MARS400 PRO

Edge computing controller + Intel RealSense D435i depth camera — sold as a hardware bundle, ready to use out of the box. Perception, decision, and action, unified in a single edge AI robotics platform

Overview

Overview

Perception, Decision, and Action — An Integrated Edge AI Robotics Platform

MARS400 PRO is NexCOBOT's edge computing controller built for robotic vision-based grasping applications. Powered by an NVIDIA GPU edge computing platform, it comes preloaded with Isaac ROS Manipulator and a full ROS2 development environment, and can be extended with VLA / VLM models depending on the application. Bundled with the Intel RealSense D435i depth camera, hardware and AI models are delivered as an integrated package — eliminating extra procurement and compatibility concerns, so the system runs vision-based grasping applications right out of the box.


Complete Solution

MARS400 PRO Complete Solution

Edge computing controller + depth camera, sold as a hardware bundle and ready to use out of the box — saving the time and cost of sourcing components and verifying compatibility yourself.

MARS400 PRO
USB RJ45 GMSL
 
High Speed
Intel RealSense D435i
Edge AI Controller

MARS400 PRO

  • NVIDIA GPU edge computing platform
  • Preloaded with Isaac ROS Manipulator, ROS2
  • Supports a variety of VLA / VLM models
  • Full ROS2 development environment
RGB-D Depth Sensing Camera

Intel RealSense D435i

  • RGB + Depth
  • USB plug-and-play
  • Provides the image source for FoundationPose pose estimation
  • Image source for VLM / VLA
Hardware Bundle, Ready to Use

Physical AI Controller

  • Hardware and AI models delivered as an integrated package
  • No extra procurement, no compatibility concerns
  • Ready to run vision-based grasping applications out of the box (Model training required by the user — NexCOBOT training available)
  • Perception, decision, and action — fully integrated
Module Overview

MARS400 PRO Module Overview

Built on isaac_ros_manipulator and integrating multiple VLA / VLM / WBHL models to give users flexible options. Three core modules operate around the MARS400 PRO platform, covering everything from standardized operations to forward-looking bipedal locomotion.

Core Integration | Available

Isaac ROS Manipulator

  1. Isaac ROS RTDETR
  2. Isaac ROS FoundationPose
  3. Isaac ROS cuMotion

Use Case → Pick & place, sorting. For common, simple point-to-point operations, the vision model can run directly after retraining — ideal for production tasks that need fast deployment.

 
MARS400 PRO
 
 
Planned

VLA Models

  1. Nvidia GR00T
  2. Physical Intelligence π-0
  3. VLM

Use Case → Assembly, dual-arm collaboration, packaging. Users can train models for their specific scenarios to extend into more complex or non-standardized tasks.

Gait Control

Whole-Body Humanoid Locomotion <Safetics>

Use Case → Bipedal robot self-balancing. Robot locomotion across enclosed and open-field environments.

Cross-Brand Robot Control

Cross-Brand Robot Control IntegrationComing Soon

Goal: control robot arms across multiple brands directly or indirectly, so users' existing equipment can adopt MARS400 PRO's AI capabilities.

Roadmap Feature — Not Yet Available Everything in this section is a planned capability under development. Cross-brand robot control is not currently supported on MARS400 PRO and is not part of the shipping product today.
Planned — Not Yet Available
5Target Robot Brands
3Control Methods
Supported Robot Brands
FanucFanuc
YaskawaYaskawa
KukaKuka
ABBABB
URUR
Robot Control Methods
MARS400 PRO
AI Model
Target Robot
(5 Brands)
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›
›
›
›
›
›
›
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Method 1Direct Control
ROS Action / Topic
ros_controller
Method 2Syntax Conversion Control
ROS2 Node (Get Waypoint)
Convert to Robot-Specific Syntax
Method 3GRC Control
ROS2 Node (Get Waypoint)
GRC

Main Features

MARS400 PRO
  • 1 x HDMI · 4 x USB 3.2 Gen1 · 4 x RJ45 LAN · 8 x GMSL · 3 x M.2 Slot
  • DC 24V to 48V input · 0~50 °C operating temperature
  • Preloaded with Isaac ROS Manipulator
  • Supports NVIDIA GR00T, Physical Intelligence π-0, and VLM models (Option)
  • Integrated NexECM (EtherCAT Master) (Option)
  • Integrated NexRTOS (Real-Time Linux) (Option)

Specifications

 

CPU Support 14-core Arm® Neoverse®-V3AE 64-bit CPU
1 MB L2 cache per core
16 MB shared system L3 cache
GPU Support 2560-core NVIDIA Blackwell architecture GPU, 96 fifth-generation Tensor Cores, and 10 Tensor Processing Clusters (TPCs)
Memory 128 GB 256-bit LPDDR5X, 273 GB/s
Storage M.2 Key M slot, support NVMe up to 512GB (optional)
I/O Interface – Front 1 x HDMI
4 x RJ45 LAN
4 x USB 3.2 Gen1
8 x GMSL2
2 x RS232/422/485, 2 x RS232
2 x CAN FD
8 x GPI / 8 x GPO
Expansion Slot 1 x M.2 Key M, 2280 form factor (PCIe x4) for NVMe SSD
1 x M.2 Key B, 3042/3052 (USB2.0, USB3.0) — Support 4G/5G module
1 x M.2 Key E, 2230 (PCIe x1 Gen1, USB2.0) — Support WiFi/BT module
Power Requirement DC 24V to 48V input
Dimensions (TBD) 172.6(W) x 145(D) x 109.5(H) mm
Construction Aluminum and metal chassis with cooling design.
Installation: wall-mounting
Environment Operating temperature: 0°C to 50°C, ambient with air flow (per IEC60068-2-1, IEC60068-2-2, IEC60068-2-14)
Storage temperature: -20°C to 85°C
Relative humidity: 90% (non-condensing)
BSP & Software Package JetPack on IGX or IGX OS
NexECM (EtherCAT Master) & NexRTOS (Real-Time Linux)
Certifications CE — EN61000-6-2, EN61000-6-4
FCC Class A
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