Automated Design Intelligence

Automated Design Intelligence

Automated Design Intelligence

Building on an architectural background, this project represents an early exploration into computational and robotic systems as active agents in physical space. This project laid the groundwork for my continued interest in physical–digital systems and intelligent behavior within built environments.

Building on an architectural background, this project represents an early exploration into computational and robotic systems as active agents in physical space. This project laid the groundwork for my continued interest in physical–digital systems and intelligent behavior within built environments.

INSTITUTION

INSTITUTION

Southern California Institute Of Architecture

Southern California Institute Of Architecture

TEAM

TEAM

Shilpa Sushil, Emre Turan, Tarun Hari, Ivy Chan, Yichao Li

Shilpa Sushil, Emre Turan, Tarun Hari, Ivy Chan, Yichao Li

LOCATION

LOCATION

Los Angeles

Los Angeles

EXPERTISE

EXPERTISE

Robotics & Spatial

Robotics & Spatial

Project Context

Project Context

Project Context

The exterior of a building is traditionally designed around standardized fabrication constraints. This project explores an alternative approach to exterior panel design by integrating natural biological processes with robotic fabrication. By shifting the role of the façade from a static enclosure to a generative system, the work investigates how robotics can enable new material behaviors and design outcomes.

A 3D dataset from desert terrain

A 3D dataset from desert terrain

The Mojave Desert’s vast scale and minimal features make it difficult to document using traditional site analysis methods. Instead of relying on maps or photographs, this project uses aerial scanning to directly sample the landscape and generate a three-dimensional dataset.

A 3D dataset from desert terrain

The Mojave Desert’s vast scale and minimal features make it difficult to document using traditional site analysis methods. Instead of relying on maps or photographs, this project uses aerial scanning to directly sample the landscape and generate a three-dimensional dataset.

Point cloud simulation : Stigmergy

Point cloud simulation : Stigmergy

Points were simulated as agent-like entities to explore where clustering and accumulation would emerge under Stigmergic (Stabilized stigmergy refers to a rule-based interaction pattern where local rules create stable spatial arrangements without central control) rules, providing insight into how patterns might form.

Point cloud simulation : Stigmergy

Points were simulated as agent-like entities to explore where clustering and accumulation would emerge under Stigmergic (Stabilized stigmergy refers to a rule-based interaction pattern where local rules create stable spatial arrangements without central control) rules, providing insight into how patterns might form.

Form Generation And Coloration

Form Generation And Coloration

The form was generated through robotic extrusion of salt at predefined points, with subsequent hardening and pigmentation driven by bacterial growth (Serratia marcescens).

Form Generation And Coloration process

The form was generated through robotic extrusion of salt at predefined points, with subsequent hardening and pigmentation driven by bacterial growth (Serratia marcescens).

Robotics panel generation

Robotics panel generation

Robotic Facade Fabrication

Robotic extrusion generating salt deposits used as substrate for bacterial pigmentation.

Robotic extrusion generates salt deposits used as substrate for bacterial pigmentation.

The result

The resulting pattern is best read as a spatial dataset rather than a fixed artifact, revealing emergent clustering driven by local interactions. Regions of higher density emerged where local interactions reinforced one another, revealing spatial patterns that were not explicitly defined in advance.

Rather than representing a final object, the outcome functions as a spatial reading, translating environmental data and agent-based behavior into a materialized form.


This work laid groundwork for thinking about landscape as dynamic data, which informs my current interest in physical-digital environments and autonomous spatial systems.

This project functions as a spatial reading, translating environmental data and agent-based behavior into a materialized form.

The Result

This project functions as a spatial reading, translating environmental data and agent-based behavior into a materialized form.

The Result

Interested in working together? Let’s collaborate!

Interested in working together? Let’s collaborate!

Interested in working together? Let’s collaborate!

© Tarun hari 2026