One of the strategies we've been exploring at FoAM Kernow is using our hardware projects to research different ways of building things. For example our approach of design assuming collapse (& brexit) has resulted in much higher awareness of our supply chains, and through this - potential dependance on manufacturing in places with less environmental and health regulation.
Autism is on the inside. It can be invisible. It can be present in another person without you noticing it. Nevertheless it is there, manifesting itself as a different understanding of one’s surroundings and perception of the world.
On the Penelope project, our plan was to develop technologies that could be useful in constructing a swarm of robots which could be livecoded by using the pattern matrix - a general purpose tangible programming system based on the Raspberry Pi. In order to make communication possible remotely, radio is the most obvious approach to get up and running quickly (other options that are intriguing are infra-red and audible sound).
Penelopean robotics are about rebuilding technology in the woven cosmos. You can read more about the theory in part 1, but roughly our aims are to:
Embody Penelopean technological practice - they should be easily undone (taken apart) so they can be understandable, self documenting and repairable.
They are not automated looms, but must eventually be capable of weaving in some form, maybe by interacting with ancient Greek weaving technology.
Environmental machine learning as artistic research practice: how does such a mix of ecology, technology and art make sense in today’s world?
an article by Michelle Geraerts, who took part in the Random Forests programme as part of her graduation in anthropology at University of Utrecht.
Reply to FoAM Kernow from Sam Gyimah MP, Minister of State for Universities, Science, Research and Innovation.
Our letter to Sarah Newton MP for Truro and Falmouth was forwarded to Sam Gyimah MP, the Minister of State for Universities, Science, Research and Innovation.
- Page 1 of 1.