Kudan, NexAIoT, and NVIDIA Bring AI-Driven Autonomous Mobile Robots to Operational Factories in Taiwan
Kudan, NexAIoT, and NVIDIA launched NexMOV-2, an AI-powered autonomous robot with Visual SLAM for efficient factory operations in Taiwan. It enables faster setup and reliable localization in dynamic environments.

Kudan, NexAIoT, and NVIDIA Deploy AI-Powered AMR in Taiwan Factories
Kudan Inc., based in Tokyo, has joined forces with NexAIoT and NVIDIA to introduce the NexMOV-2, an AI-powered autonomous mobile robot (AMR), into active factory operations in Taiwan. This robot integrates Kudan’s Visual SLAM technology with NVIDIA’s Isaac Perceptor toolkit, combining AI models and CUDA-accelerated libraries to create a highly efficient navigation platform.
Project Milestones
- September 12, 2024: Launch of NexMOV-2 featuring Kudan Visual SLAM at Japan Robot Week 2024.
- March 19, 2025: Successful integration of Kudan Visual SLAM with the latest NVIDIA Isaac Perceptor, proven in real-world settings.
The NexMOV-2 robot is engineered to handle demanding industrial environments like factories, warehouses, and hospitals. It offers a cost-effective navigation system that relies on visual data, capable of adapting to dynamic and complex settings. After validating its performance on-site, NexAIoT plans to extend deployments to more facilities.
Benefits for Operations
- Faster, cost-effective setup: Pre-integrated technologies reduce the time and expense typically required for sensor calibration and environment tuning.
- Reliable localization: Effective in environments with changing layouts, low visual features, or no GPS signals.
- Flexible deployment: Works across different scenarios, from organized factory floors to semi-structured logistics areas, with minimal adjustments.
Daiu Ko, CEO of Kudan, highlighted that this deployment confirms their vision of industrial automation driven by spatial perception and AI. By combining their Visual SLAM with NVIDIA’s tools, they have lowered the technical and commercial barriers to AMR adoption. NexAIoT is supported as it scales its operations.
Dr. Hoe Seng Ooi, CTO of NexAIoT, emphasized that integrating Kudan’s Visual SLAM with NVIDIA Isaac Perceptor has enabled adaptive and efficient navigation, reducing deployment time and cost. This collaboration advances AI-driven robotics and sets the stage for ongoing innovations tailored to operational needs.
This initiative reflects a broader partnership focused on advancing industrial robotics through AI and spatial computing. The companies will continue enhancing system performance and deployment scalability, as highlighted in NVIDIA’s announcement on digital twins and industrial AI for Taiwan manufacturers.
Experience NexMOV-2 at COMPUTEX 2025
NexAIoT and Kudan will showcase the NexMOV-2 in action at the NEXCOM Huaya Smart Factory during COMPUTEX 2025 in Taipei. Attendees can observe how spatial perception, AI, and Industrial IoT combine to improve smart manufacturing processes.
- Date: May 20 – 23, 2025
- Time: 10:00 AM – 4:00 PM
- Location: NEXCOM Huaya Smart Factory, No. 50, Huaya 3rd Rd., Guishan Dist., Taoyuan City, Taiwan
The factory is a prime example of Industry 4.0, featuring an 8,000 m² space with SMT, DIP, and assembly lines. It integrates OT and IT systems through a cloud-based SCADA system, offering real-time monitoring and predictive maintenance. The Enterprise War Room provides centralized operational control with multi-screen displays.
Advance registration is required to attend these demonstrations, offering a hands-on look at next-generation industrial automation.
About NexAIoT Co., Ltd.
NexAIoT specializes in Industry 4.0 solutions, including Industrial PCs, factory automation, robotics, and AIoT. The company aims to lead the global industrial IoT market and accelerate digital transformation in manufacturing.
About Kudan Inc.
Kudan develops spatial perception technologies for mobile mapping, digital twins, robotics, and autonomous vehicles. Their solutions enable accurate and scalable deployment of autonomous machines in dynamic environments.
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