Robohub.org
 

Robert Morris on “What does it take to get from imagination to market?”


by
12 March 2014



share this:

This is a really important question, and one that our community should focus on more. That said, the answer is not truly profound or particularly obscure. It takes three things: doing something people really want, doing something profitable, and a lot of hard work.

The robotics industry is much better at making things that are abstractly awesome rather than making things that people want, and the most important tool for overcoming this problem is hypothesis testing. We need to have hypotheses about what our customers value. Then we need to test these hypotheses by trying to deliver that value.

Invariably, we find that some of our hypotheses about what our clients want are wrong because human behavior is much, much harder to engineer than robotic behavior. My own start-up, TerrAvion, initially thought that our data collection system (robot) would be used to feed analytic algorithms. But it took farmers to show us that they could use the imagery to manage their operations, creating far more value than we ever dreamed possible with the analytic approach.

The second thing is that, to take something into the market sustainably, it must be profitable on a risk-adjusted basis. Sitting here just outside Silicon Valley – an admittedly privileged position – it seems that ideas that can show they stand a reasonable chance of making a lot of money are capable of getting the funding, people, and support they need. (If you don’t find this true where you are, you should move here!) This is regardless of the underlying technology, or even if the business doesn’t have an underlying technology. To lend support, most people need some reasonable expectation that their support (whether in money, time, or expertise) will get repaid. If your idea isn’t profitable, it won’t be around long enough to repay that support.

Finally, it takes a crushing amount of work. I don’t know what to say about this. There are methods, tricks, short-cuts, and best practices, which is fine, but even if you do everything well it is a lot of work. Taking any novel idea into reality requires that you pour out all your time and attention to get a million things done. There are many ways motivate this, but the work still needs doing. It certainly helps if you can at least remove money as a negative motivation, because we all have to eat.

Above all, we are trying to do something that is of tremendous value. If what we are doing is indeed of tremendous value, our customers are happy to pay a price that allows us to make money. And making money allows us to capture the attention of good people; good people allow us to make things that people really value; and so the cycle repeats … but it always starts with doing something of great value to others. So when we let our imaginations run wild, we should always try and think about what would be of value to others.

Read more answers →



tags: ,


Robert Morris is founder and CEO of the aerial imaging start-up TerrAvion. He is also the author of the blog robocosmist.com
Robert Morris is founder and CEO of the aerial imaging start-up TerrAvion. He is also the author of the blog robocosmist.com





Related posts :



A flexible lens controlled by light-activated artificial muscles promises to let soft machines see

  30 Oct 2025
Researchers have designed an adaptive lens made of soft, light-responsive, tissue-like materials.

Social media round-up from #IROS2025

  27 Oct 2025
Take a look at what participants got up to at the IEEE/RSJ International Conference on Intelligent Robots and Systems.

Using generative AI to diversify virtual training grounds for robots

  24 Oct 2025
New tool from MIT CSAIL creates realistic virtual kitchens and living rooms where simulated robots can interact with models of real-world objects, scaling up training data for robot foundation models.

Robot Talk Episode 130 – Robots learning from humans, with Chad Jenkins

  24 Oct 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Chad Jenkins from University of Michigan about how robots can learn from people and assist us in our daily lives.

Robot Talk at the Smart City Robotics Competition

  22 Oct 2025
In a special bonus episode of the podcast, Claire chatted to competitors, exhibitors, and attendees at the Smart City Robotics Competition in Milton Keynes.

Robot Talk Episode 129 – Automating museum experiments, with Yuen Ting Chan

  17 Oct 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Yuen Ting Chan from Natural History Museum about using robots to automate molecular biology experiments.

What’s coming up at #IROS2025?

  15 Oct 2025
Find out what the International Conference on Intelligent Robots and Systems has in store.

From sea to space, this robot is on a roll

  13 Oct 2025
Graduate students in the aptly named "RAD Lab" are working to improve RoboBall, the robot in an airbag.



 

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