Our Projects

Consensun Model

This project focuses on consensus and obstacle avoidance in swarm robotics using various models, including the voter model, HK model, and majority rule model. The objective is to simulate and analyze how different decision-making strategies can be applied to swarms to achieve efficient navigation and obstacle avoidance.

Snake AI

SNAKE_AI is an AI-driven implementation of the classic Snake game. The project utilizes the Deep Q-Network (DQN) algorithm, a reinforcement learning technique, to train an intelligent agent capable of mastering the game. The agent learns to navigate the game grid, collect food, grow in length, and avoid collisions with itself and obstacles, demonstrating strategic gameplay and achieving high scores.

Project Gamma

Exploring the frontiers of quantum computing.