Robot – Preferred Networks, Inc. https://www.preferred.jp Mon, 22 Jun 2020 07:53:29 +0000 en-US hourly 1 https://wordpress.org/?v=5.2.9 https://www.preferred.jp/wp-content/uploads/2019/08/favicon.png Robot – Preferred Networks, Inc. https://www.preferred.jp 32 32 Preferred Networks Begins Designing Mobile Manipulators for Mass Production https://www.preferred.jp/en/news/pr20200622/ https://www.preferred.jp/en/news/pr20200622/#respond Mon, 22 Jun 2020 07:09:53 +0000 https://preferred.jp/?p=14295 TOKYO – June 22, 2020 – Preferred Networks Inc. (PFN) has begun designing a mobile manipulator, a robotic mani […]

投稿 Preferred Networks Begins Designing Mobile Manipulators for Mass ProductionPreferred Networks, Inc. に最初に表示されました。

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TOKYO – June 22, 2020 – Preferred Networks Inc. (PFN) has begun designing a mobile manipulator, a robotic manipulator arm mounted on a mobile platform, for mass production. In parallel, PFN plans to conduct field tests using its mobile manipulator prototype in real-world settings such as factories, laboratories, offices, hospitals and welfare facilities. The intended use includes unmanned transport and disinfection in environments where workers are lacking or human presence is undesired due to COVID-19 and other infection risks.

PFN’s mobile manipulator has been selected as one of the projects to receive subsidies from Japan’s Ministry of Economy, Trade and Industry under its 2020 program to support Japanese startups combining software and hardware to open up new markets. From June 2020 to February 2021, PFN will use the subsidy to design the mobile manipulator’s hardware and perform field tests in various real-world settings.

Concept rendering of PFN’s mobile manipulator

PFN takes a vertically-integrated approach by developing the software, including the motor control layer that regulates physical interaction and safety, and designing the hardware, such as the arm, end effectors and mobile platform. By developing both hardware and software in-house, PFN can exclude unnecessary functions, minimize production costs, and enhance the product’s safety and performance.

Since announcing its “Robots for Everyone” vision in 2018, PFN has devoted itself to developing robots that can be installed at a low cost in various environments and support humans with their everyday needs. PFN will continue combining hardware technologies with its original strength in software technologies, such as deep learning for object recognition and control, to create practical robots that adapt flexibly in varying real-world conditions.

PFN is looking for partners and facilities that can participate in the field tests in Japan. Inquiries and suggestions are accepted via the contact form:
https://forms.gle/Sx3k4oSn71gowuVE9

投稿 Preferred Networks Begins Designing Mobile Manipulators for Mass ProductionPreferred Networks, Inc. に最初に表示されました。

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Preferred Networks received the Best Paper Award on Human-Robot Interaction in ICRA 2018. https://www.preferred.jp/en/news/pr20180525/ Fri, 25 May 2018 07:25:18 +0000 https://www.preferred-networks.jp/ja/?p=11320 ICRA(International Conference on Robotics and Automation), one of the top conferences in Robotics organized by […]

投稿 Preferred Networks received the Best Paper Award on Human-Robot Interaction in ICRA 2018.Preferred Networks, Inc. に最初に表示されました。

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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.

https://pfnet.github.io/interactive-robot/

投稿 Preferred Networks received the Best Paper Award on Human-Robot Interaction in ICRA 2018.Preferred Networks, Inc. に最初に表示されました。

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