为了实现人体运动建模，提出一种新颖的基于人体关节约束的实时逆向运动学算法。
A novel inverse kinematics algorithm based on the human constrained joints for real-time human motion modeling is proposed.
提出了利用齐次变换矩阵和正向、逆向运动学相结合的误差计算方法以及相应的误差补偿策略；
The error calculating method using the homogeneous coordinate transformation matrix together with forward and inverse kinematics and the corresponding error compensation strategies were proposed.
提出了坐标变换、三角变换等方法，巧妙求解出拟人机器人TH- 1手臂逆向运动学的解析表达式。
Coordination transform, triangle transform, etc are proposed to successfully derive the inverse kinematics analytic equations for the humanoid robot th 1 arms.
仿真结果表明：这种方法对于求解仿人型跑步机器人的正向运动学和逆向运动学问题，具有求解速度快、精度高等优点。
Simulation results show that this method has an advantage of high speed and high-precision for the forward kinematics and the inverse kinematics of the running robot.
建立标定模型，用逆向运动学标定方式模拟了一新型五轴并联机床的标定过程，结果表明这种标定方法的算法收敛快、鲁棒性好。
After establishing the model for the calibration of a novel five-axis parallel machine tool, the process of calibration is simulated by minimizing inverse kinematic residuals.
建立标定模型，用逆向运动学标定方式模拟了一新型五轴并联机床的标定过程，结果表明这种标定方法的算法收敛快、鲁棒性好。
After establishing the model for the calibration of a novel five-axis parallel machine tool, the process of calibration is simulated by minimizing inverse kinematic residuals.
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