DOBOT Nova collaborative robot is released for self-service unmanned retail industry
The global labor shortage and the increase in labor costs have had a great impact on the retail service industry, prompting the acceleration of the automation of the retail industry. In response to this growing market demand, Dobot released the DOBOT Nova series of collaborative Robots specially designed for the commercial sector, which can be used for making coffee, ice cream, fried chicken, cooking noodles, bartending, and massage therapy.
The DOBOT Nova series releases two products for the first time, which are respectively suitable for Nova 2 in the retail field and Nova 5 in the field of massage and physiotherapy. Human contact greatly reduces operating costs.
In order to meet the needs of merchants for personalized brand image, different from Industrial collaborative robots, DOBOT Nova adopts a simple design style, supports customers to customize the appearance of the body, perfectly integrates into the store environment, and brings a friendly user experience. Different from industrial robots, Nova has an extremely compact body design in order to meet the requirements of floor area efficiency ratio in the store, and it can be imported and used in only 1 square meter of space.
Considering that retailers generally lack professional engineers, DOBOT Nova pays special attention to the usability design of products. Drag teaching, graphical programming, custom buttons and other software and hardware designs, and the deployment can be completed in 10 minutes and start running.
Robots used in the retail service industry have frequent contact with people, and safety is a crucial indicator. DOBOT Nova adopts a variety of safety protection technologies, which can intelligently sense human body movements, stop quickly within 0.01s when a collision is detected, and automatically lock in case of power failure and other emergencies to ensure safety.
DOBOT Nova opens up unlimited imagination space for the robot service business field. Robots that have been widely used in the industrial field in the past will gradually enter people’s daily life, and the interaction and collaboration between humans and robots will continue to increase.
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