RoboDK for Physical AI

Connect AI systems to real robots.

RoboDK provides the simulation, calibration and robot-programming layer for Physical AI.

Our software enables researchers, AI-first robotics companies and OEMs to build and test robotic applications in simulation, connect AI-generated outputs to different robot platforms, and transfer validated workflows to physical systems. The software's unique calibration features help developers narrow the sim-to-real gap.

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Build Physical AI Across Robot Platforms

1

Physical AI Researchers

Create and modify robotic environments. Automate repeated experiments, test different configurations and connect research tools through the RoboDK API.

2

AI-First Robotics Companies

Develop robotic systems without building the entire simulation and robot-integration layer from scratch. Connect AI outputs to supported robots, tools and applications.

3

Robot Manufacturers and Developers

Add simulation, programming and AI integration capabilities across robot models while giving developers access to a flexible, brand-independent platform.

RoboDK in Physical AI Research

Researchers use RoboDK to enable a variety of AI- and machine learning-based applications.

Recent examples include an AI/ML-enabled gluing application that uses RoboDK for motion planning, a vision-based safety system for human-robot collaboration that uses RoboDK to monitor robot motion, a robotic kitting system for battery cells using multi-robot mission scenario simulations in RoboDKA2069513&dswid=4862" target="_blank" rel="noopener noreferrer">AI-based computer vision and RoboDK's digital twin technology, and a policy-aware LLM framework tested through multi-robot mission scenario simulations in RoboDK.

RoboDK simulation next to the physical UR3 robot performing an AI-guided gluing application

AI/ML-Enabled Gluing

In 2026, researchers unveiled an AI/ML-enabled gluing system in which YOLOv8 and RealSense vision are used to identify a component's position and orientation, while RoboDK dynamically transforms reference frames and aligns curves to the actual part position and rotation.

View the research.

Self-Learning Robotic Welding

Also in 2026, a team of researchers used RoboDK's digital twin functionality as part of a self-learning robotic welding system. A genetic algorithm optimized the robot's operating position, reducing simulated energy consumption by 36%.

View the research.

Simulate, Calibrate, Program and Connect

Simulate

Create digital representations of robots, tools, workpieces and environments from RoboDK's library of more than 1400 robots from 80 manufacturers.

Use the RoboDK API to generate, modify and evaluate robot stations. Test reachability, motion and alternative configurations before connecting to physical hardware. Use RoboDK Add-ins to connect with NVIDIA Isaac SIM and Blender.

Calibrate

Virtual models need to represent robots accurately. RoboDK's built-in calibration tools can account for differences between nominal robot geometry and the physical machine, reducing an important source of sim-to-real error.