Work completed in AML PENN under Robert Stuart-Smith
This work was published in the 2022 CAADRIA Post Carbon conference were it received the award for Best Presentation Runner Up.
The project was a generative approach to agent system tuning using computer vision to analyze visual character of the output. A user is allowed to select a set of views inside Rhino and the suite of software components reads the views in OpenCV. Methods for quantifying certain criteria were developed into algorithmic formulas including edge continuity, intricacy value from feature extraction, alongside geometric analysis like inclination and structural performance.
This work is an extension of the Machinic-InSites Studio taught by Patrick Danahy and Robert Stuart-Smith.
Work completed in AML PENN under Robert Stuart-Smith
This work was published in the CityX Italian Virtual Pavilion in the 2021 Venice Biennale.
The project was a generative approach to agent system tuning using structural force steering to optimize both the directional flows and depth of agent trails, creating 3D trusses that add topological intricacy and structural performance to the structure.
This work is an extension of the AML paper on topological formations and material simulation of columns for additive manufacturing by Natalia Revelo, Patrick Danahy and Robert Stuart-Smith.
Work completed in AML PENN under Robert Stuart-Smith
This work was published in the NYIT Emerging Computation Exhibition in 2020.
Agent-based behavioral systems are the base of this computational bridge proposal. The project developed for the NYIT Emerging Computation exhibition, focuses on custom Python coding for structural optimization, multi-agent behavioral systems, density optimization, custom meshing and node based structural position adjustments using evolutionary algorithms for micro tuning of truss-like strut members.
