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Preferred Networks unveils a personal robot system at CEATEC Japan 2018, exhibiting fully-autonomous tidying-up robots

Oct. 15, 2018, Tokyo Japan – Preferred Networks, Inc. (PFN, Headquarters: Chiyoda-ku, Tokyo, President and CEO: Toru Nishikawa) will unveil a fully-autonomous tidying-up robot system, which is currently under development, at the CEATEC Japan 2018 exhibition held in Makuhari Messe near Tokyo. A technical demonstration of the system will be given at the event.

PFN is developing technology to create a society where robots can actively support our daily living activities. Unlike in controlled and regulated environments like factories, robots in the home need to respond flexibly to dynamic and complex situations and communicate naturally with humans.

At its exhibition booth (A060), PFN will demonstrate the new robot system using HSRs (Human Support Robots) developed by Toyota Motor Corporation and showcase their ability to keep a cluttered room neat and tidy. This has been difficult to achieve using conventional technologies based on object recognition and robot control. The deep learning-based robots can recognize various scattered household items like clothes, toys, and stationery, grasp and place them in their designated locations. In the demonstration, PFN will also show that these cleaning robots can be controlled intuitively through verbal and gestural instructions.

For technical details, please visit the website.


The fully-autonomous tidying-up robot system has been awarded the Semi-Grand Prix in the Industry/Market category at CEATEC Award 2018, which recognizes innovative technologies, products, and services from among a large number of exhibits at CEATEC JAPAN 2018.


  • PFN exhibition booth

・Dates/time:10:00–17:00 Oct. 16–19, 2018

・Location:Booth A060, Total Solutions Area, International Exhibition Hall 2

・Exhibit:Technical demonstration of personal robots “fully-autonomous, tidying-up robot system” (first public exhibition)


In addition, PFN President and CEO Toru Nishikawa will make a keynote speech entitled “Robots for Everyone” on the opening day of the CEATEC exhibition. As well as introducing the outlook on future technologies, he will explain how PFN is applying cutting-edge technologies of machine learning, deep learning, and robotics to solve real-world problems.

  • CEATEC Keynote Future
  • ・Date/Time: 12:30~13:15 Tuesday on Oct. 16, 2018・Location:Convention Hall, International Conference Hall, Makuhari Messe・Speaker:Preferred Networks President and CEO Toru Nishikawa・Title/outline:”Robots for Everyone”The possibilities of robots are rapidly expanding thanks to the advancement of machine learning technology. Fusing the machine learning technology with robotics is essential for making robots that can flexibly respond to unexpected situations and execute various tasks like a human. Soon, we will begin to see an increasing number of robots helping to perform tasks in many places, working alongside humans. As well as introducing the current technology and PFN’s new initiative, President Nishikawa will provide insight into how we can leverage technology in the new era of these kinds of robots and the outlook on future technologies.

Preferred Networks received the Best Paper Award on Human-Robot Interaction in ICRA 2018.

ICRA(International Conference on Robotics and Automation), one of the top conferences in Robotics organized by Institute of Electrical and Electronics Engineers (IEEE), was held in Brisbane, Australia from May 21-25, 2018. In this conference, our paper “Interactively Picking Real-World Objects with Unconstrained Spoken Language Instructions” was awarded the Best Paper Award on Human-Robot Interaction (HRI).

At the award ceremony (from left, Sosuke Kobayashi, Jun Hatori, skipping one person, Kuniyuki Takahashi, and Wilson Ko)

After the ceremony (from left, Sosuke Kobayashi, Jun Hatori, Kuniyuki Takahashi, and Wilson Ko)


At PFN, we are applying the latest Image processing and natural language processing technologies as a means of communication between humans and robots. Our latest work has succeeded in building an interactive system in which you can use unconstrained spoken language instructions to operate a common object picking task.

PFN will continue to research and develop the cutting-edge technology and promote its application to the industry.


The details of the PFN’s paper “Interactively Picking Real-World Objects with Unconstrained Spoken Language Instructions” and video are available on the following website.