Aves
Spring 2015
Overview
Aves is a software and tool built for architects who use grasshopper and have the needs to implement a flocking system.
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The idea comes from my experience as an architecture student doing Mercedes Benz 4S shop design; I had the
idea of generating the architecture's layout(plan) based on a simulation of users' movement and behavior.
But no easy and satisfying method was find especially with no programing knowledge.
After joined IMA, I got the opportunity to audit IMA foundation class "Interaction Lab"(lead by IMA
professor Matthew Belanger) and also learned how to program.
As final project of this class, I implemented the flocking system in processing and make it available to
grasshopper and rhino through OSC protocol.
Aves, as a software, is developed based on the course work with better constructed code and a well designed
interface.
Documentation
The original processing sketch as Interaction Lab course project implemented a flocking
system in two dimension.
And it follows flocking rules:(more
details on flocking wiki.)
- Separation - avoid crowding neighbors(short range repulsion).
- Alignment - steer towards average heading of neighbors.
- Cohesion - steer towards average position of neighbors (long range attraction).
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According to flocking rules mentioned previously, this sketch also have 3 parameters to control the
separation, alignment and cohesion respectfully.
Since the idea is to create a tool which can simulate flocking behavior for architecture design purpose, the
first move is to make it in 3D.
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Another experiment has been made during the development is to keep the trail of each boid and create a 3 dimensional sculpture.
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Then OSC component is introduced and will send current boids' location to Grasshopper client with OSC protocol. In order to make it work as a tool and software, a graphic interface then been designed.
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After the main structure is done, I spent more time finalizing the interface design and implementation.
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In grasshopper(and plugin ghowl), a structured OSC message will be received and contains current boids' location data. Thus, a flocking system can be implemented with few programming work and ready for further development and creation.