robominds GmbH Tech Stack

AI-powered robotics control platform for industrial automation

Industrial Automation Munich, Bavaria 11–50 employees Founded 2016 Privately Held

robominds builds AI systems that make robots autonomous and adaptive across manufacturing and intralogistics workflows. The tech stack is deep-learning native (TensorFlow, Keras, PyTorch) layered on industrial control protocols (EtherCAT, OPC UA), with a hiring surge skewed toward junior engineering (5 interns, 4 mid-level) — typical for a team scaling a platform product and iterating on core R&D. Active work on synthetic data generation and tactile sensing skill development suggests they're solving the hard problem of reducing manual annotation burden in robotics training.

Tech Stack 15 technologies

Core StackC++ Python JavaScript TensorFlow PyTorch Solidworks Keras Gitea Bazel CMake EtherCAT OPC UA Git Visual Studio Code PyCharm

What robominds GmbH Is Building

◆Challenges

Reducing need for annotated data
Minimizing discrepancy between real and generated data

▲Active Projects

Greiferkonzepte und roboterzellen
Next generation robot control system
Operating system and cloud platform
Roboterlösungen vom konzept bis zum rollout
Tactile sensing skill development
Simulation-based data generation for tactile processes
Robobrain® platform development
Robotic cell solutions
Optimizing data generation to reduce annotated data
Generating synthetic training dataset comparable to annotated data

Hiring Activity

Accelerating9 roles · 5 in 30d

Department

Engineering

Research

Seniority

Intern

Mid

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About robominds GmbH

robominds is a Munich-based robotics software company founded in 2016, focused on control systems and AI that enable robots to work autonomously in industrial settings. The core offering appears to span multiple layers: a next-generation robot control operating system, a cloud platform for orchestration and monitoring, and specific robotic cell solutions for intralogistics and material handling. Projects range from gripper and cell design through simulation-based synthetic data generation for training tactile sensors, addressing a core bottleneck in robotics — the cost and time to annotate real-world training data. The team is 11–50 people, primarily engineering-focused, and actively hiring in Germany.

HeadquartersMunich, Bavaria

Company Size11–50 employees

Founded2016

Hiring MarketsGermany

Frequently Asked Questions

What tech stack does robominds use?

C++, Python, JavaScript for development; TensorFlow, Keras, PyTorch for ML; EtherCAT and OPC UA for industrial control; Gitea, Bazel, CMake for build and version control; Solidworks for CAD design.

What is robominds working on?

Next-generation robot control systems, a cloud-based operating platform, tactile sensing skill development, and synthetic data generation to reduce reliance on manually annotated training data for robotics AI.