Research of the Robot Arm Gravity Compensation based on the Genetic Algorithm for Optimization of Neural Network
By adopting a genetic algorithm for optimization of neural network,the gravity compensation for robot arm is researched.Firstly,through the basic knowledge of mechanics and D-H parameter to set up robot kinematics model,the theoretical computation formula of the gravity item of each joint torque in...
Saved in:
Main Authors: | Yang Yuan, Cao Tong, Liu Da |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Office of Journal of Mechanical Transmission
2017-01-01
|
Series: | Jixie chuandong |
Subjects: | |
Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2017.02.008 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research on End-Effector Position Error Compensation of Industrial Robotic Arm Based on ECOA-BP
by: Wenping Xiang, et al.
Published: (2025-01-01) -
Research on Joint Stiffness Identification and Error Compensation of the Serial Six DOF Robot
by: Ping Rui, et al.
Published: (2019-06-01) -
A Kind of Calibration Method for Robot Arm DH Parameter by Using Calibration Board
by: Yang Yuan, et al.
Published: (2017-01-01) -
Research of Gravity Compensation Mechanism based on Non-circular Gear
by: Yang Yandong, et al.
Published: (2019-01-01) -
A novel RRT*-Connect algorithm for path planning on robotic arm collision avoidance
by: Miaolong Cao, et al.
Published: (2025-01-01)