Robohub.org
 

The application of ‘elegance’ to machine behavior


by
30 January 2010



share this:

We all have some idea of what elegance means, whether our notion of it is tied up with silky evening dresses, polished wood and brass, chandeliers and stained glass windows, exotic carpets, and expensive sports cars, or with youthful bodies that are tanned and fit, knowing the local language well enough to use it sparingly with assurance, being appropriately dressed for the weather, good posture, fluid movement, a varied diet of moderate proportions, giving every task as much time as it requires, and so on.

 

Applying the notion of elegance to machine behavior may resonate for some and not for others. What could it possibly mean, elegant machine behavior, wouldn’t that be a contradiction in terms?

 

In this piece on another blog, I suggest that Apple should get into robotics, partly because to fail to do so would be to leave the largest looming growth market to others, and partly because I believe the company has something to contribute, something relating to elegance. I think Apple would set a high standard for machine behavior, and then exceed it, providing a tangible example of first-order elegance.

 

I say “first-order elegance” to suggest that there is also a “second-order” or “meta-elegance” that looks beyond present behavior to its ultimate effects. For example, formality may appear elegant, but if children are subjected to it all the time they may fail to develop emotional intelligence, an inelegant result.

 

As applied here, it is second-order or meta-elegance that is more important. It matters far less whether machines that tend land appear deft in their actions than whether the result of those actions appears more garden or desert-like. That’s not to say that first-order elegance is unimportant. Efficient movement, of the entire machine and of its parts, is an important aspect of cost-effectiveness, but efficiently producing a undesirable result gains nothing.

 

I believe that second-order elegance is achievable in this context, that machines can be programmed to understand complex living systems and nurture them, while raising food and fiber for market in their midst. If I didn’t believe that I would never have bothered trying to explain this vision of a greener future founded on robotics.

 

Reposted from Cultibotics.



tags: ,


John Payne

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

Developing active and flexible microrobots

  13 May 2026
This class of robots opens up possibilities for biomedical applications.

How to teach the same skill to different robots

  11 May 2026
A new framework to teach a skill to robots with different mechanical designs, allowing them to carry out the same task without rewriting code for each.

Robot Talk Episode 155 – Making aerial robots smarter, with Melissa Greeff

  08 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Melissa Greeff from Queen's University about autonomous navigation and learning for drones.

New understanding of insect flight points way to stable flapping-wing robots

  07 May 2026
The way bugs and birds flap their wings may look effortless, but the dynamics that keep them aloft are dizzyingly complex and difficult to quantify.

Robotically assembled building blocks could make construction more efficient and sustainable

  05 May 2026
Research suggests constructing a simple building from interlocking subunits should be mechanically feasible and have a much smaller carbon footprint.

Robot Talk Episode 154 – Visual navigation in insects and robots, with Andrew Philippides

  01 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Andrew Philippides from the University of Sussex about what we can learn from ants and bees to improve robot navigation.

Ultralightweight sonar plus AI lets tiny drones navigate like bats

  29 Apr 2026
Researchers develop ultrasound-based perception system inspired by bat echolocation.

Gradient-based planning for world models at longer horizons

  28 Apr 2026
What were the problems that motivated this project and what was the approach to address them?



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence