Summer Research Program to Motivate Undergraduates for Careers in Unmanned Aerial Systems

The use of unmanned aerial systems (UASs) has been increasing rapidly for widespread applications including for precision agriculture, search and rescue, infrastructure monitoring, and powerline inspection. Because of their cheaper cost, UASs can also be used as the entry point for many advanced concepts in aerospace engineering. However, academia and industry have not seen proportionate increase in the number of students pursuing studies for advanced degrees or entering the workforce in the area of UAS technologies. This paper talks about the summer research program at Cal Poly Pomona that is designed to motivate students to advanced degrees and/or career path in UAS technologies. Students from Community Colleges and High Schools are also involved in the program. The students have been supported by funding from NSF, NASA, Department of Education, and industry. The Program exposes the students to many aspects of research including literature review, designing and conducting flight test experiments, data collection, data processing, algorithm development, and implementation. The students get opportunities to learn other disciplines including Computer Science and Electrical & Electronics Engineering that are important for the successful research in UAS technologies. The students involved in the program have shown increased interest in advanced degrees in the area of UAS technologies including for PhD degrees. Many of the graduates have joined the companies involved in the unmanned aerial systems. More than 50% of the Community College Students who were involved in the Program transferred to Cal Poly Pomona and continued their interest in unmanned aerial systems.

[1]  Marc,et al.  Design and Flight Test Results for a Hemispherical LADAR Developed to Support Unmanned Rotorcraft Urban Operations Research , 2008 .

[2]  Zekeriya Aliyazicioglu,et al.  Collaboration between Multiple Unmanned Vehicles for Increased Mission Efficiency , 2016 .

[3]  Paul J Navarro,et al.  Flight Testing, Data Collection, and System Identification of a Multicopter UAV , 2017 .

[4]  Subodh Bhandari,et al.  Search and Rescue using Unmanned Aerial Vehicles , 2015 .

[5]  Keiji Saneyoshi.  Stereo Vision System on Automobile for Collision Avoidance , 2011, MVA.

[6]  Michael Jenkins.  AC 2007-617: UNDERGRADUATE RESEARCH AS A MOTIVATION FOR ATTENDING GRADUATE SCHOOL , 2007 .

[7]  Subodh Bhandari,et al.  High-Order Dynamics Models of a Small UAV Helicopter Using Analytical and Parameter Identification Techniques , 2015 .

[8]  Aireal Tran,et al.  Multicopters for Search and Rescue in Indoor Environments , 2016 .

[9]  Subodh Bhandari,et al.  3-D Mapping using LIDAR and Autonomous Unmanned Aerial Vehicle , 2017 .

[10]  Jürgen Börstler,et al.  The students conference—a tool for the teaching of research, writing, and presentation skills , 1998, ITiCSE '98.

[11]  Nick Anderson,et al.  Flight-Testing of a UAV Aircraft for Autonomous Operation using Piccolo II Autopilot , 2008 .

[12]  Subodh Bhandari,et al.  Nonlinear Adaptive Control of a Fixed-Wing UAV using Multilayer Perceptrons , 2017 .

[13]  Ryan Schaefer,et al.  A Standards-Based Approach to Sense-and-Avoid Technology , 2004 .

[14]  Ke Ding,et al.  Application of machine learning for the evaluation of turfgrass plots using aerial images , 2016, SPIE Commercial + Scientific Sensing and Imaging.

[15]  Subodh Bhandari,et al.  UAV Collision Detection and Avoidance using ADS-B Sensor and Custom ADS-B Like Solution , 2017 .

[16]  Paul Gruba,et al.  Using a 'Conference Model' to Teach Communication Skills in a Communication Across the Curriculum Program , 2000 .

[17]  Youdan Kim,et al.  Obstacle Detection and Collision Avoidance of Quadrotor UAV Using Depth Map of Stereo Vision , 2013 .

[18]  Subodh Bhandari,et al.  Obstacle Avoidance System for a Quadrotor UAV , 2012, Infotech@Aerospace.