The Future of AMRs Now Wide OpenADLINK ROS 2 Solution

Table of Contents

02

The Future of AMRs is Open03

Discover Our ROS 2 Robotic Controllers

04

Solution Stack05

Accelerate Your Success with ADLINK ROS 2 Solution

06

Key Components of a Sensor Fusion System

07

Unleashing the Power of AMRs with ADLINK ROS 2 Solution

08

Next-Gen Logistics Automation - Forklift Robot09

24/7 Automated Delivery Service - Delivery Robot

10

Effortless Lawn Care - Robotic Lawn Mower

11

Automated Safety Patrol - Security Robot

12

The Future of Public Transit - Autonomous Vehicle

13

Product Selection Guide

14

The Future of AMRs
Now Wide Open
The future of Automated Mobile Robots (AMRs) is now wide open,
as they are due to revolutionize every sector. These intelligent
machines can autonomously navigate and adapt to dynamic
environments, performing tasks like material handling, package
delivery, lawn mowing, and more. With proven value in enhancing
productivity and safety, AMRs will become even smarter and more
adaptable further down the road, expanding their applications
to sectors beyond imaginable. Embrace AMRs and automation
technologies, and you are in for a transformational treat in the
coming years.

03

Discover Our

ROS 2 Robotic Controllers
The robotic controller is crucial in enabling an AMR to operate independently. Since it has tocombine sensor data, decision-making algorithms, and task execution logic to navigate, interact
with its environment, and carry out assigned tasks efficiently and safely, its effectiveness directly
impacts the AMR system's overall performance, reliability, and adaptability. Hence, ADLINK has
created the ROScube, a highly versatile and modular ROS 2 robotic controller family, and here
are the three main series of ROScube:

RQX-59F

ROX-58G-E

RQP-T37

ROScube–Pico TGL
Compact robotic controller powered byIntel® CPU for quick and easy development

04

ROScube–X
AI robotic controller powered by
NVIDIA® Jetson™ for real-time
Sensor Fusion

ROScube–I
Intelligent robotic controller powered byIntel® CPU for complex data processing

RQI-58-E

Solution Stack
The ROScube family is specially designed to seamlessly integrate with ROS 2 and its ecosystem.
This guarantees a smoother development process and improved synergy between hardware and software.

ROS 2
Robotic
Controller

RQX-59 Series

Hardware

RQX-580/58G

AI Accelerator SDK

SoftwareNPN-1B/2B

ROS-Compatible Add-Ons & SDK

Intel
OpenVino

Remote Control
EdgeGoQuick Start PoC
Neuron SDK

NVIDIA
TensorRT

Motion Control
SuperCat

ProtocolZenoh, Cyclone DDSTENSORRTRQP-T33/35/37

RQI-53/55/57/58

Integrated Development Utilities
N AV 2

Security
Trusted OS, TPM

RQT
RQT_Graph

OS – ROScube BSP - Ubuntu Linux Kernel

Partners

Solution
Partners

SensorPartners

CameraLiDAR

ADLINK's products and services

05

Accelerate Your Success with
ADLINK ROS 2 Solution
Benefits

We have years of experience insystem and sensor integrations.

We are proud to support startup
developers with Neuron SDK for an
accelerated PoC and implementation.

We are experts in edge AI platform
and BSP customization.

Service Flow
In-depth discussion
over project details
and requirements

06

Recommending asuitable edge AI
platform (robotic
controller)

Customer testing
and feedback

Quick PoC andimplementation

Key Components of a
Sensor Fusion System
A sensor fusion system combines data from multiple sensors
to provide an accurate understanding of the environment.

3D LiDAR

Key components of such a system include• Crucial sensors: Cameras, LiDAR, radar, and more, capturing different types of data.
• Data preprocessing: Cleaning and organizing data for further processing.
• Sensor calibration: Ensuring proper alignment and synchronization.
• Sensor data fusion algorithms: Combining data and extracting valuable information
using techniques such as Kalman filtering and particle filtering.
• Edge perception units and/or computational platforms: Effectively processing large
amounts of data and flawlessly executing fusion algorithms.

