机械工程学报 ›› 2022, Vol. 58 ›› Issue (3): 1-20.doi: 10.3901/JME.2022.03.001
• 机器人及机构学 • 下一篇
梁军1, 韩冬冬1, 盘朝奉1, 陈龙1, 陈逢强2, 杜万兵2
收稿日期:
2021-05-27
修回日期:
2021-09-26
出版日期:
2022-02-05
发布日期:
2022-03-19
通讯作者:
梁军(通信作者),男,1976年出生,博士,教授,博士研究生导师。主要研究方向为智能车辆与智能交通。E-mail:liangjun@ujs.edu.cn
作者简介:
韩冬冬,男,1995年出生,硕士。主要研究方为智能车库设计。E-mail:1421063234@qq.com;盘朝奉,男,1979年出生,博士,教授,硕士研究生导师。主要研究方向为电动汽车系统技术集成与应用,电动汽车动力电池热管理技术。E-mail:chfpan@ujs.edu.cn;陈龙,男,1958年出生,博士,教授,博士研究生导师。主要研究方向为道路交通安全,车辆主动安全技术以及车辆动态仿真与控制。E-mail:chenlong@ujs.edu.cn;陈逢强,男,1972年出生,高级工程师。主要研究方向为智能车库机械设计。E-mail:55414911@qq.com;杜万兵,男,1987年出生,中级工程师。主要研究方向为智能车库机械设计。E-mail:523217619@qq.com
基金资助:
LIANG Jun1, HAN Dongdong1, PAN Chaofeng1, CHEN Long1, CHEN Fengqiang2, DU Wanbing2
Received:
2021-05-27
Revised:
2021-09-26
Online:
2022-02-05
Published:
2022-03-19
摘要: 近年来基于移动机器人的智能车库(Robot-based intelligent garage,RIG)以高容量、高效率和高安全性的特点,在缓解城市"停车难"问题彰显卓越功效。RIG作为智能交通系统的重要组成部分,其核心组件是移动机器人(Automated guided vehicle,AGV),而AGV运行控制依赖RIG关键技术。在分析RIG相关文献的基础上,首先根据RIG运行特点,从"布局方案""调度策略"和"路径规划"三个方面对现有RIG关键技术梳理。然后,系统回顾了RIG关键技术的理论基础、研究方法、应用现状及优缺点,深入探讨了RIG关键技术在运行过程中所发挥的重要作用。最后,针对RIG运行过程中存在的问题,仍从以上三个方面展望了RIG关键技术的发展趋势。需要强调的是:①运用大数据处理技术,挖掘不同时间段停车需求,指导RIG布局自动优化以平衡停车容量和存取效率需要;②云机器人技术在RIG调度策略应用逐渐广泛,结合出行即服务技术RIG,制定满足用户满意度的RIG调度策略;③随着RIG布局方案、调度策略以及实际环境障碍物的复杂化,利用深度强化学习框架解决AGV的路径规划问题已成为当前发展趋势。系对RIG关键技术研究成果的系统梳理,对未来RIG技术研发和工程应用具有重要的指导意义。
中图分类号:
梁军, 韩冬冬, 盘朝奉, 陈龙, 陈逢强, 杜万兵. 基于移动机器人的智能车库关键技术综述[J]. 机械工程学报, 2022, 58(3): 1-20.
LIANG Jun, HAN Dongdong, PAN Chaofeng, CHEN Long, CHEN Fengqiang, DU Wanbing. Review on Critical Technologies of Robot-based Intelligent Garages[J]. Journal of Mechanical Engineering, 2022, 58(3): 1-20.
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