Robohub.org
 

Of thresholds and the forces that drive change


by
29 June 2009



share this:

“But why would you want to turn farming over to machines?”

 

Ahem! Farming has been conducted primarily by machines for going on a hundred years, at least in the United States. I want to substitute intelligent machines that proceed carefully and work continuously for big, dumb machines that are designed to get the job over with as quickly as possible, and at the same time move farmers out of their roles as machine operators and into the roles of technician and manager.

 

The threshold that still looms large but is shrinking with every passing week, primarily due to advancements in military robotics, is autonomous operation, making it possible for one person to manage many machines simultaneously, instead of being symbiotically fused to one for the entire time it is in operation.

 

At some point in the not too distant future, it will become practical to turn tractors loose under robotic control, but by the time that happens that same threshold will already have been crossed by less powerful, less dangerous machines. Moreover, once tractors arrive at autonomous operation there’s not much to drive further development. Sure, you can push efficiency higher and accident rates lower, but it’s still the same old thing.

 

With the sort of detail-oriented systems I’ve been attempting to imagine and describe, that threshold of autonomous operation is just the beginning, the spark that lights the rocket. Knowledge that would be of no use to autonomous tractors – because they’d still just be pulling implements around a field – could improve the performance of machines using a horticultural approach and improve the productivity of land they tend. Moreover, they would be able to discern much of that knowledge for themselves, through experience (statistics applied to crop measurements) and sharing information with each other.

 

For every increment in sensory capability, processing power, mechanical versatility, and software sophistication there would be a potential payoff, in machine performance, productivity, and/or the quality of the overall result.

 

That’s what a growth market looks like.

 

Reposted from Cultibotics.



tags:


John Payne

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

Robot Talk Episode 157 – Generating new robot designs, with Josie Hughes

  22 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Josie Hughes from École Polytechnique Fédérale de Lausanne about using AI to develop new designs for robotic manipulators.

Robotics Café brings together autonomous robot practitioners

  20 May 2026
Recently launched series for researchers, students and industry practitioners aims to provide a platform for students to present their work.

Table tennis robot defeats some of world’s best players – why this has major implications for robotics

  18 May 2026
Ace, from Sony AI, is the first robot to beat elite human players in competitive physical sport.

Robot Talk Episode 156 – Rugged robots for dangerous missions, with Gavin Kenneally

  15 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Gavin Kenneally from Ghost Robotics about robot dogs for defence, security, and public safety.

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.



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence