Robohub.org
 

Foxconn shopping for robot manufacturer to keep pace with brisk Pepper sales


by
05 January 2016



share this:
pepper

In an article about the pace of sales for the SoftBank Pepper robot, the China Post reported that Taiwan-based Hon Hai Precision (AKA Foxconn) has sent a team of 30 to survey the US market for future acquisitions of robot production firms.

On December 27th in Japan, another 1,000 of the $1,600 Pepper robots were sold online in just one minute  — this makes 7,000 sales in the past 7 months. The next sale date is January 28th. Foxconn is currently producing 10 Pepper robots per hour at factories in Yantai (Shandong Province, China) and is working to improve efficiency and raise production to 15 per hour.

Pepper-apps
The Pepper app store for add-on applications offers a range of more than 200 free and paid apps. These apps range from quiz games, English picture books, hairstyle and clothing chat games, timers, dance instruction, lie detection, brain games, exercise trainers, animal sounds, food apps like beef bowl and noodle shop locators, piano playing, baseball talking, English for kids and many more.

Pepper, created initially by France-based Aldebaran to act as a “social companion for humans,” is advertised by SoftBank as not only being able to read human emotions, but also to respond to emotional cues such as laughing or frowning.

Softbank recently upgraded Pepper to be able to memorize and store data on human responses by using cloud-based artificial intelligence applications developed by the company’s subsidiary, Cocoro SB.

The newsworthy part of The China Post story was Hon Hai Precision’s 30-person US delegation to explore purchasing companies that can help Foxconn increase its production of this very complex robot. Once sales expand from Japan to China (and then the rest of the world), production will need to keep pace; hence the concern and exploratory shopping trip. The joint venture between Alibaba, Foxconn and SoftBank has provided hundreds of millions of dollars for production ramp-up costs, which are likely to include money for capital expenditures such as robots and other automation devices, as well as for acquisitions of companies that make those devices.


If you liked this article, you may also be interested in:

See all the latest robotics news on Robohub, or sign up for our weekly newsletter.



tags: , , , , , ,


Frank Tobe is the owner and publisher of The Robot Report, and is also a panel member for Robohub's Robotics by Invitation series.
Frank Tobe is the owner and publisher of The Robot Report, and is also a panel member for Robohub's Robotics by Invitation series.





Related posts :



Radboud chemists are working with companies and robots on the transition from oil-based to bio-based materials

  10 Dec 2025
The search for new materials can be accelerated by using robots and AI models.

Robot Talk Episode 136 – Making driverless vehicles smarter, with Shimon Whiteson

  05 Dec 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Shimon Whiteson from Waymo about machine learning for autonomous vehicles.

Why companies don’t share AV crash data – and how they could

  01 Dec 2025
Researchers have created a roadmap outlining the barriers and opportunities to encourage AV companies to share the data to make AVs safer.

Robot Talk Episode 135 – Robot anatomy and design, with Chapa Sirithunge

  28 Nov 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Chapa Sirithunge from University of Cambridge about what robots can teach us about human anatomy, and vice versa.

Learning robust controllers that work across many partially observable environments

  27 Nov 2025
Exploring designing controllers that perform reliably even when the environment may not be precisely known.

Human-robot interaction design retreat

  25 Nov 2025
Find out more about an event exploring design for human-robot interaction.



 

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