Agent-Based Design for Grasshopper
+ A new paradigm for 3D modeling utilizing agents.
+ Assign forces and behaviors to systems of agents to create interactions.
+ Utilize any data to drive the system.
+ Easily debug your system by displaying individual force vectors.
+ High performance, parallel algorithms, spatial data-structures.
+ Write your own custom forces, no coding required.
+ Open source framework for others to build custom behaviors.
+ Boid forces: Cohese, Separate, Align, & View.
+ Contain Agents within Brep, Box, Surface, and Polysurface environments.
+ Forces: Path Follow, Attract, Contain, Surface Flow, Seek, Arrive, Avoid Obstacle, Avoid Unaligned Collision, Sense Image, Sense Point, & more to come.
+ Behaviors: Bounce Contain, Kill Contain, Initial Velocity, Eat, Set Velocity, & more to come.
Future work:
+ Behaviors to drive simulations of people and vehicles.
+ Temporal inputs can change the actions of the system over time.
Download the add-on on Food4Rhino
If you find any bugs or have any feature requests please post them on the GitHub Issue Tracker which will allow everyone to see which bugs are open or closed and allows me to update you when it is fixed.
This is an open source project so if you need custom defined forces or behaviors for your project reach out to me about becoming a committer.
View the project on GitHub
To get started check out this video tutorial on how to set up a basic particle scene. Follow along with this example script.
Learn how to set up a flocking simulation with agents in this video tutorial and example file.
To learn more about the polymorphic type system in the latest release of Quelea see this video explanation.
For questions on how to use Quelea, please create a new Discussion.
niluka lakmali
hi...
I have same issue. Quelea crossing obstacle. How to manage?
Did you manage?
thank you
Niluka
May 28, 2018
Alex Fischer
The obstacle avoidance force is just a force, not a behavior, so it can only encourage the agent away from the obstacle, but if the agent has another force that is telling it to go into the obstacle then it can get overridden if it is weighted improperly. What you can do is when the obstacle avoidance force is applied, then don't apply the other forces. This way, the obstacle avoidance force is the only one being applied when the agent is approaching the obstacle.
Jul 24, 2018
Hannah Stevens
I know this university
Jul 13, 2020