References

1. Gu YL, Luh J (1987) Dual-number transformation and its application to robotics. IEEE J Robot Automation 3: 615-623. View
2. Kim JH, Kumar VR (1990) Kinematics of robot manipulators via line transformations. J Robot Syst 4: 649-674. View
3. Caccavale F, Siciliano B (2001) Quaternion-based kinematic control of redundant spacecraft/ manipulator systems. In proceedings of the 2001IEEE international conference on robotics and automation, pp. 435- 440. View
4. Kucuk S, Bingul Z (2004) The Inverse Kinematics Solutions of Industrial Robot Manipulators, IEEE Conference on Mechatronics, pp. 274-279. View
5. Craig JJ (2004) Introduction to Robotics: Mechanics and Control, 3rd edn, Englewood Cliffs, NJ: Prentice-Hall. View
6. Balestrino A, De Maria G, Sciavicco L (1984) Robust control of robotic manipulators, In Proceedings of the 9th IFAC World Congress 5: 2435- 2440.
7. Wolovich WA, Elliott H (1984) A computational technique for inverse kinematics, The 23rd IEEE Conference on Decision and Control, pp.1359- 1363. View
8. Wampler CW (1986) Manipulator inverse kinematic solutions based on vector formulations and dampedleast-squares method, in Proceeding of the IEEE Transactions on Systems, Man and Cybernetics 16: 93-101. View
9. Nakamura Y, Hanafusa H (1986) Inverse kinematic solutions with singularity robustness for robotmanipulator control. Journal of Dynamic Systems, Measurement, and Control 108: 163-171. View
10. Wang LCT, Chen CC (1991) A combined optimization method for solving the inverse kinematics problem of mechanical manipulators. IEEE Trans Robot Automation 7: 489-499. View
11. Buss SR, Kim JS (2005) Selectively damped least squares for inverse kinematics. Journal of Graphics Tools 10: 37-49. View
12. Martinetz TM, Ritter HJ, Schulten KJ (1990) Three-dimensional neural net for learning visuomotor coordination of a robot arm. IEEE Trans on Neural Networks 1: 131-136. View
13. Walter J, Schulten K (1993) Implementation of self-organizing neural networks for visuo-motor control of an industrial robot. IEEE Trans Neural Netw 4: 86-96. View
14. Behera L, Gopal M, Chaudhury S (1995) Self-organizing neural networks for learning inverse dynamics of robot manipulator. IEEE/IAS International Conference on Industrial Automation and Control, pp 457-460. View
15. Araujo A, Vieira M (1998) Associative memory used for trajectory generation and inverse kinematics problem. IEEE International Joint Conference on Neural Networks 3: 2057-2062. View
16. Behera L, Kirubanandan N (1999) A hybrid neural control scheme for visual-motor coordination. IEEE Control Systems 19: 34-41. View
17. Kumar N, Behera L (2004) Visual–motor coordination using a quantum clustering based neural control scheme. Neural processing letters 20: 11- 22. View
18. de Angulo VR, Torras C (2005) Using PSOMs to Learn Inverse Kinematics Through Virtual Decomposition of the Robot. International Work- Conference on Artificial Neural Networks 3512: 701-708. View
19. Shen W, Gu J, Milios E (2006) Self-configuration fuzzy system for inverse kinematics of robot manipulators, Annual meeting of the North American Fuzzy Information Processing Society, pp. 41-45. View
20. Kar I, Betha l (2010) Visual motor control of a 7 DOF robot manipulator using a fuzzy SOM network. Intelligent Service Robotics. 3: 49. View
21. Tarokh M (2007) Real time forward kinematics solutions for general Stewart platforms. in IEEE International Conference on Robotics and Automation, pp.901-906. View
22. Jiang L, Sun D, Liu H (2009) An inverse-kinematic stable-based solution of a humanoid robot finger with nonlinearly coupled joints. IEEE/ASME Transactions on Mechatronics 14: 273-281.
23. Halfar H (2013) General purpose inverse kinematics using lookup-tables. IEEE International Conference in Industrial Technology, pp. 69-75. View
24. Kucuk S, Bingul Z (2006) Robot kinematics: forward and inverse kinematics, Industrial Robotics: Theory, Modelling, and Control. pp. 117-148. View
25. Kohonen T (1989) Self-Organization and Associative Memory, 3rd edn, New York, Berlin: Springer-Verlag.
26. Kohonen T (1995) Self-Organization Maps, Springer-Verlag.
27. Langevin G, InMoov. View
28. Denavit J, Hartenberg RS (1955) A kinematic notation for lower-pair mechanisms based on matrices. Journal of Applied Mechanics 22: 215- 221. View