Intelligent Food Delivery Robot

I&T Solution Intelligent Food Delivery Robot
(REF : S-0492)
Trial Project
Solution Feature
  • As it needs to finish unmanned meal delivery service between multiple floors, during the epidemic, we develop the cascade navigation algorithm and map switching technology
  • For the obstacles that may be uncertain or mobile in the distribution process, we advanced stopping technology and intelligent obstacle avoidance strategies.
  • Visual recognition and voice interaction technologies are used to avoid the situation occurs that customers may take wrong goods.
  • The remote control and automatic charging technologies will fix those issue such as inevitable small fault and electricity alarm of the robot.
  • In order to reduce personnel flow and contact as the large-scale use scenarios, we build the intelligent multi-machine-scheduling-system and traffic control strategy.
Trial Application and Expected Outcome
  • It will finish the high-precision distribution in the multi-storey of the building and reduce the contact of people to people, as the high-precision navigation technology and Internet of things technology be used.
  • It will not collide with obstacles in the distribution process as the intelligent obstacle stopping and obstacle crossing technology be used, so that it creates a safe and reliable delivery for goods.
  • It make an accurate distribution for the customer as the Integrate visual recognition and voice interaction technologies be used.
  • The remote control and automatic charging technology be added to further reduce the field workload of technical personnel, it not only further explain unmanned-distribution but reduce the cost for employees.
  • It can not only improve the efficiency of the robot but also greatly reduce the traffic density and investment cost by the multi-machine-scheduling-system and traffic control strategy.
Additional Solution Information 送餐機器人附加資料.pdf
Info on I&T Solution Provider
Solution Provider:Guangdong Bright Dream Robotics Co. Ltd.
Address:Nanping Road, Shunde District, Foshan City, Guangdong Province, China
Contact Person:Derek Xie
Position:Sales Manager
Tel: +86 15120356818
Email: xiewensheng@countrygarden.com.cn

For details of the above I&T solution, please contact the I&T solution provider.