Extended Kalman Filter for robot localization, mapping, SLAM. Matlab 仿真机器人应用扩展卡尔曼滤波器localization, ma

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以一个四自由度机器人为例,图示了关节坐标系的设置,建立了机器人的运动学参数和关节的变换矩阵,并通过两个Matlab示例程序介绍了仿真程序的编写方法。最后通过实际仿真应用,探讨了利用Matlab软件完成绘制四自由度机器人的三维运动轨迹,并且通过动画来进行仿真研究的方法,最终通过机器人在笛卡尔空间做直线轨迹运动的截图展示了仿真运行的效果。研究表明,利用Matlab进行软件仿真能够大大地缩短机器人的开发周期,具有非常高的经济效益。

Wheeled Mobile Robotics: From Fundamentals Towards Autonomous Systemscovers the main topics from the wide area of mobile robotics, explaining all applied theory and application. The book gives the reader a good foundation, enabling them to continue to more advanced topics. Several examples are included for better understanding, many of them accompanied by short MATLAB® script code making it easy to reuse in practical work. The book includes several examples of discussed methods and projects for wheeled mobile robots and some advanced methods for their control and localization. It is an ideal resource for those seeking an understanding of robotics, mechanics, and control, and for engineers and researchers in industrial and other specialized research institutions in the field of wheeled mobile robotics. Beginners with basic math knowledge will benefit from the examples, and engineers with an understanding of basic system theory and control will find it easy to follow the more demanding fundamental parts and advanced methods explained.

可实现URDF描述的文件

机器人DH参数建模、详细建模、正逆运动学仿真与轨迹规划仿真

对于PUMA560机器人的动力学，运动学等的matlab仿真程序

Comparison with ground truth and triangulation provided, with varying amounts of gaussian noise added in train and test data.

机器人独立PID控制仿真实例 simulink 主程序 在M文件支持下运行