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.

ROS workspace that creates a trajectory for a UAV to follow passing through a set of given waypoints and avoiding a set of given cylindrical obstacles.

[IROS 2024] MPPI (Model Predictive Path-Integral) Controller for a Swerve Drive Robot

Obstacle avoidance robot simulation in ROS-Gazebo

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.

A PAL Mobile Base for your advanced navigation needs

Using Python and OpenCV to implement a basic obstacle avoidance and navigation on the rover.

My goal is to come up with a simple and a basic model of an obstacle avoiding bot with the best possible algorithm to detect and avoid an obstacle using only One Ultrasonic Sensor module (HCSR04) and 2 wheels. The project is still into development to find even better an algorithm to achieve the same task.

Obstacle-Avoidance-in-Autonomous-vechicles

Neuro-Evolution (genetic algorithm + NN) for collision avoidance

This is a small AGV based project that I did in webots platform

Portable Robot Simulator to make a holonomic robot move inside a maze without hitting obstacles

A bot which can move without colliding with any walls with the help of HC-SR04 ultrasonic sensors.

Arduino sonar sensor code

HCSR04 Obstacle avoidance robot

Playing with servo motors

Robot avoids obstacles using CNN model and USB-camera

A four-wheel car with 3 modes: Obstacle Avoiding, Bluetooth Controlling and Infrared Controlling

SLAM