360-Degree Camera

Robotic Controller (RQX-59 Series)
Mic & Speaker

3D Camera

ADLINK's ROScube robotic controller is known for its outstanding performanceand power efficiency. The RQX-59 Series is the perfect edge perception systemthat offers Frame Sync for GMSL2 and FPD-Link III cameras, as well as customized
BSPs. It has a comprehensive I/O interface and uses the Jetson AGX Orin module,
designed to process sensor fusion data and execute fusion algorithms seamlessly.
07

RQP-T37
RQX-59F

Unleashing the Power of
AMRs with ADLINK ROS 2 Solution
08

Use Case

Next-Gen Logistics Automation
Project Purpose• Growing demand for smarter and more flexible AGV systems.
• AMRs offering efficient solutions amid rising labor costs.
• Minimizing workplace injuries caused by incorrect machine handling.

Forklift Robot

Diagram

Challenges & Requirements• Covering a wide geographic area andtransporting heavy goods over long distances.
• Must maintain daily productivity with limited
staff resources.

Ultrasonic Sensor

UART

Proximity Sensor

M.2 Key B

M.2 Key E

Solution & Insight• ADLINK’s RQX-59F can support various typesof LiDAR and up to 8 FPD-Link III cameras. It
processes sensor data in real-time and enables
forklift robots to navigate safely in narrow
spaces, even with big and heavy cargo.
• A forklift robot can do the work of several
workers and never get tired, reducing labor costs
yet improving work efficiency.

UART

ADLINK RQX-59F

Mini FAKRA

5G M.2 Data Card

Data Transmission

Wi-Fi 6 + BT
Combo Module

Data Transmission

x8
FPD-Link III
CameraLocalization / Mapping

SensorFusionLAN

Object Detection
LiDAR

Frame sync
Segmentation
UART

IMU Sensor

09Use Case

24/7 Automated Delivery Service
Project Purpose• Increasing demand for contactless, efficient delivery.
• Fulfilling 24/7 delivery services while addressing labor shortages in the delivery industry.
• Cost-effective alternative to traditional delivery services.

Delivery Robot

Diagram

Challenges & Requirements• Ensuring safe and reliable automatednavigation in dynamic and unpredictableenvironments• Designing and integrating robust sensor
systems for accurate perception andobstacle avoidance

Solution & Insight• ADLINK’s RQX-59G supports the integration ofvarious sensors, such as cameras and LiDAR,
and effectively collects and processes sensor
fusion data for reliable navigation and obstacle
detection in dynamic environments.
• ADLINK’s RQX-59G has a wide temperature
operating range, ensuring performance andreliable operation in summer heat.

ADLINK RQX-59G

UART

UART

M.2 Key B

M.2 Key E

Mini FAKRALAN

x8
GMSL 2 Camera
Proximity
SensorUltrasonicSensor

5G M.2
Data Card

LiDAR

Wi-Fi 6 + BT
Combo Module

Sensor Fusion
Data Transmission

Data Transmission

Localization / Mapping

10

Frame sync

Object Detection

Segmentation

Use Case

Effortless Lawn Care
Project Purpose• Robotic lawn mowers can be equipped with automated safety features for emergencies to prevent accidents
and injuries caused by human errors.
• Effortless lawn maintenance and consistent results are achieved as the robotic mower handles cutting,trimming, and mulching, leading to a well-maintained lawn year-round.

Robotic Lawn Mower

Diagram

Challenges & Requirements• A reliable edge AI platform to control the robot
and process sensor data in real-time.
• 360-degree perception to navigate optimallythrough different terrains and environments.

