Started receiving orders for "Autonomous Movement Model" of Logistics Support Robot CarriRo®, with Autonomous Drive Technology Unmanned Transport Function
- Will be published at ZMP Forum to be held from 18th to 20th July -
ZMP Co., Ltd. (Bunkyo-ku, Tokyo; CEO: Taniguchi Hisashi , hereinafter "ZMP") will begin the sale of the "Autonomous Movement Model" of the logistic support robot "CarriRo" within this year.
Logistic support robot Carriro autonomous movement model
ZMP has realized autonomous driving of CarriRo by the CarriRo Visual Tracking method applying Autonomous Driving technology. CarriRo acquires its own position and driving instruction information by Image Recognition while traveling, and carries out stable route travel without human intervention. Moreover, it is possible to change the driving instruction information through the tablet, and by simply setting the traveling route as a pattern, the running route can be changed at any time, so flexible operation is possible.
Also, since there is a following tracking function installed, it is possible to improve productivity further by separately using tracking function and autonomous moving function. For example, by using the autonomous moving function in the leading CarriRo which is the leading vehicle and using the follow-up function to the subsequent CarriRo, it is also possible to transport without any attendees.
The CarriRo "Autonomous Movement Model" will be demonstrated at the ZMP Forum 2018 which is to be held on July 18th - 20th, 2018.The actual demonstration and related programs will be announced.
* The current CarriRo "2018 Model" (Following function) is also sold in parallel even after the start of "Autonomous Moving” Model shipping, and "2018 Model" (following function) can be upgraded to "Autonomous Moving” Model.
【10th ZMP Forum Summary】
ZMP Forum 2018 "Change the movement of people and goods with commercialization of Autonomous Driving "
ZMP holds the ZMP Forum annually since 2009, with the desire to contribute to the acceleration of technology development in the world and this will be the 10th time.The program consists of a keynote lecture by Mr. Masashi Sugiyama, Director of RIKEN Innovation Intelligence Integration Research Center. Case introduction and Presentation of new products will be done by ZMP staffs.
Date and time:
2018年7月18日（水） 10:00～18:00（18:30～ 懇親会）
2018年7月19日（木） 10:00～17:00（17:00～ 商品デモ＆体験会）
Venue: Bellesalle Iidabashi (3-8-5 Iidabashi Chiyoda-ku, Tokyo, Sumitomo Real Estate Iidabashi Ekimae Building)
Participation fee: Free (fee is charged for social gathering)
※新モデルに関する発表は、第3日目 7月20日（金） 10：30～
"CarriRo Distribution Support Robot, Presentation of Innovative Reasonable New Version" Autonomous Movement Model "will be carried out.
We are disclosing the program of each day. (* As of June 28)
【Distribution Support Robot CarriRo : Current 2018 Model (Following Function)】
CarriRo is a trolley type logistic support robot with a drive mode that allows operation with a joystick and a karugamo mode that automatically tracks a beacon (transmitter), and is a product that began selling in August 2016. By utilizing CarriRo's function, we aim to raise the productivity of transportation up to about 3 times. It can be recharged for 8 hours continuously and a maximum of 150 kg baggage can be transported,hence the picking operations in warehouses and logistics centers can be improved efficiently when used for conveyance between steps in the factory, belt conveyors and AGVs (automatic guided vehicles).It is also possible to substitute with them.Moreover, since the work load is greatly reduced, it becomes possible for women and elderly people to carry out the transportation work which was regarded as hard labor so far, so it can be used for expanding workers and promoting employment.
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5 year lease monthly charge 28,000 yen (excluding tax) / 1 unit
Size: width 600 mm, depth 900 mm, height 200 mm (handle portion 900 mm)
· Maximum loading load: 150 kg
· Maximum speed: 6 km / hour
. Charging time: 2.5 hours
· Operating time: 8 hours (It may differ depending on operating conditions)
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