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Industrial computing system provider NEXCOM will showcase its MARS400 T10 safety-centric humanoid robot controller at Embedded World North America 2025.
The trade show is being held Nov. 4-6 at the Anaheim Convention Center in Anaheim, California. NEXCOM will be in booths 6015 and 9016 in Hall C, Level 1.
The MARS400 T10 is a safety-centric humanoid robot controller developed with NVIDIA technology. NEXCOM debuted it at the 2025 Taiwan Automation Intelligence and Robot Show.
Based on NVIDIA’s Jetson Thor, the MARS400 T10 modularly integrates AI computing, motion control, robot control, and its in-house designed ESC210 functional safety system into a single robot control platform.
In 2024, NEXCOM obtained TÜV Rheinland functional safety certification. Its products comply with international functional safety standards EN 61508 and EN ISO 13849-1.
The ESC210 functional safety system is specifically designed for humanoid robots and includes a complete suite of functional safety master, functional safety modules, and I/O interfaces.
At GTC Paris 2025, NEXCOM was officially invited to become a member of the NVIDIA Halos AI Systems Inspection Lab to help advance safety in the robotics industry. NEXCOM said functional safety will be a crucial and fundamental safety threshold for robots to seamlessly integrate into human daily life in the future.
NEXCOM said its integrated design addresses latency and space requirements of traditional multi-platform robot architectures.
The MARS400 T10 optimizes size, weight, overall machine space configuration, and enhances the real-time operational performance of humanoid robots, which NEXCOM said enables more compact designs, more refined human-like movements, and extended operating time.
NEXCOM's integration of NVIDIA Jetson Thor supports powerful computing capabilities of up to 2070 FP4 TFLOPS.
The MARS400 T10 can be applied to various robot configurations, with a particular focus on humanoid robot development. Paired with NVIDIA Robotics full-stack CUDA-acceleration libraries and optimized AI models, it can assist robot manufacturers in shortening development cycles and delivering safety-first robot products.
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