Implementation of the CNN from End to End Learning for Self-Driving Cars on a Nvidia Jetson TX1 using Tensorflow and ROS
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Updated
Mar 28, 2017 - Python
Implementation of the CNN from End to End Learning for Self-Driving Cars on a Nvidia Jetson TX1 using Tensorflow and ROS
A personal research and development (R&D) lab that facilitates the sharing of knowledge.
ROS driver for the ODrive motor drive
Robotics Guide
ROS Package for Simultaneous Exploration and Localization for Multi-Robot Applications
Simulation ROS package for an autonomous delivery drone
A Python-based Robot Operating System (ROS)
A ROS software stack for running Liquid Galaxy applications
ROS package for multi-object tracking using Norfair.
Camera-LIDAR Fusion Framework for detection and tracking.
Firos helps to connect ROS-based robots to the Fiware Ecosystem...
Hardware Robot Operating System (H-ROS) command line interface
A ROS2 Demo for LiDAR Semantic Segmentation
Full ROS environment combining different nodes for object detection and tracking using Norfair.
Software package and ROS wrapper of Delsys wireless EMG interface
Controlling Vehicles with ROS1_bridge and ROS2 on Ubuntu 20.04 - AirSim Simulation Environment
This project implements the Rapidly-exploring Random Tree (RRT) algorithm for pathfinding in autonomous driving. The algorithm efficiently computes a collision-free path from a given starting point to a specified goal point
Tutorial ROS mulai dari dasar sampai lanjutan
Lab assignments and a final project for course DD2410 "Introduction to Robotics" at KTH University.
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