Concept & Speculation

Tesseract Project Overview

Welcome to the world of Tesseract!

Stories in Tesseract

Enjoy adaptive customised life and autonomous smart community in Tesseract.

Context and Concept

At the stage of pandemic normalisation, people are forced to limit themselves to a tiny scope of life. Have you ever been tired of your room and missed the big desk in the office? Tesseract can help you.

System Composition and Data Flow

The artificial sensing system and interaction platform collect the environment and user information, transmitting it to the console to guide the real-time reconfiguration of the material system.

Material System Research

Static Component Prototype

In the material system, the voxelised static components provide the minimum resolution, making it an ultimate discrete system with maximum variability.

Material and Furniture Typology

Components of different materials and forms make up a library to meet various scenarios. The replaceable panels can also be customised with traditional materials to blend into the local built environment.

Annulata Robot Prototype

The annulata robot has an efficient sliding motion mode, which does not require additional operating space, and in most cases only needs to overcome rolling friction.

Combination and Movement Pattern

L Mode is the most efficient combination pattern, It has many variations in the coordinate system.

Physical Prototype

Raspberry Pi and U2D2 aim to collect and process data. Python and C# are used to create a set of codes for controlling the movement of the motor so that the physical prototype can get a digital twin in unity.

Space Generation

Algorithm Logic

The space generation algorithm can compute specific solutions in real-time, maximising space utilisation. It has both bottom-up local intelligence and top-down global constraints.

Space Schema

The space schema is the quantification of the space occupation behaviour, mainly consists of three parameters: volume, proportion, and form.

Negotiation Schema

The negotiation schema reflects the features of the agent's interaction with the external environment and other agents.

Global Constraints

The base map represents the environmental influence on the agents. The masking map is the global constraint of the planning scope by the structural support.

Algorithm Operation Flow Experiment

An experiment in base station No.226 shows how the space generation algorithm works in different situations and occupied rates.

Construction and Interaction

Construction Sequence

The construction sequence shows how the material system realises the algorithm space. The two kinds of components continue to lay tracks for each other, sliding relatively to adapt to real-time changes.

Robotic Autonomy Training

Reinforcement learning is used in the construction algorithm to make the robot autonomous.

Robotic Reconfiguration Platform

The robot can reconfigure the static components in 3D based on interactive instructions. Users can ask the robot to build small furniture or open doors and windows.

Mobile Platform

The mobile platform system directly connects with users and undertakes the functions of information collection, storage, analysis and recommendation.

Web Game