People, planets, robots

Just back from watching David Attenborough: A life on our planet.

If you haven’t, watch it. It’s on Netflix.

The movie makes a case on Biodiversity and highlights how biodiversity is connected in straightforward ways with our own health and prosperity. Remember that all of #Covid19 is itself only a part in an ongoing severe biodiversity crisis.

Planet earth as seen from orbit. This is one is stunning. Picture credits: By NASA/Bill Anders – http://www.hq.nasa.gov/office/pao/History/alsj/a410/AS8-14-2383HR.jpg, Public Domain, https://commons.wikimedia.org/w/index.php?curid=306267

The view of earth shown in the picture above was not generally known to people before the late 1960s, except to a few imaginative visionaries. It is not about saving the planet though. It is about saving our own asses. Right here, right now. Anything else is procrastination, neglect, or worse. Anyway, lets not get stalled.

You ask, what does this have to do with Jetpack Cognition Lab? The answer is, just about everything. Read on to find out.

In whichever way exactly the sustainability turn is realized, there is going to be autonomous mobile robots in it.

Frame capture from “A life on our planet” at 1:13:13, Netflix, Fair use
Frame capture from “A life on our planet” at 1:13:40, Netflix, Fair use

These are likely scenarios but far from complete. Drones need support on the ground and up in the tree. They also need to go beneath the foliage because this is where it happens. That is all quite complicated stuff. The autonomous mobility of the robots we currently have is still a far cry from anything practically usable, and this includes affordable.

Mainstream promises have not realized anywhere despite trillions of sunk budgets, private and public. Remote death operations is as good as it gets.

The developments we are observing are not fast enough by some orders of magnitude. As more people need to be able to work on all that, the approach clearly needs to be massively diversified.

How is this done? You are right, with self-learning robots of course, with education and inspiration. This is a massive challenge and we need to take steps that might appear weird from the outside.

Where are you in this? We are very curious to learn and let us know anytime. Out here with the mobile Jetpack Cognition Lab and we need you support in every possible way.

Next, flatcat crowdfunding campaign.

flatcat is the next step towards creating robots that are built for learning all the way up. Does that scare you? good, this is how you and everyone else works, on the inside that is. Time to get to grips with yourself.

Researchers find new KPI

Researchers find previously unknown Key Performance Indicator (KPI). This is the story of their discovery.

Observing a bit and reading some public domain texts, We define a new Key Performance Indicator (#kpi) the Jetpack Cognition Indicator (JCI, jizzy)

jizzy := headway / energy

headway: as in the urban / relationship definition. since the planet is spherical, finite surface and so on, cannot easily quit the relationship and need to build on headway.

energy: all the funds you are using to make the headway claim plus all other resources claimed in the meantime.

For transparency we do not withhold that we propose in our own favor.

Switching topic, Watch closely for our upcoming campaign and level Meet flatcat

Our mission

Our mission is to do everything we can to support current and upcoming generations with reusable tools and modular wisdom to grow and tend their futures at peace and prosperity.

Of course, we are beginning to learn a little in the behavioral sciences regarding how little we know about children and the educational processes. We had assumed the child to be an empty brain receptacle into which we could inject our methodically-gained wisdom until that child, too, became educated. In the light of modern behavioral science experiments that was not a good working assumption.

Operating manual for spaceship earth, R. Buckminster Fuller, 1969

Taking the A out of AI

Taking the A out of AI means to think more about natural intelligence and what might be natural to a robot. Yes, Embodiment, comes screaming from the backrows. So what is embodiment and why is it important?

As is well known the symbolic approach to AI is interesting but incomplete with regard to real world intelligence. Traversing a doorstep or a flipped carpet edge, picking up a slippery piece of food or crumbs from the floor. Unsolved, all of it. So don’t tell me about autonomous cars and healthcare robots.

At Jetpack we are working to realize the transfer from research insights of our discipline, developmental robotics, into society with consumer products. Our robots. What needs to be addressed first for sustainable robotics in the 21st century is the sensorimotor gap that is present in all AI-branded products out there. It may look small and insignificant but do not let yourself be fooled. This is the layer that connects the silicon brain with outside world and contrary to the common belief, this layer is not trivial to navigate, sensation and perception is extremely noise, incomplete and contradictory. But it can be done. This is called embodied intelligence and the adaptive sensorimotor layer provides a natural grounding for any embodied intelligence.

Jetpack – pet-like robots that react to touch. Because people are at the center of our approach, our mindset, and our world view. Cheers.

Sustainability

This is a huge topic and rightly so. At Jetpack we are experienced environmentalists and care very deeply about providing a livable future that doesn’t consume itself before it gets there. We are passionate about contributing creatively and analytically. This is one of the reasons why Jetpack exists at all, to raise the stakes on our commitment.

To set some strategy pillars, we focus on open design, spread of knowledge, and the sensorimotor lessons on human psychology and social affairs. Sustainable health includes mental health and requires simple and clear ethics for an enjoyable social experience for everyone. Interestingly, much inspiration for this can be read from the study of self-learning robots. We need to rewind and get some simple things right first, only increasing the entertainment factor.

Energy is as huge a topic for robots as it is for everyone else. By the end of the day, the calories must be there, on average. We design our products with a rigoros accounting on energy and resource use, down to the single controller cycle. [tbc]