Build robotics applications with AWS DeepRacer device software and hardware: https://www.amazon.com/dp/B07JMHRKQG

The DeepRacer Inference ROS package creates the inference_node that is responsible for running the inference on the machine learning model that is selected using the Intel OpenVino Inference Engine APIs.

The DeepRacer I2C ROS package creates the battery_node that is responsible for providing the vehicle battery level information.

The DeepRacer Model Optimizer ROS package creates the model_optimizer_node that is responsible for running the Intel OpenVino Model Optimizer script on the DeepRacer reinforcement learning models to obtain the optimized artifacts.

Simulation artifacts, core components and configuration files to integrate AWS DeepRacer device with ROS Navigation stack.

The DeepRacer Systems ROS package creates the software_update_node, model_loader_node, otg_control_node, network_monitor_node which are responsible for managing system level functionalities required in the DeepRacer application.

Provides a jailbreak experience of AWS DeepRacer, giving us more control over the training/simulation process and RL algorithm tuning

The DeepRacer Sensor Fusion ROS package creates the sensor_fusion_node that is responsible for collecting the messages from all the sensors (Camera+LiDAR) and publish the combined sensor message.

The DeepRacer Camera ROS package creates the camera_node that is responsible for reading the raw data from the one/two cameras connected to the USB slots at the front of the AWS DeepRacer device and publishing them as CameraMsg.