Robohub.org
 

What is the hype cycle for robotics?


by
07 March 2023



share this:

We’ve all seen or heard of the Hype Cycle. It’s a visual depiction of the lifecycle stages a technology goes through from the initial development to commercial maturity. It’s a useful way to track what technologies are compatible with your organization’s needs. There are five stages of the Hype Cycle, which take us through the initial excitement trigger, that leads to the peak of inflated expectations followed by disillusionment. It’s only as a product moves into more tangible market use, sometimes called ‘The Slope of Enlightenment’, that we start to reach full commercial viability.

Working with so many robotics startups, I see this stage as the transition into revenue generation in more than pilot use cases. This is the point where a startup no longer needs to nurture each customer deployment but can produce reference use cases and start to reliably scale. I think this is a useful model but that Gartner’s classifications don’t do robotics justice.

For example, this recent Gartner chart puts Smart Robots at the top of the hype cycle. Robotics is a very fast moving field at the moment. The majority of new robotics companies are less than 5-10 years old. From the perspective of the end user, it can be very difficult to know when a company is moving out of the hype cycle and into commercial maturity because there aren’t many deployments or much marketing at first, particularly compared to the media coverage of companies at the peak of the hype cycle.

So, here’s where I think robotics technologies really fit on the Gartner Hype Cycle:

Innovation trigger

  • Voice interfaces for practical applications of robots
  • Foundational models applied to robotics


Peak of inflated expectations

  • Large Language models – although likely to progress very quickly
  • Humanoids

Trough of disillusionment

  • Quadrupeds
  • Cobots
  • Full self-driving cars and trucks
  • Powered clothing/Exoskeletons


Slope of enlightenment

  • Teleoperation
  • Cloud fleet management
  • Drones for critical delivery to remote locations
  • Drones for civilian surveillance
  • Waste recycling
  • Warehouse robotics (pick and place)
  • Hospital logistics
  • Education robots
  • Food preparation
  • Rehabilitation
  • AMRs in other industries


Plateau of productivity

  • Robot vacuum cleaners (domestic and commercial)
  • Surgical Robots
  • Warehouse robotics (AMRs in particular)
  • Factory automation (robot arms)
  • 3d printing
  • ROS
  • Simulation

AI, in the form of Large Language Models ie. ChatGPT, GPT3 and Bard is at peak hype, as are humanoid robots, and perhaps the peak of that hype is the idea of RoboGPT, or using LLMs to interpret human commands to robots. Just in the last year, four or five new humanoid robot companies have come out of stealth from Figure, Teslabot, Aeolus, Giant AI, Agility, Halodi, and so far only Halodi has a commercial deployment doing internal security augmentation for ADT.

Cobots are still in the Trough of Disillusionment, in spite of Universal Robot selling 50,000+ arms. People buy robot arms from companies like Universal primarily for affordability, ease of setup, not requiring safety guarding hardware and capable of industrial precision. The full promise of collaborative robots has had trouble landing with end users. We don’t really deploy collaborative robots engaged in frequent hand-offs to humans. Perhaps we need more dual armed cobots with better human-robot interaction before we really explore the possibilities.

Interestingly the Trough of Disillusionment generates a lot of media coverage but it’s usually negative. Self-driving cars and trucks are definitely at the bottom of the trough. Whereas powered clothing or exoskeletons, or quadrupeds are a little harder to place.

AMRs, or Autonomous Mobile Robots, are a form of self-driving cargo that is much more successful than self-driving cars or trucks traveling on public roads. AMRs are primarily deployed in warehouses, hospitals, factories, farms, retail facilities, airports and even on the sidewalk. Behind every successful robot deployment there is probably a cloud fleet management provider or a teleoperation provider, or monitoring service.

Finally, the Plateau of Productivity is where the world’s most popular robots are. Peak popularity is the Roomba and other home robot vacuum cleaners. Before their acquisition by Amazon, iRobot had sold more than 40 million Roombas and captured 20% of the domestic vacuum cleaner market. Now commercial cleaning fleets are switching to autonomy as well.

And of course Productivity (not Hype) is also where the workhorse industrial robot arms live with ever increasing deployments worldwide. The International Federation of Robotics, IFR, reports that more than half a million new industrial robot arms were deployed in 2021, up 31% from 2020. This figure has been rising pretty steadily since I first started tracking robotics back in 2010.


What does your robotics hype cycle look like? What technology would you like me to add to this chart? Contact andra@svrobo.org




Andra Keay is the Managing Director of Silicon Valley Robotics, founder of Women in Robotics and is a mentor, investor and advisor to startups, accelerators and think tanks, with a strong interest in commercializing socially positive robotics and AI.
Andra Keay is the Managing Director of Silicon Valley Robotics, founder of Women in Robotics and is a mentor, investor and advisor to startups, accelerators and think tanks, with a strong interest in commercializing socially positive robotics and AI.





Related posts :



Robot Talk Episode 131 – Empowering game-changing robotics research, with Edith-Clare Hall

  31 Oct 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Edith-Clare Hall from the Advanced Research and Invention Agency about accelerating scientific and technological breakthroughs.

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.



 

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