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Can humans and robots co-exist by developing a symbiotic relationship?
Symbot expands on the values of living architecture by focusing on creating adaptable spaces guided by bottom up systems that enable self-organisation, assembly and reconfiguration. This multi-agent embodied robotic approach comprises four interdependent systems: unit nesting system, modular assembly robots, furniture robots and wheel robots. The multi-scalar system allows the user to adapt and reconfigure the units to create a variety of transformable multi-functional spaces and also transform their spaces at the interior level. This reconfiguration is driven by a bespoke computational system that generates aggregations of unit clusters based on their ability to connect with neighbouring units in their expanded state.
The project aims to expand on the values of living architecture by focusing on creating adaptable spaces, guided by a bottom up system that enables them to transform, self organise, self assess and reconfigure.
This symbiotic habitat encompasses four robotic systems: the modular assembly robot, nesting units, furniture robots and wheel robots. These diverse multi-scalar agents collaborate, organise and reconfigure the environment according to the user.
Symbot houses an upcoming artist community and has set its first prototype in Hackney, London, near upcoming institutions of education and art.
Designed with the intention of achieving a more sustainable and faster system of transportation, transformation and adaptation of spaces, these three telescopic units can nest and expand based on the user's requirement and spatial criteria.
The Assembly Robot is used to transport, assemble, reorganise and dismantle the nested units and architecture through its intricately coded functions and robotic parts.
In the first prototype, experiments conducted deduced challenges in the stability and rotation due to its bulky design. Based on this, further prototypes were designed.
Robotic prototypes were developed to understand the possibilities and limitations of the robotic systems. Experiments were conducted with modules to understand the relationship between the agent and unit.
The simulation aims to train a single agent assembly robot to determine the shortest path between the start point and target unit, and then carry the unit to its final target location.
The algorithm reorganises the units based on the typology's facial constraints and units nesting possibilities.
The modular furniture robots move and assemble static furniture blocks within the nested and parent units. These robots move using the sliding mechanism on a set of tracks that are also an integral structural part of the unit.
Three spatial typologies form: living studio, co-working, workshop, exhibition and performance spaces. The nesting units collaborate, interlock, combine and adapt to form these spaces.