Robohub.org
 

The robotics of place


by
24 December 2006



share this:

The following is only slightly reworked from three posts I wrote, one after the other, in 1999. These posts together formed the starting point of a topic with the surprising title “The Robotics of Place” (originally in The WELL’s Whole Earth conference).

 

Don’t let the title scare you off. There’s more here than might at first be apparent.

 

There’s much to suggest that the original condition of human beings was nomadic – maybe over a fairly limited range, but seldom entirely sedentary.

 

First farming, then cities, with the investment of time and effort they embody, made moving about with the seasons less appealing. But in modern times we seem to have replaced both nomadism and attachment to place with a sort of serial squatting, staying a few months in one place and a few years in another, but generally without the deep connections that come from spending one’s whole life in the same place and among the same people.

 

But we aren’t likely to ween ourselves from dependence on stationary infrastructure anytime soon, not even with the recently booming popularity of mobile devices, and in that realization is the germ of the thought I hope to develop here: people want the benefits of infrastructure, without being bogged down by it.

 

And, increasingly so as time goes on, infrastructure means not just brick and mortar, but something active.

 

Asimov described a planet sparsely inhabited by people who were heavily dependent on technology, who each had substantial land holdings which were cared for by robots.

 

All very scifi, but the connection between machine and place rings true.

 

Most of us cringe at the idea of a life devoted to looking after a plot of ground, yet the ground needs looking after, particularly in and near cities. How strange is it really to propose that machines will inherit this task, probably sooner rather than later?

 

Here are some examples of familiar technological intrusions on the landscape: roads, bridges, dams, irrigation ditches, water and sewer lines, storm drains, tilled fields, fences, hedgerows, terraces, power lines, rail beds, mines, harvested forests (and those replanted with less than their original diversity), not to mention buildings.

 

We’ve never much hesitated to impose our notions on the world around us, but until recently we did so personally, typically using the biggest time-saving levers we could find. Only we (and a few domesticated allies, like sheepdogs) could provide the element of attentive activity, for lack of which one built environment after another has reverted back to a wild state, generally an impoverished one. We’re good at dreaming up grand designs, and we like having things neat and tidy, but we tire of maintenance, and are more than a little stingy about paying for it.

 

In suggesting that we embrace a robotic approach to land [management], I’m also implying an eventual end to capricious land use, with grand new schemes equating to changes in programming that would result in gradual modifications of the landscape, rather than sudden, gaping scars that take decades to heal.

 

Reposted from Cultibotics.



tags: ,


John Payne





Related posts :



Robot Talk Episode 134 – Robotics as a hobby, with Kevin McAleer

  21 Nov 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Kevin McAleer from kevsrobots about how to get started building robots at home.

ACM SIGAI Autonomous Agents Award 2026 open for nominations

  19 Nov 2025
Nominations are solicited for the 2026 ACM SIGAI Autonomous Agents Research Award.

Robot Talk Episode 133 – Creating sociable robot collaborators, with Heather Knight

  14 Nov 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Heather Knight from Oregon State University about applying methods from the performing arts to robotics.

CoRL2025 – RobustDexGrasp: dexterous robot hand grasping of nearly any object

  11 Nov 2025
A new reinforcement learning framework enables dexterous robot hands to grasp diverse objects with human-like robustness and adaptability—using only a single camera.

Robot Talk Episode 132 – Collaborating with industrial robots, with Anthony Jules

  07 Nov 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Anthony Jules from Robust.AI about their autonomous warehouse robots that work alongside humans.

Teaching robots to map large environments

  05 Nov 2025
A new approach could help a search-and-rescue robot navigate an unpredictable environment by rapidly generating an accurate map of its surroundings.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


 












©2025.05 - Association for the Understanding of Artificial Intelligence