Robohub.org
 

How Industry 4.0 and Pokémon Go met halfway on the road to maximizing the IoT


by and
18 July 2016



share this:
Pokeball and Robotiq. Source: Robotiq

Pokeball and Robotiq. Source: Robotiq

You may be reloading this page trying to figure out if the title of this blog post got mixed up with something else. No, you read it correctly, I am going to outline similarities between Industry 4.0 and Pokémon Go.

First off, if you aren’t familiar with the term Industry 4.0, or if you weren’t born after 1990 and you don’t know what a Pokémon is, fear not: a crash course in both subjects is coming up.

Industry 4.0: the Fourth Industrial Revolution

Industry 4.0 is a term coined by the Germans in 2011. It is not a new technology, and it is not a new industry. It is a new approach to achieve results using technological advancements from the past 10 years.

One key aspect of this industrial revolution is the Internet of Things  (IoT)  and the multitude of cyber-physical devices that have the ability to collect data that can be used by manufacturing companies. Great strides have been made in the world of big data and analytics, allowing systems to sift through heaps of information in the blink of an eye and provide useful insight for manufacturing, marketing and decision making.

Behind the term Industry 4.0 comes the dream of the smart factory. This is a factory that uses robots to automate production, sensors to feed the optimization effort and even artificial intelligence to perform complex tasks when most of the workers are still on summer vacation. The factory will also use big data analytics to predict the next trend in product design or manufacturing, thus enabling a more targeted production or marketing strategy.

The Internet of Things provides a means for machines, robots, sensors and humans to communicate regardless of their geographical location. This information transparency also allows smart factories to create virtual copies of their factories, allowing to input sensor data to simulations of production runs. The advancements in the modern factory could add $14.2 trillion to the world economy over the next 15 years according to a report released by Accenture in January 2015.

Pokémon Go

Pokémon Go is a mobile location-based augmented reality game developed by Ninendo. Pokémon is a worldwide phenomenon that dates back to 1996. In the game, users are encouraged to venture outdoors (in the real world) to capture, battle and train virtual Pokémon who appear in the real world through your mobile device. The player’s avatar moves through a virtual map and runs into different Pokémon based on the environment . Near lakes and ponds, water-type Pokémon can be spotted, whereas in the downtown areas, the Pokémon resemble rats and pigeons. The game uses the mobile device’s GPS to position the user’s avatar on the virtual map and the device’s camera to provide a real world background on the device’s screen.

As the player walks around looking at the world through his or her smartphone,  Pokémons that pop-up on the screen and users can throw a Poké-Ball to catch it using the device’s touchscreen. Since the release of the mobile game one week ago, Pokémon Go has become the most played mobile game in history. Furthermore, the average daily use of the app on Android devices exceeds the use of Snapchat, Instagram, Twitter and Facebook. According to SimilarWeb, 5.92% of the android devices in the United States are engaging with the app on a daily basis. This popular launch has had a very positive impact on Nintendo’s stock value, that is, if you consider an value increase of $9 billion a decent days’ work.

The crossroads

Now that you are up to speed on the basics of the Industry 4.0 and the world of Pokémon, we can get down to the analytics.

First of all, it is obvious that both make the most of the data provided to them by their sensors. While Industry 4.0 uses data from robots to provide inputs to their cloud computing algorithms, Pokémon Go uses data provided by a mobile device’s camera, GPS and gyroscope to provide an augmented reality experience.

Second, both innovations are based on a machine-human interaction. Industry 4.0 allows collaborative robots to interact in a safe environment with humans, and Pokémon Go creates an augmented reality relationship between a human and a mobile device.

The key to success for these innovations is the learning curve required to get up and running. In the case of collaborative robots, the user can program a pick & place program using a UR robot in a few minutes. Upon downloading the Pokémon Go application, the user can be out in the real world catching Pokémon and battling in gyms in the time it takes to tie your shoes. This is essential for strong adoption rates. Compare Pokémon Go to modern video games that can take hours to learn. The same can be said about the time and effort required to learn how to program and integrate traditional industrial robots.

Finally, an important aspect of  both Industry 4.0 and Pokémon Go is its adaptability to the end user. In Pokémon Go, the user decides whether to play from the comfort of his neighborhood or to take marathon length walks in search of the rarest Pokémon. The same can be said for collaborative robots: the smart factory can use many different robots and an even wider variety of end-effectors, such as suction cups, grippers, magnetic gripper, etc. You can also decide to build the network, by implementing cloud computing, big data analytics, or to keep it simple and with a single robot to help free your workers hands from dangerous or monotonous tasks.

Oh comfort zone, you are a thing of the past

In both cases, people are getting out of their comfort zones. Gamers are, literally, getting mobile and playing outside the home; while production floor workers go from simply feeding parts into a machine to managing their new robot colleague.

Think about this: the next time you see a man standing in the middle of the sidewalk, he could be catching the rarest of Pokémon, but he could also be checking in on his factory’s robots – all from his smartphone.



tags: , ,


Tyler Berryman is a mechanical engineer working as an application engineer at Robotiq.
Tyler Berryman is a mechanical engineer working as an application engineer at Robotiq.

Robotiq Inc. Robotiq's mission is to free human hands from tedious tasks so companies and workers can focus where they truly create value.
Robotiq Inc. Robotiq's mission is to free human hands from tedious tasks so companies and workers can focus where they truly create value.


Subscribe to Robohub newsletter on substack



Related posts :

Robot Talk Episode 146 – Embodied AI on the ISS, with Jamie Palmer

  27 Feb 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Jamie Palmer from Icarus Robotics about building a robotic labour force to perform routine and risky tasks in orbit.

I developed an app that uses drone footage to track plastic litter on beaches

  26 Feb 2026
Plastic pollution is one of those problems everyone can see, yet few know how to tackle it effectively.

Translating music into light and motion with robots

  25 Feb 2026
Robots the size of a soccer ball create new visual art by trailing light that represents the “emotional essence” of music

Robot Talk Episode 145 – Robotics and automation in manufacturing, with Agata Suwala

  20 Feb 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Agata Suwala from the Manufacturing Technology Centre about leveraging robotics to make manufacturing systems more sustainable.

Reversible, detachable robotic hand redefines dexterity

  19 Feb 2026
A robotic hand developed at EPFL has dual-thumbed, reversible-palm design that can detach from its robotic ‘arm’ to reach and grasp multiple objects.

“Robot, make me a chair”

  17 Feb 2026
An AI-driven system lets users design and build simple, multicomponent objects by describing them with words.

Robot Talk Episode 144 – Robot trust in humans, with Samuele Vinanzi

  13 Feb 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Samuele Vinanzi from Sheffield Hallam University about how robots can tell whether to trust or distrust people.

How can robots acquire skills through interactions with the physical world? An interview with Jiaheng Hu

and   12 Feb 2026
Find out more about work published at the Conference on Robot Learning (CoRL).



Robohub is supported by:


Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence