Robot contruction et programmation recherc... | Acheter | Leobotics

Name: Photon Intuitive Educational Learning and Programming Robot
Brand: Leobotics
SKU: PHO-OHP-TON
Price: 379.0 EUR
Availability: InStock

Leobotics

JetAuto is an entry-level ROS robot car suitable for ROS education. It is loaded with NVIDIA Jetson Nano, high-performance encoder motor, lidar, and 3D depth camera, which opens up more features. Robot motion control, mapping and navigation, path planning, obstacle tracking and avoidance, autonomous driving, human feature recognition, somatosensory interaction, and voice interaction can all be realized!

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Nano Jetson Control System

NVIDIA Jetson Nano is capable of running mainstream deep learning frameworks, such as TensorFlow, PyTorch, Caffe/Caffe2, Keras, MXNet. Providing powerful computing power for massive AI projects. Powered by Jetson Nano, JetAuto can implement image recognition, object detection and positioning, pose estimation, semantic segmentation, intelligent analysis, and other powerful functions.

Robot construction and programming robot car Hiwonder JetAuto ROS Jetson Nano with Lidar depth camera touch screen, support SLAM mapping and navigation

2D Lidar Mapping and Navigation

JetAuto is loaded with a high-performance Lidar that supports mapping with various algorithms including Gmapping, Hector, Karto, and Cartographer. In addition, path planning, fixed-point navigation, and obstacle avoidance in the middle of navigation can be implemented.

One Point Navigation, Multi-Point Navigation

JetAuto uses Lidar to sense the environment in real time to achieve single-point navigation as well as multi-point navigation.

TEB path planning, obstacle avoidance

It supports TEB path planning and is able to monitor the obstacle in real time during navigation. Therefore, it can replan the route to avoid the obstacle and continue moving.

RRT Autonomous Exploration Mapping

By adopting the RRT algorithm, JetAuto can perform exploration mapping, save the map and return to the starting point autonomously, so there is no need for manual control

Lidar tracking.

By scanning the moving object ahead, Lidar makes the robot capable of tracking the target.

Lidar tracking

By scanning the moving object ahead, Lidar makes the robot capable of tracking the target.

Depth map data, point cloud

Through the corresponding API, JetAuto can obtain a depth map, a color image and a point cloud from the camera

Deep learning, autonomous driving

With JetAuto, you can design an autonomous driving scenario to put ROS into practice, which helps you better understand the basic functions of autonomous driving.