Learn the basics of AI (Artificial Intelligence) SLAM and Algorithm using TensorFlow for machine learning and deep learning.Experience high levels of image processing and machine learning LiDAR RoboEX providesvarious practical exercises for LiDAR which are applied to autonomous vehicles.

Features

• Experience from basic theories for machine learning to algorithms for its implementation.
• Deep learning training
• Machine learning and deep learning using Tensorflow for high performance numerical computation.
• High speed of computation using high performance GPU.
• Real-time image processing service using camera mounted on the product.
• Training for controlling technology for DC motor and omnidirectional wheel.
• Experience of Python language.
• Learning ultrasonic sensor and infrared distance sensor (PSD) technology as well as object detection and obstacle awareness.
• Robot driving body adopting Arduino enables learning motor controls and sensor status information acquisition.
• Learn ROS and SLAM using LiDAR used for self-driving.
• Distance & angle measurement using LiDAR, and path searching using algorithm.
• Practical exercises for Neural Network.