Artificial Intelligence Is Moving from the Digital World to the Physical World

As LLMs, multimodal perception, and robotic control technologies continue to advance, Embodied AI is emerging as a key direction in the development of the global technology industry.

Unlike traditional automation equipment, embodied AI robots can perceive their environment, understand context with AI, make autonomous decisions, and execute tasks precisely, forming a complete intelligent closed loop andenabling them to evolve from ‘following instructions’ to ‘autonomously completing tasks‘.

In recent years, the global robotics industry has been developing rapidly. Tesla Optimus is exploring intelligent applications for general-purpose humanoid robots; Figure AI is leveraging large language models to equip robots with language understanding and task execution capabilities; and companies such as Amazon are continuously driving robots into real-world production environments, including warehousing and logistics.

Robots are moving from laboratories into factories, warehouses, and service environments, becoming an increasingly important part of the future of intelligent manufacturing.

However, the large-scale deployment of Embodied AI still faces numerous challenges: real-time perception and rapid response are required in complex environments; multimodal data processing demands powerful computing capabilities; limited space inside robots calls for highly integrated designs; and industrial applications require long-term, stable operation…

Computing Platform Is Becoming the Key to Robot Intelligence

Designed for applications including humanoid robot, AGV/AMR, and industrial robot, Future Robot is developing a comprehensive computing architecture around the evolution of intelligent robotics, spanning AI computing, real-time control, and industrial edge intelligence.

Built on high-performance computing, rich I/O capabilities, and industrial-grade reliability, these solutions provide the computing foundation robots need across the entire workflow—from perception and decision-making to execution. They deliver greater computing performance, faster response times, flexible system integration, and reliable deployment for real-world industrial applications.

Three Core Platforms Accelerating the Real-World Deployment of Embodied AI

IEM-2170

Designed as a high-performance computing module for Embodied AI applications, the IEM-2170 delivers powerful AI inference capabilities to support robotic vision perception, environmental understanding, and intelligent decision-making. Powered by the Intel® Core™ Ultra Series 3 platform, it delivers up to 180 TOPS of AI performance.

Supports:
□ On-Device AI Inference
□ Multimodal AI Processing
□ AI Vision Recognition and Analysis
□ On-Device LLM Deployment

AR100

For robots to move from demonstrations to real-world applications, they need both intelligent decision-making and real-time control capabilities. The Ahttps://www.futurerobottech.com/product/ar100/R100 integrates these two capabilities into a unified architecture, combining AI computing with real-time motion control. Powered by the Intel® Core™ Ultra Series 3 platform, the AR100 also supports on-device inference of lightweight large AI models, enabling millisecond-level real-time response.

Supports:
□ Autonomous Navigation and Obstacle Avoidance
□ AI-Based Vision Recognition
□ Path Planning
□ Multi-Robot Coordination and Fleet Management
□ Cloud-Based Remote Management

EA510F

As robots move from single-point testing to large-scale deployment, stable and reliable edge computing capabilities are becoming increasingly critical. The EA510F delivers up to 99 TOPS of AI computing performance, supporting AI-powered vision recognition, edge AI model inference, multi-sensor fusion, and real-time intelligent analysis.

Extensive Expansion Capabilities:

• 7 × Intel® GbE LAN
• Multiple industrial I/O interfaces
• Multi-device connectivity and collaboration

Industrial-Grade Design:

• Wide-voltage input
• Stable operation in industrial environments
• High-reliability mechanical design
• Designed for long-term operation in smart factories, intelligent logistics, and industrial inspection and other demanding applications

Empowering the Scaled Deployment of Embodied AI

The future of robotics will be shaped not only by advances in mechanical design, but by the combined capabilities of perception, AI computing, control, and industrial reliability.

With robotic computing platforms at its core, Future Robot provides a comprehensive computing architecture for intelligent robots:
• IEM-2170 Intelligent Computing Module — delivers high-performance AI computing for robotic intelligence.
• AR100 Integrated AI & Real-Time Control Platform — combines intelligent decision-making with precise motion control.
• EA510F Edge AI Computing Platform — enables stable and reliable deployment in industrial environments.

From laboratory development to real-world industrial applications, Future Robot continues to provide high-performance, reliable, and scalable intelligent computing solutions to accelerate the evolution of the robotics industry.