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.

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.

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

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

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

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

Robot avoids obstacles using CNN model and USB-camera

ENPM 661 Project 3 Phase 2: A rigid robot traverses through a configuration space to find the goal node using A star search algorithm, while it avoid the obstacles in the map

This project simulates a robot navigating through an environment using Pygame. The robot can move, avoid obstacles, and update its position and heading based on sensor inputs.

Autonomous wheeled robot implementing RRT path planning, real-time obstacle avoidance with IR sensors, PI-controlled motion, and IMU-based error correction. Features PyQt5 GUI and a separate TensorFlow object detection module. Complete with demos for obstacle detection and angle correction.

A ROS Robotics simulator of a mobile robot to discover and map a confined environment

A ROS2-based obstacle avoidance system using Bash scripting and ROS2 parameters, developed for The Construct’s Linux for Robotics course. The robot uses laser scan data to navigate around obstacles with simple logic.

Object following car with obstacle avoidance, implemented using Raspberry Pi and Arduino

Turtlebot obstacle avoidance

9기/로봇팀 Humanoid Robot Sports 2020. Online

This is the research I did during I participated in the UCSD International Summer Research Program

The line-following and obstacle avoidance robot is an intelligent autonomous vehicle capable of moving along a predefined path while detecting and avoiding obstacles in its way.