The autonomous UAV Team is another of the three teams within PVIT Robotics. In Autonomous UAV, our ultimate goal is to design, build, and program a fixed wing aircraft that will be capable of navigating an airborne course without any human interaction. The aircraft is controlled by a small on-board computer that must be able to deal with issues like changes in wind gust speed, maintaining a constant altitude during turns, what to do if it is headed towards a building, etc. To aid in dealing with these tasks and issues, the computer will have at its disposal a variety of sensors including GPS, Camera, Altitude/airspeed sensors, 3-axis gyros, and a compass. The team strides to attend the annual SparkFun Autonomous Vehicle Competition which is to be held in mid-April in Boulder, Colorado. There the aircraft must complete a lap around the SparkFun warehouse building. The team to do it in the least amount of time will win the competition. If no team completes a full lap, both time and distance will be taken into account to choose a winner.
This is the first year that PVIT has had an Autonomous UAV team, so unlike the other teams, we have no mistakes from which to learn. Look forward to another update outlining our progress.

Our sensor setup last year was sorely lacking. We had one sonar sensor mounted in the front, a few vex touch sensors, and a non-functioning camera. We had a random algorithm for obstacle avoidance that sometimes led us into corners and walls. This year we plan to have a more effective sensor array, utilizing five sonars in total. We will have two sonars mounted on the front, two on either side, and one on the rear of the robot. When turning left or right, we will check the readings on the respective side sensor, and if is reporting an object in its range, we won’t turn into the obstacle. We will also do the same type of check when backing up the robot as well. Hopefully these checks will allow us to solve the problems (and walls) we ran into last year.



