One of our primary goals is to compete in Mission 7 of the 2016 International Aerial Robotics Competition. IARC aims to advance the design and implementation of aerial robotics behavior. Mission 7 focuses in interactions between aerial robots and moving ground objects. For this competition, autonomous UAVs must be able to redirect ground vehicles (iRobots) and guide them to a specific location in the arena. Our drone must prevent any ground vehicles from crossing the boundaries of the field. In addition, navigation within this arena must be accomplished without the use of GPS or Simultaneous Localization and Mapping (SLAM) navigational systems. Successful missions must also avoid moving and stationary obstacles present within the arena.
If the robot successfully completes this mission, it may advance to a further competition in which two teams' aerial robots will compete head to head in directing the ground robots. This year's competition will be held at the Georgia Institute of Technology in Atlanta. The exact dates in August are yet to be determined. For more information please see the IARC site here
Penn State Unmanned Aerial Systems (UAS) is a student-run chapter of the Intercollegiate Association for Unmanned Vehicle Systems International (AUVSI) Student Unmanned Aerial Systems Competition. The competition requires students to design, integrate, report on, and demonstrate a UAS capable of autonomous flight and navigation, remote sensing via onboard payload sensors, and execution of a specific set of tasks. The competition is broken down into 3 graded components. A technical journal that describes the technical aspect of our UAV, a Flight Readiness Presentation and a Mission demonstration.
Our primary tasks include autonomous flight (takeoff, navigation, landing), target recognition and localization. Additionally, we must be able to perform automatic classification of targets, data transfer from the drone while in the air to a ground station, third-party system interoperability, on-target airdrop and implement a simulated collision avoidance system.