首页|基于ROS的校园移动售餐机器人

基于ROS的校园移动售餐机器人

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随着高校用餐高峰期食堂的拥挤程度日趋上升,为了缓解拥堵,同时减少外卖餐盒等一次性垃圾的产生,研制出一款具有自主的路径规划能力的提供售餐服务的机器人.基于ROS机器人操作系统,设计分层的硬件架构,和软件框架,通过激光雷达、深度相机扫描感知周围环境,构建地图,自主导航,利用红外传感器、语音识别、播报模块,进行人机交互.使用售餐机器人结合手机APP能够在教学楼、宿舍附近,提供点餐、支付一体化服务,有效缩短消费人群与食堂之间的距离,相比外卖更加绿色环保,提高效率,实现了智慧餐饮的新理念,优化了餐饮消费的服务体验.
Campus Mobile Meal Selling Robot Based on ROS
With the increasing overcrowding of cafeterias during peak dining hours in universi-ties,in order to alleviate congestion and reduce the generation of disposable waste such as takeout boxes,a robot with independent path planning capabilities has been developed to provide food sales services.Based on the ROS robot operating system,a layered hardware architecture and software framework are designed to sense the surrounding environment through laser radar and depth camera scanning,build maps,navigate autonomously,and use infrared sensors,voice recog-nition,and broadcast modules for human-computer interaction.The use of food robots com-bined with mobile apps can provide integrated ordering and payment services near teaching buildings and dormitories,effectively shortening the distance between consumers and the cafete-ria.Compared to takeout,it is more green and environmentally friendly,improving efficiency,realizing the new concept of smart catering,and optimizing the service experience of catering consumption.

ROSMobile food salesAutonomous drivingSunriseX3 PiSTM32SLAM algo-rithm

徐晓骏、哈玉佳

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南京工业大学浦江学院机电学院,江苏南京 211200

ROS 移动售餐 自动驾驶 旭日X3 STM32 SLAM 算法

2022年南京工业大学浦江学院科研创新训练项目

202213905007Y

2024

长江信息通信
湖北通信服务公司

长江信息通信

影响因子:0.338
ISSN:2096-9759
年,卷(期):2024.37(1)
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