1. 毕业设计(论文)的内容和要求
主要内容: 本课题设计一款基于ROS的移动机器人,通过传感器获取环境数据,可实现SLAM和自主导航。
功能简述:随着智能时代的到来,机器人的定位和自动导航技术逐渐成为一项重要的研究课题。
在本项目中,运行在ROS中的机器人通过携带的激光雷达,使用SLAM技术直接绘制高精度的环境地图或者采用图像传感器作为地图构建的主要数据源。
2. 参考文献
[1]Pathak K, Birk A, Vaskevicius N, 等. Online 3D SLAM by Registration of Large Planar Surface Segments and Closed Form Pose-Graph Relaxation[J]. Journal of Field Robotics, Special Issue on 3D Mapping, 2010, 27(1): 5284.[2] Long X, Schwertfeger S. Path Planning Tolerant to Degraded Locomotion Conditions[A]. 2019 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR)[C]. IEEE, 2019: 290296.[3] Hou J, Kuang H, Schwertfeger S. Fast 2D Map Matching Based on Area Graphs[J]. arXiv preprint arXiv:1911.07432, 2019.[4] He Z, Hou J, Schwertfeger S. Furniture Free Mapping[J]. arXiv preprint arXiv:1911.00663, 2019.[5] Chavez A G, Xu Q, Mueller C A, et al. Adaptive Navigation Scheme for Optimal Deep-Sea Localization Using Multimodal Perception Cues[J]. arXiv preprint arXiv:1906.04888, 2019.[6] Schwertfeger S, Yu T. Matching Paths in Topological Maps[J]. IFAC-PapersOnLine, 2016, 49(15): 224229.[7] Schwertfeger S, Birk A. Map evaluation using matched topology graphs[J]. Autonomous Robots, 2016, 40(5): 761787.[8] Schwertfeger S, Birk A. A Short Overview of Recent Advances in Map Evaluation[A]. IEEE Press, 2012.[9] Birk A, Pathak K, Vaskevicius N, 等. Surface Representations for 3D Mapping: A Case for a Paradigm Shift[M]. Springer-Verlag, 2010, 24.[10] Pathak K, Vaskevicius N, Poppinga J, et al. Fast 3D mapping by matching planes extracted from range sensor point-clouds[C]//2009 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, 2009: 1150-1155. [11] Pathak K, Birk A, Schwertfeger S, 等. 3D Forward Sensor Modeling and Application to Occupancy Grid Based Sensor Fusion[A]. IEEE Press, 2007: 20592064.[12] 张文. 基于多传感器融合的室内机器人自主导航方法研究[D].中国科学技术大学,2017.[13] 杨兴. 室内自主导航移动机器人路径规划研究[D].中北大学,2016.[14] 祝甜一. 基于ROS的自主式救援机器人SLAM和导航系统研究[D].东南大学,2015.[15] 杨东方,王仕成,刘华平,刘志国,孙富春.基于Kinect系统的场景建模与机器人自主导航[J].机器人,2012,34(05):581-589.
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