Micro-aerial vehicles are becoming very popular. They could be used for disaster scenarios such as search-and-rescue or for covert operations. The biggest challenge is developing algorithms that allow swarms of such MAVs to work together to perform the task at hand.
This project is to detect indoor features using a low-power vision sensor and a micro-aerial vehicle. The student do research in sensor image processing as well as developing intelligence on the MAV to detect such features.
Disciplines: Computer science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering
Student Skill-Set Needed: Independent thinking, 10-15 hrs a week, programming, prior robotics experience a plus
Compensation: Academic Credit, Salary / Stipend, Volunteer, Work Study
Available: Fall, Spring, Summer
For further information on this opportunity, or to apply, contact:
Faculty Member: Karthik Dantu
Title: Assistant Professor
Department: Computer Science And Engineering
Office: 331 Davis Hall