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.
Nullspace MPC: A novel multi-objective control framework for explicitly handling task priorities, implemented in ROS Noetic for a Swerve Drive Robot.
Deep Reinforcement Learning for mobile robot navigation in IR-SIM simulation. Using DRL (SAC, TD3, PPO, DDPG) neural networks, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.
[IROS 2024] MPPI (Model Predictive Path-Integral) Controller for a Swerve Drive Robot
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.
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.
Obstacle avoidance robot simulation in ROS-Gazebo
A PAL Mobile Base for your advanced navigation needs
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
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.
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.
A ROS-based simulation for user-specific human-following robots. 基于 ROS 的特定用户跟随机器人仿真系统
Arduino based(Arduino Uno ATmega328p) Line Following and Obstacle Avoiding Robot
Robot avoids obstacles using CNN model and USB-camera
SLAM
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