P

path planning

This is an additional implementation for a robot framework for the SLAM using camera, pose estimation and image segmentation of human. This is used with path planning techniques that allow human and robot to cohabitate in shared environment.

This project addresses a real-world challenge involving the control of a robot tasked with trajectory tracking and navigating an assembly line. The objective is to efficiently connect various components along the line while adhering to Linear Temporal Logic (LTL) constraints. The ultimate goal is to seamlessly integrate elements of the assembly line by ensuring the robot's trajectory adheres to specified conditions and constraints.

This repo contains the code and documentation of the project realized for the Artificial Vision course, developed during my Master's Degree course in Computer Engineering.

A simulation of a golf game and an AI bot that can handle mazes and obstacles. Both white box and black box bots AI are used; white box using path planning algorithms and back box using genetic algorithms approach. Implemented in Java using Gradle.

Taxiway path planning via Heuristical algorithm (AStar A*) based on conflict detection