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Autonomous navigation

A blog by Elena Eroshina in Blogs true ITmans

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About this blog

This section features posts on different points of autonomous navigation, like SLAM and obstacle avoidance. Most of the content is written by AI, so your testing and comments are more than welcome. Let’s turn this into a practical, hands-on resource! From time to time, I’ll also share relevant articles from other experts and sources.

Entries in this blog

Autonomous navigation

Complete Tutorial: Deep RL for Autonomous Obstacle Avoidance (Lidar + ROS 2 + Isaac Sim)

This comprehensive guide walks you through building a drone obstacle avoidance system from scratch, combining Reinforcement Learning theory, ROS 2 infrastructure, and Isaac Sim physics simulation. By the end, you'll have a trained "brain" that can be deployed to real hardware like NVIDIA Jetson. 1. Technology Stack OS: Ubuntu 22.04 LTS (recommended for stability) Communication: ROS 2 Humble (LTS) Simulator: NVIDIA Isaac Sim 2023.1.1 or later (Omniverse) RL Libraries: Stable Baselines3 (PPO),

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