Quadrotor research platform with obstacle avoidance

• Main Authors: Cobankiat, Kevin N., Pua, Timothy A., Que, Rembrandt V., Wee Ebol, Willis Jordan Y., Chua, Alvin Y.
• Format: text
• Published: Animo Repository 2016
• Subjects: Quadrotor helicopters; Drone aircraft; Mechanical Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/13119
• Institution: De La Salle University

This study focuses on the development of a quadrotor research platform with effective obstacle avoidance system using Bug Algorithm. The quadrotor system consist of a DJI frame with a Crius All-in-One Pro as a flight controller with an Arduino Mega2560 to process the data from the sensor. It is also equipped with four ultrasonic range finders to provide the sensing for collision avoidance. Bug Algorithm was chosen due to its simplicity and effectiveness in implementation of obstacle avoidance applications. The results shows that the quadrotor system is able to perform basic flight maneuvers and that the collision avoidance system was able to protect the quadrotor from hitting objects in its environment.