The key to humanoid robots in daily operations is process know-how.
We teach them industrial work in manufacturing & logistics and pave the way for deployment from day one, with simulation environments & reusable robot skills built on 500,000+ data hours & millions of process cycles of real process data.
We develop simulation environments, reusable robot skills & deployment pipelines that prepare humanoid robots for industrial work processes in manufacturing & logistics.
Physical AI Training is the process of teaching robots to perceive their environment, understand instructions and execute physical tasks. It combines real-world data, simulation and synthetic data with methods such as imitation learning, reinforcement learning and transfer learning from foundation models, built on the process expertise we have developed
over the years.
Buying a robot does not make it productive.
Humanoid robots provide hardware, sensors and foundational intelligence. Productive deployment still requires task-specific data, training environments, robot skills, validation and integration into real operations. Our Robot Skill Factory is a development environment for creating, testing and deploying reusable robot capabilities in logistics and manufacturing processes.
We help companies integrate Physical AI into existing manufacturing & logistics environments, leveraging our network of experienced integration partners for seamless implementation.
Selection of suitable processes for automation with humanoid robots, including initial data collection & process analysis, while establishing a general data foundation for the optimization of manual processes.
Development of a simulation model representing thereal-world process (3D model, process & motion simulation).
Training a humanoid robot using real & simulated motion data.
Initial testing of humanoid robots in a real operational environment under supervision.
We work with you to develop a future-proof operating model & select the right partner for sustainable
day-to-day operations.
Assessment, simulation, training & robot deployment from a single source.
Physical AI is artificial intelligence that operates in the physical world. For example, in robots that perceive their surroundings and perform tasks in logistics and manufacturing.
Deterministic programming tells a robot exactly whatto do in a fixed, predictable setting. Physical AI Training lets a robot learnhow to do a task, so it can cope with variation, uncertainty, and newsituations. The result is greater flexibility, faster deployment, and robotsthat keep improving instead of breaking when the environment changes.
Today’s humanoid robots fail after short action sequences. Three things are missing: process depth (entire shifts instead of single movements), range of variation (no process runs the same way twice) and location context (where and when each step takes place). The hardware is notthe bottleneck
The Robot Blueprint identifies where humanoid robots can create the greatest value in your operations and what is required for successful implementation. We begin by identifying suitable use cases, capturing real-world process data, and assessing the most promising applications. Based on these insights, we select the most appropriate robot, validate the solution in simulation, and train it for your specific workflows. The solution is then deployed in a real-world pilot environment. Once its business value has been demonstrated, the developed robot capabilities can be replicated and scaled across additional processes and locations.
Potential use cases include intralogistics (such as handling, internal transport and order picking), manufacturing (such as machine tending, material supply and quality control) and assembly (such as
pre-assembly tasks and line feeding). The assessment shows which of them aretechnically plausible and economically promising for your operation.
The disadvantage of a so-called RoboGym is that it can only train partial tasks, such as individual movements within a larger process. Our approach is different. We train on hundreds of thousands of real motion data points from the shop floor, long-horizon data, and millions of end-to-endprocess runs. This makes training significantly faster and more precise, so your robot can be deployed sooner.
Our models are fully robot-agnostic, meaning thetraining works for robots from different manufacturers. Mobile robots can be trained as well. We have no exclusive partnerships with individual manufacturers and remain completely independent.
We do not manufacture robots ourselves. Instead, we provide a training platform that teaches robots your processes. However, we can procure robots through our partners. We remain completely independent in this regard as well.
We are currently focusing exclusively on processes within logistics and production. However, our offering is industry-agnostic(e.g. retail, logistics service providers, manufacturers, automotive, etc.).
