Trajectory planning for a manipulator with nonlinear Coulomb friction using a dynamically incremental genetic algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,General Biochemistry, Genetics and Molecular Biology
Link
http://link.springer.com/content/pdf/10.1007/s10015-016-0318-1.pdf
Reference8 articles.
1. Abe A, Sasamori K (2010) Optimal trajectory planning for a flexible manipulator. Trans Soc Instrum Control Eng 46(2):130–132
2. Harada K (2014) Optimization in robot motion planing. J Robot Soc Jpn 32(6):508–511
3. Abe A, Nemoto S (2012) An Energy saving feedforward control technique for a 2-DOF flexible manipulator. Trans Jpn Soc Mech Eng C 78(789):1325–1337
4. Sato A, Sato O, Kono M, Kai K (2003) Trajectory for Saving Energy of Direct-Drive Manipulator with Two Degree of Freedom in FTP Motion under Gravity. The Japan Society for Precision Engineering 69(9):1281–1285
5. Izumi T (2000) Path planning for saving energy of a manipulator in PTP motions. J Robot Soc Jpn 18(7):972–978
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Energy-saving trajectory planning for robots using the genetic algorithm with assistant chromosomes;Artificial Life and Robotics;2019-09-13
2. A Review on Significant Technologies Related to the Robot-Guided Intelligent Bolt Assembly Under Complex or Uncertain Working Conditions;IEEE Access;2019
3. Dynamically evolving algorithm for minimizing the energy consumption of a manipulator;Artificial Life and Robotics;2018-10-08
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