Robots are becoming more than motion platforms. They need to see, understand, communicate, and make decisions locally—often while processing multiple cameras, LiDAR, industrial sensors, and control signals at the same time.
That is where an industrial AI edge computer can make a difference.
The EA230Pro combines the NVIDIA® Jetson Orin™ Nano platform with industrial communication interfaces, flexible camera expansion, and ruggedized hardware—creating a compact computing platform for AMR/AGV, machine vision, mobile robotics, inspection robots, and other AI-enabled robotic systems.
The EA230Pro is powered by the NVIDIA Jetson Orin Nano platform, with:
6-core Arm Cortex-A78AE CPU
Up to 1024 CUDA Cores
32 Fourth-Generation Tensor Cores
Up to 67 TOPS INT8 AI performance
4GB / 8GB LPDDR5 memory
7–25W configurable power modes depending on the compute module
This gives robotic systems local computing resources for AI inference rather than sending every sensor stream to a remote server.
NVIDIA's Jetson ecosystem is already used with ROS 2 for applications such as object detection, visual perception, localization and obstacle avoidance, making Jetson-based edge computing a natural fit for AI-enabled robotics. (NVIDIA Developer)
Modern robots rarely depend on a single sensor.
A typical system may combine:
Cameras + LiDAR + Encoders + Industrial Sensors + Robot Controller
The EA230Pro is designed to accommodate this kind of multi-sensor architecture.
Depending on the configuration, it can support:
Up to 4 × 1GbE camera inputs
Up to 4 × GMSL2 camera inputs
Up to 4-channel MIPI CSI-2
4 × USB 3.1 Gen 1
1 × 2.5GbE + 1 × 1GbE Ethernet
Isolated RS485 / RS232
Isolated CAN FD
Isolated digital inputs and outputs
Optional additional I/O through the Y-board expansion system
This allows robot developers to build different hardware architectures around the same computing platform.
For autonomous mobile robots, the EA230Pro can serve as an AI perception and edge-computing platform.
It can process camera and LiDAR data locally for applications such as:
Object detection
Person detection
Obstacle perception
Visual navigation
Environment understanding
Multi-sensor data processing
NVIDIA has demonstrated Jetson Orin Nano-based robotics systems using cameras, LiDAR, ROS 2, TensorRT and autonomous navigation technologies. (NVIDIA Developer)
For robotic arms and machine-vision systems, the EA230Pro can connect multiple industrial cameras while running AI inference locally.
Possible applications include:
Object Detection → Position Recognition → AI Decision → Robot Command
The platform supports NVIDIA JetPack and the CUDA/TensorRT ecosystem, providing a development environment for deploying AI vision models at the edge.
For inspection robots operating in factories, warehouses, energy facilities or other industrial environments, the combination of:
AI Computing + Industrial I/O + Ethernet + CAN FD + Wireless Connectivity
can reduce the need for multiple independent computing and communication devices.
Optional 4G/5G, Wi-Fi and OOB management modules also provide flexibility for connected and remotely managed robotic platforms.
Robotic applications often need more than GPU computing.
They also need to interact with real-world devices.
The EA230Pro provides isolated RS485/RS232, CAN FD and GPIO interfaces, while its Y-series expansion architecture can add combinations such as:
DI / DO
Analog input / output
RTD / thermocouple
RS485 / RS232
CAN FD
PWM
Pulse counting
The system can support up to 2 × CAN FD, 4 × RS485, 16 × DI and 8 × DO depending on the selected expansion configuration.
This makes it possible to bring AI perception and industrial field connectivity into the same edge computing platform.
A laboratory development kit is not necessarily the same thing as an industrial deployment computer.
EA230Pro uses an aluminum-alloy enclosure and supports:
12–24V DC wide-range power input
-20°C to +75°C operating temperature
Passive or active cooling options
Industrial EMC testing
CE / FCC certification
The specification also documents successful tests for ESD, EFT, surge, voltage dips, temperature, humidity and vibration.
For mobile robots and industrial machines, these details matter because the computing platform needs to operate as part of the machine—not simply sit on a development desk.
Not every robot needs the same configuration.
EA230Pro supports a modular selection approach covering:
Compute Module → NVMe → Camera Interface → I/O Expansion → 4G/5G → Wi-Fi → OOB Management → Cooling
For example, a robot developer can configure:
EA230Pro + Jetson Orin Nano 8GB + NVMe + 4× GMSL2 + CAN FD + RS485 + 4G/5G
for a multi-camera mobile robot architecture.
Another application may instead require:
EA230Pro + 4× Ethernet Cameras + Industrial I/O + Wi-Fi
for a stationary AI inspection system.
The hardware can therefore be adapted to different robot architectures without changing the fundamental computing platform.
The real opportunity is not simply putting a GPU inside a robot.
It is connecting:
Sensing → AI Perception → Data Processing → Decision → Industrial Communication → Robot Action
within a compact edge platform.
With NVIDIA Jetson Orin Nano computing, flexible camera interfaces, industrial communications and expandable I/O, EA230Pro is designed for robotics applications where AI computing and industrial connectivity need to work together at the edge.
For robot manufacturers and system integrators, this means one industrial computing platform can be configured around the specific sensing, communication and I/O architecture of the robot.
For more details about EA230Pro, please visit:
https://bliiot.com/products/nvidia%C2%AE-jetson-orin%E2%84%A2-nano-edge-ai-computer
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