infrastructure
iw.osOn-robot intelligence
iw.os governs navigation, perception, and autonomous decision-making at the robot level.
Smooth operator
Handling SLAM-based navigation, 3D obstacle avoidance, and real-time decision-making
Powered by GPU-accelerated edge compute
iw.os runs on a GPU-powered industrial PC mounted on the robot, enabling real-time perception, localization, and safety decisions at the edge, not in the cloud.
Compute
GPU-powered industrial PC, NVIDIA Jetson-class compute
Perception
LiDAR, 3D camera vision, multi-modal sensor fusion
Localization
SLAM-based, infrastructure-free deployment
Safety
Dynamic safety fields, 3D obstacle avoidance, <200 mm detection
What iw.os governs on every robot
Autonomous navigation
SLAM-based path planning requires no floor markers, magnets, or QR codes and no structural changes to the facility.
Obstacle detection and avoidance
3D perception handles mixed-traffic environments in real time, adjusting safety fields dynamically to protect people, forklifts, and other autonomous systems.
Modular software architecture
Navigation, perception, and decision-making components can be updated independently. The architecture adapts as hardware and operational requirements evolve.
Hardware agnostic design
iw.os is portable. The autonomy stack lifts from one robot and runs on another without rewriting navigation, perception, or decision-making logic per platform.
Proven in live production
98.5%
Across BMW Group manufacturing sites, robots running iw.os deliver 98.5% overall equipment effectiveness in live production.
iw.os in concert
iw.os handles the robot. Idealworks OS handles the fleet. Idealworks OS is the control layer that brings automation into operation.
Autonomy starts at the edge
Tell us about your operation and the robots you're running.
