The team of experts, together with the author, grows fat cells, transformed into neurons, on an electrode array (MEA). The neurons trigger the robot to move in space with their electrical signals, much like a brain on a chip. Through a sensitive and complex sensing and programming system, the signal from the neurons is converted from analogue to digital. It is then amplified and used by AI and the author to find the most appropriate shape of the bot, according to its task of specific movement. 

To determine the shape of the Biobot, the AI program uses the output signals from the neurons and compares them with possible leg movements from a library of different arthropods. From these juxtapositions, the AI deduces the appropriate amount of joints and limbs and suggests the most optimal skeletal constitutions for movement. The results are reflected in the shapes of the unpredictable zoomorphic bodies, offered by the AI and chosen by the artist who follows his interest in handicapped movement. The algorithmic search for the shape of the bot, based on the stimulated biological activity (of iterations of signals from the brain organelle), is shown to be an unregulated evolutionary process. The possibilities of a hybrid bio-cybernetic aliveness with its own aesthetics, intelligence, and movement open up before us.