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Outdoor Autonomous Driving Platform

ADL Series

An indoor-outdoor hybrid AI autonomous driving 4-wheel drive module robot platform capable of navigating pedestrian walkways, parks, construction sites, and rugged outdoor terrains.

ADL200

Large Outdoor Robot Platform

ADL050

Medium Outdoor Robot Platform

Indoor Autonomous Driving Platform

IP Series

A DD(differential drive) indoor AI autonomous drive module robot platform that can even drive on asphalt through a sturdy buffer structure, spanning from hallways and offices to logistics warehouses and factories.

IP200

Large Indoor AMR

IP050

Medium Indoor AMR

IP010

Small Indoor AMR

Specification

Robotics

After multiple tests ensuring the safe protection of both humans and robots, we provide highly stable movement control hardware and software, equipped with optimal functionalities applicable to various service robots.

 Obstacle detection and avoidance

 Vibration detection driving mode

 Emergency stop mode

 8 Steps Speed control

 SW package provided

Hardware

Simplified designs of complex frames and components enable the easy development of robots of various sizes and structures through module combinations. Even with a simple frame, we secured durability to withstand loads up to 150kg. We applied IP67 basic waterproof design and featured a patented unique technology allowing flexible size extensions in 5mm increments, regardless of the number of wheels.

Patent

Trademark rights, Power transmission device for autonomous driving robots, patent application and registration for emergency stop devices.

Software

By applying artificial intelligence technology, the robots can independently move and make decisions to perform tasks. We conduct in-house research and development to analyze the surrounding environment using sensors and cameras, allowing the robots to make appropriate decisions. The collected data is processed by algorithms. Training data is labeled and analyzed, and patterns are learned to plan travel routes, adjust speeds, and detect and respond to pedestrians, objects, obstacles.

1. Data Collection

2. Training Data Labeling

3. Deep Learning and Testing Data

4. Model Creation and Application

🔍   Examples of Object Recognition Learning

📍   Examples of Outdoor Cleaning Area Configuration Learning

Copyright @ by AIDL All Right Reserved. Hosted by Imweb

Outdoor Autonomous Driving Platform

ADL Series

An indoor-outdoor hybrid AI autonomous driving 4-wheel drive module robot platform capable of navigating pedestrian walkways, parks, construction sites, and rugged outdoor terrains.

ADL200

Large Outdoor Robot Platform

ADL050

Medium Outdoor Robot Platform

Indoor Autonomous Driving Platform

IP Series

A DD(differential drive) indoor AI autonomous drive module robot platform that can even drive on asphalt through a sturdy buffer structure, spanning from hallways and offices to logistics warehouses and factories.

IP200

Large Indoor Robot Platform

IP050

Medium Indoor Robot Platform

IP010

Small Indoor Robot Platform

Specification

AIDL AMR
Outdoor
Indoor
ADL200
ADL050
IP200
IP050
IP010
Size(mm)
865 X 634 X 330
650 X 450 X 250
1200 X 825 X 240
800 X 550 X 160
315 X 240 X 90
Weight
45 kg
30 kg
100 kg
60 kg
8 kg
Payload
80 kg
50 kg
300 kg
150 kg
10 kg
Sensor
Wheel Encoder x 2ea, IMU x 1ea
2D LiDAR x 2ea, Wheel Encoder x 2ea, IMU x 1ea
Runtime
4 hour
Max Speed
4 km/h
Operating System
ROS1 Noetic, C++, Python ...

Robotics

After multiple tests ensuring the safe protection of both humans and robots, we provide highly stable movement control hardware and software, equipped with optimal functionalities applicable to various service robots.

  Obstacle detection and avoidance

  Vibration detection driving mode

  Emergency stop mode

  8 Steps Speed control

  SW package provided

Hardware



8 Steps Speed

Emergency mode

driving mode


SW package

Simplified designs of complex frames and components enable the easy development of robots of various sizes and structures through module combinations. Even with a simple frame, we secured durability to withstand loads up to 150kg. We applied IP67 basic waterproof design and featured a patented unique technology allowing flexible size extensions in 5mm increments, regardless of the number of wheels.

Patent

Trademark rights, Power transmission device for autonomous driving robots, patent application and registration for emergency stop devices.

Software

By applying artificial intelligence technology, the robots can independently move and make decisions to perform tasks. We conduct in-house research and development to analyze the surrounding environment using sensors and cameras, allowing the robots to make appropriate decisions. The collected data is processed by algorithms. Training data is labeled and analyzed, and patterns are learned to plan travel routes, adjust speeds, and detect and respond to pedestrians, objects, obstacles.


Data Collection



Training Data Labeling


Deep Learning and Testing Data


Model Creation and Application

🔍   Examples of Object Recognition Learning

📍   Examples of Outdoor Cleaning Area Configuration Learning

         

@Copyright 2022. All Right Reserved. Hosted by Imweb