Path_planning_GA_Behaviour_Based

Formation control and obstacle avoidance are two required features for swarm robots to reach an intended goal in an environment with obstacles. Navigation of swarm robots is done using both behavior-based approach and Evolutionary Algorithm (EA) based model.

Ware_house_robots_task_allocation

Multi-robot task allocation for simultaneous multi-order pick-up and drop-off using Genetic Algorithm (GA) and Ant Colony Optimization (ACO).

PID_Hector_Quadrotor

The Aim of the project is to control hector quadrotor to go through the waypoints by using PID(Proportional Integral and Differential) controllers using python code in mid-fidelity physics simulation software, GAZEBO. Communication between these is achieved through ROS (Robot Operating System).

Hybrid_Levy_PSO_Search-Masters-Thesis-

Coordinated Multi-Robot Movement for Highly-Constrained Exploration Operations Using a Hybrid Algorithm Combining Levy Flight and Particle Swarm Optimization

Dynamic-Vehicle-Routing-Problem

Implementation of optimization process of dynamic car sharing, specially designed for NightRide (University of Cincinnati drop home service). A new method for car assignment has been developed which uses Genetic Algorithm to produce best solution.