LIST OF WORK

1/WINGS OF WONDER
2/REBIRTH OF BAMBOO
3/A CRACK IN SPACE AND TIME
4/PUPPET ART DRAMA THEATER
5/ROBOTANICA 
6/WATER SOURCE HEAT PUMP














Phone : +8613608807076
Email: paigeyan0209@163.com


RoBotanica
“Woven from seaweed and algorithms, architecture enters the cycle.”

Architectural exploration of bio-materials and intelligent assembly
October 2024 – September 2025
Location: Coastal and urban ecologies
Team work

Main contributions: Concept formulation /Bio-material research and prototyping /3D modeling with Rhino and Grasshopper /WFC algorithm training and implementation /Environmental optimization /algorithm integration （Machine Learning） /Technical drawings and video production /Physical model making

Key Words: Bio-materials / Intelligent Assembly / Circular Life Cycle


RoBotanica is situated along the UK coastline, transforming local materials such as seaweed and shells into composite building components. Integrated with AI and robotic assembly, it creates an architecture that grows, circulates, and adapts. The project addresses three urgent challenges: carbon emissions, the global housing crisis, and seaweed accumulation. Decentralized micro-factories process these resources into modular voxel units, enabling rapid, low-cost production. Robotic systems reconfigure these modules in real time, embedding architecture within a circular life cycle of material harvesting, fabrication, assembly, use, recycling, and regeneration—ultimately redefining architecture as a living system co-evolving with its environment.

RoBotanica envisions architecture as a “living system”: circulating materials, adaptive spaces, and regenerative structures. More than a technological experiment, it is a socio-ecological manifesto, proposing that architecture should grow in rhythm with nature and community resilience.





Algorithmic Generation & Modular Logic
The design develops a spatial system based on voxel modules. Through multi-agent collaboration and wave function collapse algorithms, spatial layouts emerge from environmental data and community needs rather than fixed intent. Robotic assembly enables real-time reconfiguration, allowing architecture to continuously evolve with changing conditions.
Material




Spatial Generation Algorithm / Multi-Agent LLMs


WAVE FUNCTION COLLAPSE







Robot Manufacturing and Training





Rendering