Intelligent Robotics full-stack compute enablement

Full-Stack Compute, Powering the Intelligent Robotics Ecosystem

An integrated edge–cloud technology foundation, developed with industry partners to accelerate commercial deployment.

Full-Stack Compute, Powering the Intelligent Robotics Ecosystem

An integrated edge–cloud technology foundation, developed with industry partners to accelerate commercial deployment.

Industry Solutions

Tailored collaboration models for partners across the robotics value chain.

Robot Manufacturers

Integrate edge AI, real-time control, and cloud services to reduce low-level platform engineering.

Senior Care Providers

Connect robots to operations platforms for safety-event monitoring and device management.

Healthcare Ecosystem

Advance validation and deployment across hardware, software, and real-world use cases.

Industry Solutions

Tailored collaboration models for partners across the robotics value chain.

Robot Manufacturers

Integrate edge AI, real-time control, and cloud services to reduce low-level platform engineering.

Senior Care Providers

Connect robots to operations platforms for safety-event monitoring and device management.

Healthcare Ecosystem

Advance validation and deployment across hardware, software, and real-world use cases.

Full-Stack Edge–Cloud Architecture

A four-layer stack spanning on-device perception, real-time control, cloud AI, and fleet operations.

Full-Stack Edge–Cloud Architecture

Full-Stack Edge–Cloud Architecture

A four-layer stack spanning on-device perception, real-time control, cloud AI, and fleet operations.

Full-Stack Edge–Cloud Architecture

Purpose-Built Edge AI SoC

A purpose-built edge AI SoC for robots, co-designed across hardware and software to optimize human–robot interaction.

Multimodal Perception

Heterogeneous acceleration enables on-device multimodal perception and real-time 3D obstacle avoidance.

Data Masking

A hardware-isolated secure environment performs local data de-identification and keeps sensitive data on device.

On-Device LLM/VLM Inference

Optimized for efficient on-device execution of quantized LLMs and VLMs.

Low-Latency Force Control

A kilohertz-rate force-control loop supports compliant, human-like interaction and helps reduce collision risk.

Always-On Monitoring

Low-power always-on monitoring with rapid compute wake-up provides 24/7 safety coverage with built-in redundancy.

Purpose-Built Edge AI SoC

A purpose-built edge AI SoC for robots, co-designed across hardware and software to optimize human–robot interaction.

Multimodal Perception

Heterogeneous acceleration enables on-device multimodal perception and real-time 3D obstacle avoidance.

Data Masking

A hardware-isolated secure environment performs local data de-identification and keeps sensitive data on device.

On-Device LLM/VLM Inference

Optimized for efficient on-device execution of quantized LLMs and VLMs.

Low-Latency Force Control

A kilohertz-rate force-control loop supports compliant, human-like interaction and helps reduce collision risk.

Always-On Monitoring

Low-power always-on monitoring with rapid compute wake-up provides 24/7 safety coverage with built-in redundancy.

Real-Time Robot Control Platform

Real-Time Robot Control Platform

Connects edge compute with application-layer software, closing the control loop from AI inference to robot actuation.

Hardware–Software Co-Design

Deep integration of control algorithms and silicon reduces scheduling latency and improves compute utilization.

Time-Synchronized Sensor Fusion

Unified scheduling of multi-source sensor data enables low-latency, time-synchronized multimodal perception.

Task Classification and Routing

Classifies and prioritizes tasks, dynamically allocating edge and cloud compute to balance latency, cost, and performance.

Real-Time Robot Control Platform

Connects edge compute with application-layer software, closing the control loop from AI inference to robot actuation.

Hardware–Software Co-Design

Deep integration of control algorithms and silicon reduces scheduling latency and improves compute utilization.

Time-Synchronized Sensor Fusion

Unified scheduling of multi-source sensor data enables low-latency, time-synchronized multimodal perception.

Task Classification and Routing

Classifies and prioritizes tasks, dynamically allocating edge and cloud compute to balance latency, cost, and performance.

Robotics Cloud AI Platform

An enterprise-grade cloud AI platform for robotics, delivering advanced intelligence and lifecycle operations.

Three Core Services and Four Foundational Technologies

Robotics Cloud AI Platform

An enterprise-grade cloud AI platform for robotics, delivering advanced intelligence and lifecycle operations.

Three Core Services and Four Foundational Technologies