JetAuto Pro ROS Robot Car with Vision Robotic Arm Powered by Jetson Nano Support SLAM Mapping/ Navigation/ Python (Advanced Kit）

• Powered by NVIDIA Jetson Nano (included) and based on the Robot Operating System (ROS)
• FPV robotic arm for picking, sorting and transporting objects
• Depth camera and Lidar for mapping and navigation
• 7 inch touch screen to monitor and debug parameters
• 6 microphone array for voice interaction (Advanced Kit only)

The Jetauto Pro ROS Robot Car w/ Vision Robotic Arm & Jetson Nano (Advanced Kit)is equipped with NVIDIA Jetson Nano, AI vision robotic arm, high performance encoder motor, Lidar, 3D depth camera and 7 inch screen, which open up more functionalities. With this combination of hardware, JetAuto Pro is an ideal platform for learning and verifying robotic SLAM functions, as well as obtaining a solution to ROS development. Massive ROS learning materials and tutorials are provided to help you get started quickly.

The Vision robotic arm and depth camera on JetAuto Pro can be disassembled, enabling it to freely switch between two models. The high performance Lidar supports mapping with diverse algorithms including Gmapping, Hector, Karto and Cartographer. It also supports path planning, fixed point navigation, obstacle avoidance and multi point navigation. Furthermore, it supports TEB path planning and is able to monitor the obstacle in real time during navigation, replanning the route to avoid the obstacle and continuing to move. Additionally, JetAuto can complete exploration mapping, save the map and drive back to the starting point autonomously. It can also scan the front moving object, enabling it to track the target. Moreover, it can guard the surroundings and ring the alarm when detecting intruder.

The depth camera supports 3D mapping in two ways, pure RTAB vision and fusion of vision and Lidar, allowing JetAuto Pro to navigate and avoid obstacles in 3D map, as well as relocate globally. It also supports ORB SLAM, an open source SLAM framework for monocular, binocular and RGB D cameras, which is able to compute the camera trajectory in real time and reconstruct 3D surroundings. Furthermore, it can get depth map, color image and point cloud of the camera.

Based on MediaPipe framework, JetAuto Pro can carry out human body recognition, fingertip detection, face detection, 3D detection and more. It also utilizes YOLO network algorithm and deep learning model library to recognize the objects, and KCF filtering algorithm to track the selected target. Additionally, it can recognize and track the designated color, and can recognize multiple April Tags and their coordinates at the same time. Moreover, after you select the patterns on the APP, the patterns can be overlaid on the April Tag.

JetAuto Pro also supports multi vehicle navigation, path planning and smart obstacle avoidance. It can maintain the formation, including horizontal line, vertical line and triangle, during moving, and a group of JetAuto Pro can be controlled by only one wireless handle to perform actions uniformly and simultaneously. Furthermore, it employs ROS framework and supports Gazebo simulation, which brings a fresh approach for you to control JetAuto Pro and verify the algorithm in simulated environment, reducing experimental requirements and improving efficiency. Additionally, it is equipped with a 6 microphone array, which is adept at far field sound source localization, voice recognition and voice interaction, enabling voice control navigation, robotic arm and color recognition.