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Food delivery robot VendBot
indoorfor pedestrian areaon wheels

food delivery robot
food delivery robot
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Characteristics

Applications
for food
Travel area
indoor, for pedestrian area
Type
on wheels
Other characteristics
autonomous
Load limit

30 kg
(66 lb)

Autonomy

10 h

Storage volume

145 l
(38.3 gal)

Description

Mobile VendBot By employment of the SLAM algorithm and IRT(lmage Recognition Technology), this robot navigates himself by smart planning routes towards crowds of huge density, by detecting current consumers and precisely seeking out potential consumers which will then realizes an extraordinary experience 6 Advantages Smart Mobile Vendbot, New Shopping Experience Intelligent Navigation Multi-Scene Applications Autonomous Avoidance Voice Broadcast Mobile Ads Remote Operation Intelligent Navigation This robot, with the help of SLAM algorithm and image récognition technology, can automatically search and recognize potential sales leads, to achieve an extraordinary shopping expérience "Goods-To-Person". By detecting customers density, it can also do self-navigation and create smart planning routes to move towards an area of largest population. Moreover, it can autonomously find and precisely recognize potential sales leads to realize “Goods-Seek-Human” . Multi-Scene Applications In the near future, a Vendbot will be applied to many more areas such as airport, hôtel, hospital, departure hall, office area, cinéma, gym and so on. The robot shall try its best to provide accurate and comprehensive services with carefulness driven by a consumer oriented concept. Autonomous Avoidance Carried with multiple sensors, the robot will be autonomously positioned in the environment. Through the deep optimization of the obstacle avoidance algorithm, it can perceive the real-time environmental changes around it
*Prices are pre-tax. They exclude delivery charges and customs duties and do not include additional charges for installation or activation options. Prices are indicative only and may vary by country, with changes to the cost of raw materials and exchange rates.