Comprehensive Robotic Architecture for Physical AI Applications

[Erkan Teskancan]

## Comprehensive Robotics Architecture for Physical AI Applications

Qualcomm Technologies has introduced a comprehensive robotics architecture, including hardware, software, and unified AI solutions, along with a new industrial processor, to support the scalable deployment of physical AI systems.

The new architecture aims for the rapid and reliable real-world deployment of autonomous robots. Qualcomm's approach offers a unified, end-to-end system designed to bridge the gap between laboratory prototypes and industrial-scale applications.

### Dragonwing IQ10 Industrial Robotics Processor

At the heart of the architecture is the Qualcomm Dragonwing™ IQ10 Series processor, positioned as the "brain" of the robots. This high-performance processor combines high processing density with energy efficiency, supporting seamless operation in industrial environments.

### Technical Specifications

• High computational density and energy efficiency
• Heterogeneous computing capabilities supporting sensing, motion planning, and control
• Execution of advanced AI models (visual-language-action and visual-language models) at the edge
• Low-latency decision-making by reducing reliance on cloud connectivity
• Deterministic operation of critical systems (motion control, obstacle avoidance)
• Support for mixed-priority systems

### Software and Partner Ecosystem

Software frameworks, machine learning operations, and the AI data loop are also part of the architecture. With this structure, data collection, training, validation, and model deployment are accelerated in robot fleets, while capability development processes become continuous. Qualcomm aims to overcome the final integration hurdles by collaborating with partners in hardware and application domains.

### Sectoral Applications and Use Cases

The Dragonwing processor is already being used in humanoid robot platforms by companies like Booster and VinMotion. Discussions with KUKA signal the integration of this technology into advanced industrial automation systems.

The architecture targets a wide range of application areas, including industrial automation, logistics, public service robots, and humanoid robots requiring complex human-robot interaction. Energy efficiency is critical for the operating time of mobile robots and humanoid systems.

### Innovations for Physical AI

Qualcomm Technologies aims to overcome a fundamental barrier in physical AI, transitioning from experimental systems to reliable and scalable machines by offering an integrated and complete robotic stack. This platform provides a robust foundation for the sustainable operation of industry-standard autonomous robots outside of controlled laboratory environments.