The focus of this project is to create software modules for quadcopters to help them find and follow a path from a starting point to an ending point while avoiding obstacles and creating an environmental map using the sensor data. All the simulators and software being used are open source software. The project is divided into three parts. In the first part, the path planning algorithm and obstacle avoidance module of the quadcopter are implemented. The path from the starting point to the destination is determined, and the controller of the quadcopter is written so that the quadcopter will follow the path. In the second part, the model provided in the robot simulator is configured to respond to an external gamepad input. In the last part, the quadcopter is mounted with sensors and navigated. Using the data from the sensors, a 2D map is created.
|Commitee:||Ary, James, Tsang, Chit-Sang|
|School:||California State University, Long Beach|
|School Location:||United States -- California|
|Source:||MAI 56/01M(E), Masters Abstracts International|
|Subjects:||Engineering, Computer science|
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