5G M.2 Data Card

M.2 Key E

Solution & Insight• The RQX-59F with Jetson AGX Orin enhances
the robotic mower’s precision by detecting
and avoiding obstacles through powerful AI
performance.
• The RQX-59F supports up to 8 FPD-Link
III cameras to ensure 360-degree image
coverage, with internal IMU sensors also
helping with navigation.

M.2 Key B

UART
Ultrasonic Sensor

Wi-Fi 6 + BT
Combo Module

Data Transmission

Data Transmission

UART
Proximity Sensor

ADLINK RQX-59F

Mini FAKRA

x8
FPD-Link III
Camera

UART/USB
GNSS module

LAN

Localization / Mapping

SensorFusionObject Detection

LiDAR

Frame sync
Segmentation

11

Use Case

Automated Public Safety Patrol
Project Purpose• Security robots can be programmed to follow specific routes and protocols, ensuring reliable coverage
without distractions or human errors• Security robots can handle real-time threats using the processed data received from various sensors,
replacing human guards in hazardous environments.

Security Robot

Diagram

Challenges & Requirements• The robots should be able to issue visual, audio,
and smoke warnings to suspicious individuals
and apprehend perpetrators.
• The robot should be able to patrol public areas
and address potential threats automatically.
Plus, it should be able to react quickly.

ADLINK RQP-T37

UART

M.2 Key E

USB

LAN

USB Camera

nanoScan3 LASER

Solution & Insight• The RQP-T37 enables complex tasks like facialrecognition and object detection and can also
facilitate real-time data processing for quick
decision-making.
• The RQP-T37 is a compact and energy-efficientdevice that significantly reduces power
consumption in security robots.

12

IMU Sensor

Wi-Fi 6 + BT
Combo Module

Use Case

The Future of Public Transit
Project Purpose• Autonomous vehicles are equipped with advanced sensors and artificial intelligence, reducing humanerrors and accidents caused by distractions, fatigue, or impaired driving.
• Autonomous vehicles can communicate with each other and optimize traffic flow, leading to smootherand more efficient transportation systems.

Autonomous Vehicle

Diagram

Challenges & Requirements• Seamless integration of hardware and software
components with robust middleware.
• Achieving precise synchronization between LiDAR
and multiple automotive cameras is crucial.
• Advanced computing is necessary for safetymeasurements and monitoring.

ADLINK RQX-58G

M.2 Key B

M.2 Key E

5G M.2
Data Card

Mini FAKRA

Wi-Fi 6 + BT
Combo Module

Frame sync

LAN

x8
GMSL 2 Camera

LiDAR

Solution & Insight• TIER IV has implemented an edge perception
development kit for self-driving buses atairports and in crowded cities.
• The edge perception development kit includes
ADLINK’s ROScube RQX-58G controller and TIER
IV’s C1/C2 cameras.
• ADLINK’s RQX-58G excels in supporting sensor
fusion data processing and simultaneously
supporting up to 8 automotive GMSL2 cameras.
Note: To learn more about the Edge Perception Development Kit, please visit:https://www.adlinktech.com/en/autonomous-driving-visual-perception-tier-iv.
We highly recommend upgrading the RQX-58G to the latest RQX-59G model for
8X stronger AI performance with the Jetson Orin module.

Sensor Fusion
Data Transmission

Data Transmission

Localization / Mapping

Object Detection

Segmentation13

Product
Selection
Guide

Model Name

RQX-59 Series

NVIDIA or Intel

NVIDIA® Jetson AGX Orin™

GMSL2 / FPD-Link III enabled

GMSL2 x 8 /FPD-Link III x 8

Frame Sync and Time Sync

Yes

®

®

GMSL2

FPD-Link III

LiDAR

Tier IV: Automotive HDRcamera C1/C2
Leopard: LI-AR0233-GMSL2
Validated Sensors

oToBrite: oToCAM264ISP

Leopard: LI-AR0820-GMSL2

OS1-32oToBrite: oToCAM264ISPoToBrite: oToCAM260ISP
Sensing: SG8-OX08BC-5300GMSL2
OS

