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Human Arm Inverse Kinematic Solution Based Geometric Relations and Optimization Algorithm
Mohammed Z. Al-Faiz, Abduladhem A.Ali, Abbas H.Miry
Pages - 245 - 255     |    Revised - 01-09-2011     |    Published - 05-10-2011
Volume - 2   Issue - 4    |    Publication Date - September / October 2011  Table of Contents
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KEYWORDS
Inverse Kinematic, Human Arm, Levenbrge Marquite
ABSTRACT
Kinematics for robotic systems with many degrees of freedom (DOF) and high redundancy are still an open issue. Namely, computation time in robotic applications is often too high to reach good solution, for parts of the kinematic chain; the problem of inverse kinematics is not linear, as rotations are involved. This means that analytical solutions are only available in limited situations. In all other cases, alternative methods will have to be an employed.The most-used alternative is numerical solutions optimization. This paper presents a strategy based on combine’s analytical solutions with nonlinear optimization algorithm solutions to solution the IKP. A analytical solutions is used to reduce the size of problem from seven variable of joint angle to single variable and nonlinear optimization algorithm was used to find approximate solution which make the computation time is very small
CITED BY (7)  
1 Pfurner, M. (2016). Closed form inverse kinematics solution for a redundant anthropomorphic robot arm. Computer Aided Geometric Design.
2 Jha, A., Chiddarwar, S. S., & Andulkar, M. V. (2015, August). An integrated approach for robot training using Kinect and human arm kinematics. In Advances in Computing, Communications and Informatics (ICACCI), 2015 International Conference on (pp. 216-221). IEEE.
3 Jha, A., Chiddarwar, S. S., & Andulkar, M. (2015, July). Application of human arm kinematics for robot path programming using imitation. In Proceedings of the 2015 Conference on Advances In Robotics (p. 15). ACM.
4 Liu Yucheng. (2014). Imitate robotic arm posture trajectory planning of human action and the endpoint under.
5 Wan, K., Aswad, A. R., Suhaimi, R., Adnan, N. H., Ariffin, M. A., & Haslina, M. Glove-Based Virtual Interaction for the Rehabilitation of Hemiparesis Stroke Patient.
6 Mbouzao, B. (2013). Quantitative Assessment of Human Motion Capabilities with Passive Vision Monitoring (Doctoral dissertation, University of Ottawa).
7 Lura, D., Wernke, M., Alqasemi, R., Carey, S., & Dubey, R. (2012, August). Probability density based gradient projection method for inverse kinematics of a robotic human body model. In Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE (pp. 6789-6792). IEEE.
1 Google Scholar 
2 CiteSeerX 
3 refSeek 
4 SlideShare 
5 PdfSR 
C. Hua, C. and Wei-shan, “Wavelet network solution for the inverse kinematics problem in robotic manipulator”,Chen Zhejiang Univ Science , Vol. 7 ,No.4 ,2006 PP: 525-529.
Chetan K. and Delbert T. "Kinematics Abstraction for General Manipulator Control", Robotics Research Group, The University of Texas at Austin, JJPRC/MERB 1.206, mail Code R9925, Austin, Texas 78712-1100, 1990 .
De Xu, and A. Acosta ,” An Analysis of the Inverse Kinematics for a 5-DOF Manipulator” ,International Journal of Automation and Computing vol. 2 ,2005 pp :114-124
Derrick T. Mirikitani, and Nikolay Nikolaev ,” Recursive Bayesian Recurrent Neural Networks for Time-Series Modeling “IEEE Trans on Neural Network, Vol .21, No. 2, Feb 2010 pp: 262-274.
Do, M.; Azad, P.; Asfour, T.,” Imitation of human motion on a humanoid robot using nonlinear optimization”, Humanoid Robots, 2008. 8th IEEE-RAS International Conference pp:545 – 552 .
E. Kolay , K. Kayabali and Y. Tasdemir ,”Modeling the slake durability index using regression analysis,artificial neural networks and adaptive neuro-fuzzy methods”,Bull Eng Geol Environ Springer Vol.69 ,No.7, 2010 pp:275–286.
E.Derya,” Detecting variabilities of ECG signals by Lyapunov exponents”,Neural Computing & Applications, Springer Vol.18 ,No.7, 2009 pp: 653-662 .
H. Yali and W. Xingsong, “Kinematics analysis of lower extremity exoskeleton”, Control and Decision Conference, 2008. CCDC 2008. Chinese, 2-4 July 2008 ,pp: 2837 – 2842 .
K. Abdel-Malek, W. Yu, ”Human Placement for Maximum Dexterity”, Department of Mechanical Engineering The University of Iowa, Technical report , 2004 pp :1-27.
K. Levenberg, “A Method for the Solution of Certain Non-Linear Problems in Least Squares,” The Quarterly of Applied Mathematics, Vol. 2, 1944 ,pp: 164–168
M. W. Spong, S. Hutchinson, M. Vidyasagar, “Robot Modeling and Control”, JOHN WILEY & SONS, INC, First Edition, 2001, PP:66-67.
M. Z. Al-Faiz, Y. I. Al-Mashhadany, “Analytical Solution for Anthropomorphic Limbs Model (IK of Human Arm)”, IEEE Symposium on Industrial Electronics and Applications (ISIEA 2009),Malaysia ,October 2009 pp: 684-689.
Saraoglu, H.M.; Kocan, M. ,”Determination of Blood Glucose Level-Based Breath Analysis by a Quartz Crystal Microbalance Sensor Array”, IEEE Sensor Journal, Vol. 10, No. 1,January 2010 pp: 104-109
T. Sugihara,” Solvability-unconcerned Inverse Kinematics based on Levenberg-Marquardt Method”, 2009 IEEE-RAS International Conference on Humanoid Robots, , Paris, Dec,2009 ,pp:555-560
V. Grecu, N. Dumitru, and L. Grecu,” Analysis of Human Arm Joints and Extension of the Study to Robot Manipulator”, Proceedings of the nternational MultiConference of Engineers and Computer Scientists, Vol 2, March 18 - 20, 2009 pp:1348-1351. .
Dr. Mohammed Z. Al-Faiz
- Iraq
mzalfaiz@ieee.org
Dr. Abduladhem A.Ali
- Iraq
Dr. Abbas H.Miry
- Iraq


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