low-volume production — this project developed an API that integrates with KUKA, ABB, and Universal Robots. It allows for faster convergence and lower loss in task execution compared to standard AI models.
Based on available project data, pricing and cost structures are not specified.
The project aims to solve the lack of scalability found in current hybrid AI workarounds by providing a foundation model that maintains robustness while adding flexibility.
Based on available project data, specific licensing terms are not provided, though the project is led by an SME (SICSAI AB).
The system includes an API that enables control of robots from major OEMs including KUKA Robotics, ABB, and Universal Robots.
The project period is from 2025-07-01 to 2026-12-31.
The project is led by a single Swedish SME, Superintelligence Computing Systems SICSAI AB. With a 100% industry ratio and no university or research partners, the project is heavily driven by commercial application and rapid development rather than academic exploration.
Contact Superintelligence Computing Systems SICSAI AB in Sweden
Contact us to explore integration of this AGI model into your robotics fleet.
