WIM Robot Controller HW+SW All-in-One AI Robot Controller

We possess full-stack SW technology for AI robot development, including SoC-based RTOS development. (Full-Stack)

We have the technology to build a dedicated real-time operating system (RTOS) that ensures precise motion on the SoC — the 'brain' of the robot controller — along with all A-to-Z software technologies needed to make robots Move, See (Vision), and Think (AI).

We sell our technology in a form that customers can easily adopt.

We provide our full-stack technology so customers can easily adopt it. Customers only need to develop their core AI solutions on top of our platform, dramatically reducing development time and cost.

We currently use NVIDIA chips, chosen for GPU parallel processing capabilities.

We adopted the NVIDIA Jetson series as the proven hardware that can most quickly build the general-purpose GPU-based parallel processing environment needed for AI robot development.

We plan to expand to various chipset manufacturers including Samsung Exynos.

AI robots serve diverse purposes depending on their objectives and form factors, requiring the flexibility to choose appropriate chipsets. We are pursuing the business direction of developing our software to run on any manufacturer's chipset, including Samsung Exynos with its strengths in high-speed communication and low power consumption.

Jetson is excellent 'compute hardware,' but it cannot become a 'real-time robot controller' on its own.

Jetson's default OS does not guarantee real-time performance, making precise motor control impossible. Most companies end up adding external controllers, which reintroduces data bottlenecks and cost increases.

We provide a full-stack solution that performs both AI computation and real-time robot control simultaneously on the high-performance Jetson SoC.

Technology internalization without depending on external solutions.

With internalized technology, you can reduce maintenance vendor costs or perform maintenance in-house.

Develop optimal solutions using your own data.

Nobody understands and manages your data better than you. Developing AI solutions in-house and applying them directly to your robots is the best way to achieve peak performance.

Previously, robots didn't have built-in GPUs

Traditional approaches require externally attaching GPUs to controllers, which demands extensive work on GPU drivers, AI SW libraries, frameworks, and robot communication. Our controller has GPU built into the hardware, and we provide the complete development environment so customers can focus solely on core logic development.

Previously, each robot brand could only be controlled by its own proprietary controller

Our controller works with any ROS2-supported robot or any motor with EtherCAT/CAN communication, offering true universality. As more robot companies adopt ROS2, a single WIM Robot Controller can control diverse robots from different manufacturers.

Most robot companies only allowed simple script modifications, not code-level access

We open everything down to the code level, providing developers with maximum freedom.

Deterministic 1ms control cycle

Motor commands are issued every 1ms without delay or jitter, preserving path accuracy in high-speed machining, precision assembly, and vision-tracking tasks.

Stability vs. general-purpose OS

Generic Linux/Windows-based controllers suffer scheduler interference that destabilizes the control loop and puts precision work at risk; W-RC guarantees cycle time via a Preempt RT kernel architecture.

Run vision and control networks concurrently

With 275 TOPS (INT8) of compute, multiple networks — object detection, pose estimation, trajectory generation — run concurrently on-device without an external server.

Edge inference removes network latency

Inference and motor control share one box, eliminating round-trip latency to external GPU servers and enabling real-time closed-loop AI control.