Inverse kinematics solving method, electronic device, and computer-readable storage medium
By using approximate closed inverse kinematics and iterative solution methods, and leveraging the Jacobian matrix and optimization solution library, the problem of low efficiency and success rate in inverse kinematics solution for end-effector biased six-joint robotic arms was solved, achieving efficient inverse kinematics solution.
Patent Information
- Application Number
- CN202211742250.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-12-28
- Publication Date
- 2026-01-16
- Estimated Expiration
- 2042-12-28
AI Technical Summary
Existing technologies struggle to efficiently solve the inverse kinematics of a six-joint robotic arm with an end-effector bias, especially when the Pieper criterion cannot be satisfied. Traditional methods suffer from low success rate and efficiency.
The initial joint states are obtained by solving the approximate closed inverse kinematics. Iterative solutions are then performed using the Jacobian matrix iterative equation and the optimization solution library. Combining the Jacobian matrix iterative equation and the Ceres optimization solution library improves the efficiency and success rate of inverse kinematics solutions.
This method enables efficient and successful solving of the inverse kinematics problem of a six-joint robotic arm under end-effector bias, improving both solution efficiency and success rate.
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Abstract
Citation Information
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