Fast Inverse Kinematics Based on Pseudo-Forward Dynamics Computation: Application to Musculoskeletal Inverse Kinematics
IEEE Robotics and Automation Letters(2023)
摘要
Recently, fast and practical inverse kinematics (IK) methods for complicated human models have gained considerable interest owing to the spread of convenient motion-capture or human-augmentation technologies. Although the IK algorithms developed in robotics can also be applied to humans, they experience computational speed issues, especially in real-time applications. This letter presents a new IK algorithm based on the Levenberg- Marquardt (LM) method, LM-PFD (Pseudo-Forward Dynamics), which is remarkably effective particularly in systems with a large degree of freedom (DoF). In the proposed method, the O(N) forward dynamics algorithm is utilized by introducing a virtual dynamical system derived from damping or weighing factors used in the LM method. The letter firstly introduces the basic implementation of LM-PFD for open kinematic chains. Subsequently, an enhanced implementation is presented to address closed kinematic chains, specifically focusing on wire-driven systems. The proposed method was tested on the IK of musculoskeletal models. The computational time of the model with approximately 150 DoF and 300 wires was within 5 ms.
更多查看译文
关键词
Kinematics,human and humanoid motion analysis and synthesis,dynamics
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要