Code Issues Pull requests 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. ...
Code Issues Pull requests 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. visualizationuavmotion-planningpath-planningrosapmpixhawkautopilothacktoberfestardupilotwaypointsrvizobstacle-avoidanceapm-planner...
To control your robot's motor using an Xbox controller, you first need to install the joystick module in ROS2 Humble. This module will allow ROS2 to interpret the joystick's inputs and convert them into commands for motor control. Installation Follow these detailed instructions to install the ...
We validate our approach in a simulated multi-robot coordination scenario, where three mobile robots have to reach pre-defined targets while avoiding each other and obstacles in the scene. We also show the generality of our frameworks as applied to different real robotic scenarios. In detail, we...
Code a "naive" obstacle avoiding robot in ROS YOUTUBE VIDEO Description This project was made as a practice for basic ROS concepts such as ros-topics, subscribing, publishing, and simulating robots in Gazebo. The goal was to make a robot: Read data from the 360° LiDAR scanner. Process ...
Pair the robot with your phone via Bluetooth. Use the app to manually control the robot, toggle obstacle avoidance, line following, or activate custom features. Usage Once powered on, the robot will: Navigate autonomously by avoiding obstacles and following a line. Be controllable via the ELEEGO...
SihabSahariar / Computer-Vision-Based-Rover-Navigation-Avoiding-Obstacle Star 7 Code Issues Pull requests Using Python and OpenCV to implement a basic obstacle avoidance and navigation on the rover. computer-vision obstacle-avoidance obstacle-detection obstacle-avoidance-robot opencv-object-detection...
The goal of the game is for player to traverse from one corner of the platform to another, avoiding as many obstacles as possible. There are static obstacles, dynamic obstacles, and unseen obstacles that will appear and collide with the player as time passes. This game is made in Unity. ...
It has achieved results that surpass human-level players in the Atari 2600 game; the algorithm is also suitable for the problem of avoiding obstacles. DQN has two models with the same structure; one is a Q-network and the other is a target Q-network. The parameters of the target Q-...
The trajectory planner in the figure adopts a real-time sampling-based trajectory-planning method, which calculates the position of the next point at each subsequent time step until reaching the goal point while avoiding obstacles. The trajectory smoother, employing the method proposed in this paper...