AI Robotics Platform Architecture for Physical AI Systems

NEXCOM and its subsidiary NexCOBOT showcased the RoboWIZ AI Robotics Platform at NVIDIA GTC Berlin, held from October 21 to 22, 2026, addressing system integration challenges in humanoid, quadruped, and autonomous mobile robot development.

Core Technology and System Architecture
The RoboWIZ platform functions as an open ecosystem connecting AI controllers with modular components, software, and engineering services. The system integrates computing platforms from NVIDIA, including the IGX Thor architecture and MARS400 T20 modules, with real-time motion control, EtherCAT servo drives, and functional safety layers. By separating deterministic motion control from high-level neural network processing, the architecture prevents latency bottlenecks across multi-axis robotic applications.

Deployment and Implementation
Deployment relies on modular gateway interfaces and standardized communication protocols to integrate AI computing, GMSL camera inputs, and sensors into existing robotic frameworks. The framework allows developers to select specific hardware configurations based on operational requirements rather than enforcing a single rigid layout. Ecosystem partners supply depth-sensing cameras, stereo-vision software, and functional safety engineering services to streamline system validation and certification.

Industry Applications
Target application areas include automotive manufacturing, logistics automation, and hazardous environment inspection using humanoids, mobile manipulators, and collaborative robots. The platform solves the technical challenge of combining high-performance neural network processing with deterministic safety protocols required for precise industrial automation and autonomous navigation.

Operational Impact and Performance Metrics
Operational performance is evaluated through real-time processing capacity, low-latency sensor fusion, and adherence to functional safety standards. The integration of NVIDIA IGX Thor specifications provides high-performance processing capabilities and multiple camera inputs, establishing a flexible foundation for scalable system integration. As noted by Paul Schmitt, CTO of Reynolds & Moore, it combines AI, motion control, and functional safety into one platform with T5000 specs and 8 GMSL camera inputs, providing developers high-performance processing power and a flexible, practical foundation for safety by design, system integration, and validation.

Edited by Sucithra Mani, Induportals editor – adapted by AI

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