from within the industry
RN AI-Robotics endows humanoid robots with behavioral skills to work in real factories and production lines.
We develop the AI, control architectures and learning systems that enable humanoid robots to operate in industrial environments safely, reliably and with real operational value. Built inside the Rosendahl Nextrom industrial ecosystem, we work from real production needs in battery, cable and fiber manufacturing. Our approach combines embodied AI, robot learning, simulation, control systems and industrial validation to teach humanoid robots how to move, manipulate, adapt and support operations on the factory floor.We build the behavioral intelligence layer that allows humanoid robots to perform useful work in real manufacturing environments.
That includes navigation in tight factory spaces, object manipulation, task coordination and continuous safety monitoring.
Yassine El Manyari, CTO
Our mission is to bring physical AI into industrial reality and help manufacturers address skilled labor shortages, improve safety and unlock more resilient production operations.
physical AI for humanoid robots in industrial production
bringing physical AI into real factories
why physical AI matters now
Manufacturers are under pressure from two sides
Skilled labor is harder to find, and industrial operations need to become safer, more resilient and more flexible. Physical AI can help fill that gap by enabling humanoid robots to support production where manual work is hard, repetitive or safety-critical.
Battery, cable and fiber manufacturing depend on stable processes and experienced operators. But many production tasks remain physically demanding, repetitive or difficult to staff over time. At the same time, factories need higher safety standards and more operational resilience. We believe physical AI will become a key technology for the next generation of industrial production: not as a concept, but as a deployable workforce layer inside real manufacturing environments.
because
we
know
we are not guessing where a humanoid robot workforce can create value. We are building it where the need already exists.
the problem
skilled labor shortages and safer operations
Manufacturers face two growing challenges:
-
a shortage of skilled labor Manufacturers struggle to find and retain skilled workers for demanding production environments
-
need for safer operations Industrial environments demand higher safety standards that are increasingly difficult to meet
Many industrial tasks are still repetitive, physically demanding, safety-critical, or difficult to automate with fixed systems. These tasks often depend on experienced operators and create pressure on production, quality, and workforce availability.
our solution
physical AI for humanoid robots in industrial production
We give humanoid robots the behavioral intelligence needed to operate in industrial environments. Our work focuses on perception, reasoning, movement, manipulation and safety for real factory tasks.
Our mission is to make physical AI useful on the factory floor of the cable & wire, optical fiber and battery industry. We develop the software, control architecture and learning systems that enable humanoid robots to move through production environments, perform tasks, adapt to changing conditions and improve through real-world validation. The goal is dependable industrial performance in battery, cable and fiber production lines.
we build intelligent robotic systems that can:
move through production environments
Our physical AI enables humanoid robots to move safely and reliably through real production environments. The goal is stable operation in active industrial settings, not controlled lab conditions.
perform safety-critical tasks​
We develop behavioral skills that allow humanoid robots to support safety-critical tasks in industrial production. This includes following defined procedures, reacting to environmental changes and operating within strict safety boundaries.
adapt to changing workflows
Industrial production is dynamic, and our physical AI is designed to handle that reality. Humanoid robots can respond to changing process steps and different requirements without needing to be reprogrammed. This creates more flexibility for variable production demands.
learn and improve in operations
Our systems are built to improve through real operational experience. By learning from execution data, environmental feedback and repeated task performance, humanoid robots can become more effective over time.
how we build it
Our physical AI stack is built around a hybrid, hierarchical and modular control system for industrial humanoid robots. It combines learning-based intelligence with deterministic safety and structured task execution for real-world deployment.
We develop physical AI from within the industrial reality of Rosendahl Nextrom. That means our models and control systems are shaped by real machines, real production constraints and real customer needs. We work with a modular architecture that includes task coordination, reasoning, control and safety layers. This lets humanoid robots execute tasks dynamically while remaining predictable in safety-critical environments. Our work includes locomotion, manipulation, path planning, AI-supported process control and real-world validation on industrial use cases. Because we are embedded in live production contexts, we can move faster from prototype to practical value.
industrial
use case
example
pick
carry
flip
place
who is behind it
a focused team for applied physical AI
We combine industrial access, robotics engineering and real deployment capability in one team. That combination is what makes our physical AI approach practical, credible and execution-driven. Siegfried Altmann leads the venture as founder and CEO with deep industrial understanding and direct customer access. Yassine El Manyari drives the embodied AI architecture and learning approach. Agustin Colazo and Enrico Pisanu build the robotics software, control systems and deployment integration needed for real-world operation. Together, the team connects industrial production knowledge with modern AI robotics execution.
founder & CEO
Siegfried Altmann
Industrial founder with deep domain understanding, customer access, and strategic drive.
CTO
Yassine El Manyari
Leading embodied AI, robot learning, and technical architecture.
robotics & AI engineer
Agustin Colazo
Building robotics software, control systems, and real-time execution.
robotics engineer
Enrico Pisanu
Driving integration and deployment in real-world industrial systems.
the future of industrial work is adaptive robotic labor
We believe the next step in industrial automation is not more rigid machinery alone.
It is a humanoid robot workforce supported by AI robotics, embodied AI, and physical AI systems that can work safely and effectively in environments built for people. Rosendahl Nextrom Robotics is ready to bring this new generation of automation into real industry.
let’s build the next generation of AI robotics
 We are looking for:
pilot customers
industrial partners
robotics and AI collaborators
strategic investors and innovation partners
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contact
get in
touch
with us
If you are exploring humanoid robot workforce solutions, AI robotics for manufacturing, or safer industrial automation, we would like to hear from you.Â
Contact Rosendahl Nextrom Robotics to discuss pilots, partnerships, and deployment opportunities.