Jetpack 5.1.2 or above
Ubuntu 20.04

I/O

4x USB3.2; 2 x lockable USB3.2; 1x Micro USB (OTG); 2 x GbE

Storage Device

1x M.2 Key M 2280 and 2242; 1x micro SD card slot

Expansion

1x M.2 Key E 1630/2230 for Wi-Fi 6/BT; 1x M.2 Key B 3042/3052 for 5G/LTE

Audio

Input/ Output

CAN busCAN FD

Dimensions
Weight14

oToBrite: oToCAM222

190 x 210 x 80 mm, 7.48 x 8.27 x 3.149 in (W x D x H)
With expansion: 322 x 210 x 80 mm, 12.68 x 8.27 x 3.149 in (W x D x H)
3.4kg w/o expansion box
4.7kg w/ expansion box

Model Name

RQX-580/58G

RQP-T33/35/37

RQI-53/55/57/58

NVIDIA or Intel

NVIDIA Jetson AGX Xavier™

®

11th Gen Intel Core™ i7/i5/i3

8/9th Gen Intel® Core™ i7/i5/i3

GMSL2 / FPD-Link III enabled

GMSL2 x 8

USB camera

USB camera

®

®

®

Frame Sync and Time Sync

Yes
GMSL2

Yes
LiDAR

LiDAR

Tier IV: Automotive HDRcamera C1/C2
Validated Sensors

Leopard: LI-AR0233GMSL2
Leopard: LI-AR0820GMSL2

Yes

USB camera

USB camera

Ouster OS1-32
Ouster OS1-32

Intel Realsense D435

oToBrite: oToCAM264ISP

LiDAR

Ouster OS1-32
Intel Realsense D435

SICK nanoScan3

SICK nanoScan3

oToBrite: oToCAM260ISP
OS

Jetpack 4.6 or above
Ubuntu 18.04

Compatible with Ubuntu 20.04

Compatible with Ubuntu 20.04

I/O

4x USB3.2; 2 x lockable USB3.2;
1x Micro USB (OTG); 2 x GbE

2x USB 3.2 Gen2 Type A port;2x USB 3.2 Gen2 Type C
ports; COM 1: RS-232; COM 2: power management;
1x 1GbE, 1x 2.5GbE; 1x DP, 1x HDMI

4x GbE; COM 1/2: RS-232/422/485;
6 x USB 3.1 Gen 1 Type A; 4x USB 2.0 Type A

Storage Device

1x M.2 Key M 2280 and 2242; 1x micro SD card slot

1x M.2 Key-M for NVMe PCIe Gen4 x4 SSD

Expansion
Audio
CAN bus
Dimensions
Weight1x M.2 Key E 1630/2230 for Wi-Fi 6/BT;
1x mini PCIe socket for 4G/LTE
Input/ Output
CAN FD
190(W) x 210(D) x 80(H) mm (7.48 x 8.27 x 3.149 inch)
With Expansion: 322(W) x 210(D) x 80(H) mm(12.68 x 8.27 x 3.149 inch)
3.4kg w/o expansion box
4.7kg w/ expansion box

1x M.2 Key-E 2230 for Wi-Fi
Input/ Output
N/A

256GB mSATA SSD or 128GB mSATA SSD or 64GB
mSATA SSD
1 x Mini PCIe for CAN; 1 x Mini PCIe for WiFi or LTE;
1 x A+E key, 2230 for Wi-FiN/ACAN FD module (FARO-FP900) (optional)

140 (W) x 110 (D) x 63 (H) mm

w/o expansion box: 210(W) x 240(D) x 86(H) mm;
w/ expansion box: 210(W) x 240(D) x 165(H) mm

1,086g3.6kg w/o expansion box
4.6kg w/ expansion box
15

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