EMIKNet: Expanding Multiple-Instance Inverse Kinematics Network for Multiple End-Effector and Multiple Solutions

Inverse Kinematics (IK) is essential for robot control but suffers from computational complexity as the number of links and end-effectors increases, thereby affecting real-time control accuracy and performance. In this letter, we propose a neural network-based IK approach to efficiently address the...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Youn-Jae Go, Jun Moon
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Deep learning methods kinematics motion control
Online Access:	https://ieeexplore.ieee.org/document/10872929/