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Sunlit Room

FIELDER DT

Open-source ROS robot
for Research and Education

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About

What's so special about Fielder DT

Convenient development and learning platform for autonomous navigation research and education in the fields of robotics and automation.

High Accuracy Self-driving Motion Plan Teaching

Multi-level Application Research and Teaching

Robot Configuration Teaching

Modular Development Teaching

Mapping, Positioning, Path Planning, and Obstacle Avoidance Teaching

Features

Application Scenario

FIELDER DT is your gateway to advancing autonomous navigation research and education. Designed for both industry professionals and academic pioneers, this versatile robot opens doors to limitless possibilities in robotics and automation.

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Test and optimize algorithms in dynamic environments.

INDOOR AND OUTDOOR USE

OPEN-SOURCE ROS ROBOT

LOW

MAINTENANCE

AUTONOMOUS

DRIVING

Technical Features

Product Parameter

Navigation Config.

Embedded Computer, 2D LiDAR, Depth Camera, Router

Function

Based on ROS, control the movement of a mobile robot chassis, enabling hardware assembly, decomposition training, and learning of three-dimensional point cloud map construction for autonomous driving. It also includes learning features such as recording and tracking map paths, obstacle detection, free navigation, track following navigation, and vehicle-road coordination for the use and learning of autonomous driving functions.

Computing Unit

i3-8145U/ 2.1 GHz

LiDAR

16m detecting range 2D LiDAR

Cameras

1280x720@7fps  640x480@30fps

IMU

Gyroscope and accelerometer

Available chassis

FR series/FW series/MK series/DT series

Pre-installed OS

Linux Ubuntu/ROS􏚲/ROS2

Navigation Accuracy

Indoor ±5cm; mission point ±4cm

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