Drone navigation project at Harvey Mudd college (Summer 2013 - Spring 1014).
This work demonstrates some of the computational capabilities of the inexpensive AR.Drone2 quadcopter. Fundamentally a platform that navigates in 3D, the drone offers a clean interface to 2D sensor data through its video stream. By using image-matching to bridge that “interdimensional” gap, this work demonstrates that the drone offers an accessible, compelling platform for research and independent projects at any institution. In the process, we demonstrate that accessible physical platforms, i.e., the drone, the Kinect, and their scaffolding software, ROS, now offer capabilities with much wider curricular and computational applications.
Christopher Eriksen: https://www.cs.hmc.edu/twiki/bin/view/Robotics/ChrisESummer2013
Kristina Ming: https://www.cs.hmc.edu/twiki/bin/view/Robotics/KristinaMSummer2013
"A Computational Focus for Robotics Education," Dodds, Z., Ming, K., Eriksen, C., Hsiung, S., Huang, X., Davidson, Z. AAAI Spring Symposium on Knowledge Representation and Reasoning in Robotics, March 2014.
"Accessible Aerial Autonomy," Ming, K., Eriksen, C., Dodds, Z. Consortium for Computing Sciences in Colleges - Southwestern Region Conference, March 2014.