Flocking algorithm using Sphero
Flocking Animation and Modelling Environment (FAME) is a library that provides simulation and control of flocks of agents. The flocking behaviour and mechanisms have been demonstrated in software simulations such as Unity or Android applications. This project displays the application of FAME in hard...
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sg-ntu-dr.10356-630512023-03-03T20:43:32Z Flocking algorithm using Sphero Tan, Chian Fern Ong Yew Soon School of Computer Engineering DRNTU::Engineering::Computer science and engineering Flocking Animation and Modelling Environment (FAME) is a library that provides simulation and control of flocks of agents. The flocking behaviour and mechanisms have been demonstrated in software simulations such as Unity or Android applications. This project displays the application of FAME in hardware instead. The Sphero is a Bluetooth-controlled robot developed by Orbotix. A Node.js program is developed to control multiple Spheros in a flock. They are made to move in accordance to coordinates prescribed by Crowd Simulation API, a Unity plugin which directly uses the FAME library to determine flocking behaviour. Bachelor of Engineering (Computer Science) 2015-05-05T07:33:12Z 2015-05-05T07:33:12Z 2015 2015 Final Year Project (FYP) http://hdl.handle.net/10356/63051 en Nanyang Technological University 34 p. application/pdf |
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DRNTU::Engineering::Computer science and engineering Tan, Chian Fern Flocking algorithm using Sphero |
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Flocking Animation and Modelling Environment (FAME) is a library that provides simulation and control of flocks of agents. The flocking behaviour and mechanisms have been demonstrated in software simulations such as Unity or Android applications. This project displays the application of FAME in hardware instead. The Sphero is a Bluetooth-controlled robot developed by Orbotix. A Node.js program is developed to control multiple Spheros in a flock. They are made to move in accordance to coordinates prescribed by Crowd Simulation API, a Unity plugin which directly uses the FAME library to determine flocking behaviour. |
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Ong Yew Soon |
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Ong Yew Soon Tan, Chian Fern |
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Final Year Project |
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Tan, Chian Fern |
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Tan, Chian Fern |
title |
Flocking algorithm using Sphero |
title_short |
Flocking algorithm using Sphero |
title_full |
Flocking algorithm using Sphero |
title_fullStr |
Flocking algorithm using Sphero |
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Flocking algorithm using Sphero |
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flocking algorithm using sphero |
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2015 |
url |
http://hdl.handle.net/10356/63051 |
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1759854069605728256 |