UCD School of Computer Science and Informatics Final Year Project Profiles
UCD Career Development Centre www.ucd.ie/careers
Final Year Project ProFiles
www.csi.ucd.ie
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Programme of Events: 11:00
Final Year Project Showcase to Employers
12:00
Keynote speaker
12:30
Student Awards Ceremony • • • • • • •
First Derivatives Best Project Presentation Award Fidelity Best Project Poster Award CME Group Best Future Prospect Award SAP Excellence Award IBM Open Source Software Award Accenture Best Programmer Award (Third Year Undergraduate) Google Excellence Award (MSc Advanced Software Engineering)
13:00 Lunch 14:00
Speed Networking with Employers (4th year and graduate students, sign-up required) Final Year Project Showcase open to all School of Computer Science and Informatics students
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15:00
Tea/coffee networking with employers (open to all students)
Final Year Project Profiles
Raushan Baisalbayeva
Aaron Czerski
[email protected] [email protected] Skype-based Robotic Video Presence System
Inseparable Drone Helicopter
The goal of this project is the development of a Skype-based robotic video presence system to be tested with the NAO humanoid robot.
The goal of this project is the development of a vision-based behaviour navigation system for the autonomous operations of a Parrot AR.Drone.
Robotic video presence systems help bringing people together in the care of those living at home. Robots allow carers and relatives to enter a home from a computer via the Internet and conduct a natural, secure visit just as if they were physically there. They can move freely about the home simply by moving their mouse, and interact with the residents via videoconferencing. And those in the home don’t have to do anything except sit back, relax and enjoy the visit.
The Parrot AR.Drone is a radio controlled flying quadrotor helicopter built by the French company Parrot and equipped with a camera and ultrasound telemeter providing altitude measurement for automatic altitude stabilization and assisted vertical speed control. The project will develop Android software and integrate it with a number of established C/C++ software frameworks, such as OpenCV, and provide video processing and object recognition functions. The video feed captured by the drone’s camera will be used in order to detect the presence of a person (e.g. by using available face and shape recognition techniques) and estimate his/her location in relation to the drone. A behaviour control system will be implemented to let the drone follow a single person walking in an open, indoor space.
The project will develop a flexible videoconferencing and user interface to control the remote operations of the NAO humanoid robot by using the Skype API. In addition, the NAO programming and simulation framework will be used to control the robot’s behaviour system in order to re-use (activate/deactivate/configure) preexisting functionalities.
Sean Carton
[email protected] Build a Data Glove for Motion Capture Augmented and virtual reality environments have lived under the umbrella of science-fiction for decades, but with projects like Google Glasses surfacing, things are (hopefully) starting to change. However, the headsets being demonstrated are only output devices, and to create a fluid experience comparable to tablets and smartphones, we need an input device which ‘just works’ in 3
