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楼宇垃圾桶搬运机器人设计研究OA

Research on design of building trash bin handling robot

中文摘要英文摘要

现代楼宇垃圾清理主要依赖人工,劳动强度大、工作效率低,而通用移动机器人在狭窄走廊等复杂环境中存在路径平滑性差、计算效率低等问题.为此,设计了一种楼宇垃圾桶搬运机器人.首先,设计机器人的机械结构,包括由两轮差速驱动的底盘运动模块、提升模块以及由舵机驱动的夹持模块,以保障垃圾桶的稳定抓取.其次,搭建基于ROS与µC/OS操作系统的分层控制系统.进一步地,提出一种改进A*算法,采用分层定向邻域搜索策略提升搜索效率,引入自适应双权重启发函数以规避局部最优解,并利用关键节点提取策略剔除冗余节点,从而实现路径优化.仿真结果表明,改进算法的搜索时间最大降幅达到44%,搜索节点数量减少了50%~80%.所设计的机器人在样机测试中成功完成了自主导航、巡检与垃圾桶搬运任务,验证了其在楼宇环境中的可行性与有效性.

Trash cleaning in modern buildings mainly relies on manual labor,which suffers from high intensity and low efficiency.Meanwhile,general mobile robots face issues such as poor path smoothness and low computational efficiency in complex environments like narrow corridors.To address these issues,a building trash bin handling robot was designed.First,the mechanical structure of the robot was designed,consisting of a two-wheel differential drive chassis module,a lifting module,and a servo-driven clamping module to ensure the stable grasping of trash bins.Then,a hierarchical control system was built based on ROS and µC/OS.Furthermore,an improved A* algorithm was proposed,which adopted a hierarchical directional neighborhood search strategy to optimize search efficiency,introduced an adaptive dual-weight heuristic function to avoid local optimal solutions,and utilized a key node extraction strategy to remove redundant nodes,thereby achieving path optimization.Simulation results showed that search time was reduced by up to 44%,and the number of search nodes was reduced by 50%-80%.The designed robot successfully completed autonomous navigation,inspection,and trash bin handling tasks in prototype testing,verifying its feasibility and effectiveness in building environments.

李志刚;邹骏鹏;杨翔

华东交通大学 机电与车辆工程学院,江西 南昌 330013华东交通大学 机电与车辆工程学院,江西 南昌 330013华东交通大学 机电与车辆工程学院,江西 南昌 330013

信息技术与安全科学

楼宇机器人控制系统A*算法路径规划

building robotcontrol systemA* algorithmpath planning

《工程设计学报》 2026 (3)

359-369,11

国家自然科学基金资助项目(52265046)

10.3785/j.issn.1006-754X.2026.05.174

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