Popular GitHub Repositories for Obstacle Avoidance

Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.

Trajectory Planner in Multi-Agent and Dynamic Environments

A goal-driven autonomous exploration through deep reinforcement learning (ICRA 2022) system that combines reactive and planned robot navigation in unknown environments

Decentralized Multiagent Trajectory Planner Robust to Communication Delay

Deep Reinforcement Learning for Fixed-Wing Flight Control with Deep Q-Network

Deep Reinforcement Learning for mobile robot navigation in ROS2 Gazebo simulator. Using DRL (SAC, TD3) neural networks, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.

PUMA: Fully Decentralized Uncertainty-aware Multiagent Trajectory Planner with Real-time Image Segmentation-based Frame Alignment

[Tensorflow] High Correlation Data Removing Method for Deep Reinforcement Learning in Obstacle Avoidance and Path Planning

Path planning policy learned by behavior cloning, from RRT to neural network

Implementing obstacle avoidance and path planning for the Pioneer 3-DX robot using Python, PyTorch, and the deep reinforcement learning algorithm REINFORCE in the Webots Simulator.

Deep Reinforcement Learning Based Mobile Robot Navigation Using ROS2 and Gazebo

Obstacle avoiding self driving car made with Unity ML Agents.

Obstacle-Avoidance-in-Autonomous-vechicles

Training an autonomous driving robot in Gazebo Simulator by soft actor critic method

The Trash Collecting Robot is an autonomous system utilizing computer vision for bottle detection and lidar algorithms for obstacle avoidance, aimed at addressing plastic pollution by efficiently collecting trash while navigating its environment.

vision based dynamic obstacle avoidance for robotic manipulator

Bubbles machine learning their way through the world.

This is an implementation of an algorithm that enables a robot to autonomously traverse without colliding into any major obstacles in its way.

A quadrone autonomous search system, with real-time obstacle avoidance.

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