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Tempo

Project details

Programme
Research Cluster RC3

Tempo investigates autonomous spatial embodiment through a robotically controlled hybrid tensegrity system. It aims to understand how human-body movement can influence the space quality. Tempo offers a performing space that responds to users' physical activity through a sensory actuated system.


Under the theoretical framework adopted from Greg Lynn's ‘Giant Robot’, the project capitalises the question of architectural emergence through a symbiosis between human and non-human behaviour. Tempo is considered a second-order cybernetic architecture with its autonomous ability. It is made self-aware through a sensory system that provides feedback on the spatial body's internal state and environmental state. The structure is a continuously evolving spatial system that self-adapts in relation to quantitative and qualitative elements of human and non-human behaviour, constrained within the material body's degrees of freedom.


Tempo’s structure is made by hybridising the tensile and tensegrity system. Through some study of material performances, the addition of fabric as a part of the structure triggers the equilibrium within the tensegrity structure but helps to stabilise the whole system simultaneously.


The overall research is investigated through the parallel development of robotic material prototypes, sensor actuated control systems, and a bespoke simulator that is trained using reinforcement learning.

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Tempo Actuated Hybrid Tensegrity System

Theoretical Research

Theoretical Research

Driven by Greg Lynn's theory, the project capitalises on the question of architectural emergence through the symbiosis between human and non-human behaviour.

State of the Art: Bat Wing

The physical anatomy, forces, and node and structural hierarchy of a bat’s wing is used as a reference of natural tensegrity systems.

RC3’s Tensegrity Research

This project continues research into tensegrity structures that has been carried out by RC3 students over the last three years. Different tensegrity systems are explored each year through physical prototypes and design investigations.

Topological Research

Topological Research

A hybridised topology is developed, based on replacing tensile cables with textile and using the woven tensegrity. The diverse node hierarchy allows consistent structural stability through aggregation.

System Properties

System Properties

This system is based on full textile integration, minimising control points, and spooling continuous cable. The system is scalable and has multiple orientations.

02

Architectural Simulation

Developed Spatial Simulation

Developed Spatial Simulation

Linear Spatial Simulation

Linear Spatial Simulation

Through initial spatial studies, this setup evaluated the implications of spooling various continuous cables.

Analysis of Spatial Assemblies

Analysis of Spatial Assemblies

Workflow, Daylight, and User Simulation

Workflow, Daylight, and User Simulation

Full and Partial Actuation

Full and Partial Actuation

03

Physical Prototype

Initial Prototype-Making Process

Initial Prototype-Making Process

Horizontal Grid Setup

A prototype of woven grid topology in horizontal setup.

Woven Grid Physical Prototype

A developed prototype which offers a large degree of freedom and flexibility.

Skeleton Structure

The skeleton structure provides the basis of the controlled structure.

Structural Flexibility

Structural Flexibility

A curved final prototype demonstrates the ability to change states.

04

Robotic Research

Changing State Behaviour

Physical properties are capitalised upon to achieve maximum and minimum changing state behaviours.

Vertical Triangular Prismatic System

Vertical Triangular Prismatic System

An initial prototype investigates changing state behaviours and physical constraints.

Vertical Woven Grid System

Vertical Woven Grid System

A developed prototype is investigated to offer a greater degree of freedom and flexibility.

Manual Control Interaction

Manual Control Interaction

The control environment is designed to dictate the changing state which is defined through a length ratio. Feedback values regarding motors’ rotation status and length state are collected to be evaluated.

Automated Control Interaction

Automated Control Interaction

A gesture recognition system is applied to improve the autonomous ability of the robotic controls, allowing the system to self-perform.

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