Which task creates enough value?
Start with measurable operational pain, not a technology mandate.
Robotics engineering for industrial deployment
Humanoid robotics and mobile manipulation for production and factory logistics.
We identify suitable tasks, test hardware fit and develop robust production pilots—vendor-independent and with clear go/no-go criteria.
Based near Kaiserslautern with short travel times across southwestern Germany and the Rhine-Neckar region—for projects throughout the DACH market.
Architecture before brandNo humanoid at any cost
Go/no-go is validThe right answer may be an alternative
Measurable criteriaAssess cycle, intervention and recovery explicitly
Engineering-ledFor manufacturers across DACH
The decision before the robot
A successful pilot starts with the use case.
An impressive demonstration is not yet a useful industrial system. Before capital is committed, the task needs a technical, operational and commercial case.
Is a humanoid the right architecture?
Compare humanoids against mobile manipulators, cobots, AMRs and fixed automation.
What autonomy is realistic?
Define teleoperation, demonstration data, failure recovery and human intervention explicitly.
How does it enter production?
Plan interfaces, safety, cybersecurity, acceptance tests, support and operating ownership before deployment.
Choose by buying stage
01 / Discover
02 / Test
03 / Validate in production
One clear next step for where you are now.
Brownfield Robotics Assessment
Rank production and intralogistics tasks and identify the right robotics architecture and next experiment.
Humanoid Hardware-Fit-Test
Test one defined task with rented humanoid hardware and receive measured go/no-go evidence.
Production Pilot
Integrate a hardware-fit-tested task and validate it against defined KPIs and an acceptance test.
Delivery architecture
01 / Assess
02 / Test
03 / Pilot + Scale
Assess. Test. Validate and scale.
Each stage earns the right to make the next, larger commitment.
Select the right problem
Rank brownfield tasks and compare the suitable automation architectures before choosing hardware.
Establish physical fit
Measure one task with real humanoid hardware and make the remaining risks explicit.
Prove useful operation
Integrate and validate the tested task before expanding capabilities, sites and fleet operations.
Promising first applications
Flexible work in human-designed factories.
Humanoids are most credible where mobility and manipulation must coexist, task variation is meaningful, and redesigning the entire environment is uneconomic.
Kitting and parts handling
Variable parts and human-scale fixtures where a fixed cell may be too inflexible.
Line-side replenishment
Move totes, kits and components between existing workstations without rebuilding the facility.
Machine loading
Serve several human-operated machines with controlled loading, unloading and recovery.
Inspection and data capture
Collect visual, thermal or acoustic evidence across changing industrial environments.
Engineering capabilities
01
02
03
04
The technical stack between concept and production.
Robotics engineering
ROS 2, robot SDKs, motion planning, perception, controls and tooling interfaces.
Physical AI
Teleoperation, demonstration capture, imitation learning, model adaptation and evaluation.
Simulation + validation
Digital twins, Isaac Sim, reach analysis, synthetic data, cycle-time and failure testing.
Industrial deployment
PLCs, MES/WMS, networks, safety engineering, cybersecurity, commissioning and support.
Built for the whole buying group
Operations
Engineering
Finance
Safety
IT / OT
Leadership
Technical feasibility is only one approval.
Throughput, disruption, staffing and recovery.
Technical fit, interfaces and maintainability.
Capital, operating cost, scenarios and risk.
Hazards, operating modes and conformity pathway.
Network boundaries, access, logging and updates.
Operational value, strategic learning and scale.
Evidence of industrial delivery
How Müller Präzisionswerkzeuge Reduced Order-to-Delivery Time by 20% with AI-Driven Report Management from SchmidtFactories
20% faster order-to-delivery throughput
“The implementation of SchmidtFactories has significantly accelerated our internal processes. Our sales team saves valuable time every day on documentation, while engineering and support can access complete information much faster. What mattered most to us was improving speed without adding organizational complexity. The 20% reduction in throughput time clearly demonstrates the value.”
Which task should the robot perform?
In a 20-minute technical call, we clarify your starting point and the most useful next step. Alternatively, submit your use case in writing.