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IFIA Magazine - March 2022 |

Milad Semyari

Master of architecture

Iran University of Science and Technology

A self-aware modular architectural system with the ability to navigate and adapt to
the environment
The introduction of artificial intelligence into various scientific fields has led to the development
and dramatic changes in these fields. Combining this concept with architecture has brought
with it innovative and creative ideas. Architects are creating new concepts in this field by enter-
ing new fields and using them to achieve their goals. One of the great goals of architects in the
21st century is to create responsive and intelligent environments that act and react like living
things. Spatial diversity and the ability to change and create various urban designs on the one
hand and reduce the cost of construction, on the other hand, is the concern of builders today.
With the arrival of humans in new places, there is a need for new construction methods in these
places.
Milad Semyari is a master’s student of architecture at Iran University of Science and Technolo-
gy and an INV member of IFIA who has invented a modular system that consists of two parts:
physical and software. The physical part is made up of homogeneous parts that are divided into
two types, active and passive. These parts are movable and can move in the environment. The
foot pattern is used in modeling the movement of these parts. This means that, like the foot, the
two fixed parts and the knee between these parts are used for movement, the two post-pass
parts provide the ability to move through the active part. Each of these active parts is designed
through arms and uses its own geometry to make this movement possible. The energy of each
of these parts is supplied by a lithium battery and each of these parts is made of degradable
plastic. In the software part of this system, environmental data is collected through machine
vision and sent to the CPU. Initially, the environmental design algorithm entered the CPU, and
when faced with different environmental conditions, the system can use a variety of algorithms.
In addition to existing algorithms, the CPU begins to generate new algorithms according to en-
vironmental conditions through machine learning and genetic algorithms.
This invention has won a gold medal at the International Invention Innovation Competition in
Canada (ICAN), the silver medals at the Silicon Valley International Invention Festival (SVIIF),
and the international exhibition of Inventions of Geneva. In this way, it is possible to achieve a
living architecture and built environment that can learn and make appropriate decisions based
on different circumstances, and finally, achieve a structure that behaves very similar to humans.
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