工具箱
运动学
计算机科学
工作区
正向运动学
过程(计算)
水准点(测量)
机器人
串联机械手
公制(单位)
帧(网络)
机器人学
工业机器人
流离失所(心理学)
人工智能
机器人运动学
算法
体积热力学
反向动力学
运动捕捉
代表(政治)
控制工程
匹配(统计)
分段
计算机视觉
软件
机床
自由度(物理和化学)
作者
Haydar Karhan,Zafer Bingül
出处
期刊:Machines
[Multidisciplinary Digital Publishing Institute]
日期:2025-10-13
卷期号:13 (10): 944-944
被引量:1
标识
DOI:10.3390/machines13100944
摘要
Traditionally, the determination of the Denavit–Hartenberg (DH) parameters for serial robotic manipulators is a manual process that depends on manufacturer documentation or user-defined conventions, often leading to inefficiency and ambiguity in DH frame placement and parameters. This study introduces a universal and systematic methodology for automatically deriving DH parameters directly from a robot’s zero configuration, using only the geometric relationships between consecutive joint axes. The approach was implemented in a MATLAB-based kinematics toolbox capable of computing both the classical and modified DH parameters. In addition to parameter extraction, the toolbox integrates workspace visualization, manipulability and dexterity analysis, and a slicing and alpha-shape algorithm for accurate workspace volume computation. Validation was conducted on multiple industrial robots by comparing the extracted parameters with the manufacturer data and the RoboDK models. Benchmark studies confirmed the accuracy of the volume estimation, yielding an absolute percentage error of less than 4%. While the current implementation relies on RoboDK models for verification and requires the manual tuning of the alpha-shape parameter, the toolbox provides a reproducible and extensible framework for research, education, and robot design.
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