Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

Visual odometry based on Intel® RealSense™ devices

Several controllers to move Ridgeback mobile-robot and UR5 robotic-arm.

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

This is a 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, using a path planning algorithm.

Detection and Tracking of Moving Objects (DATMO) using sensor_msgs/Lidar.

LIDAR based Obstacle Avoidance with Reinforcement Learning

An environment for an obstacle avoidance task

An auto-dive and obstacle avoidance car demo

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

Image based obstacle avoidance using optical flow

ROS package for local obstacle avoidance using stereo RGB cameras on the Jackal

This repository implements a simple YOLO algorithm for detection of birds and other aerial obstacles for drones to avoid collision during flight.

Final project for EECE-5698 Robot sensing and navgation.

The underwater robot obstacle avoidance project with the method of deep reinforcement learning

Intelligent Navigation System of mobile robot with ten Ultrasonic sensors, user interface via C# Windows Form Application, instructions and videos on how to assemble mobile robotic platform

Dataset and Evaluation Scripts for Obstacle Detection via Semantic Segmentation in a Marine Environment

Multi-Purpose MPC for Reference Path Tracking, Time-Optimal Driving and Obstacle Avoidance

Autonomous simulated vehicle exploration of unkown environment.

ESP8266 12E Robot Car Project

A research diary of a drone system that monitors the coastal pollution.

autonomous flight and obstacles avoidance

Simulation of Kinematic Control: Obstacles Avoidance of Redundant Manipulator

Obstacle avoidance game in C++ with NCurses

ROS package to simulate obstacle avoidance behavior on a turtlebot

BRAVE is a genetic algorithm engine and a simulator for Braitenberg vehicles written in Python

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.

A test simulation of all projects and models from time to time.

Obstacle Avoidance Bot training on V-rep using Q learning Algorithm. Neural Networks were used as function approximator for state space