Genetic Programming-Based Inverse Kinematics for Robotic Manipulators

Author:

Reuter JuliaORCID,Steup ChristophORCID,Mostaghim SanazORCID

Publisher

Springer International Publishing

Reference26 articles.

1. Almusawi, A.R., Dülger, L.C., Kapucu, S.: A new artificial neural network approach in solving inverse kinematics of robotic arm (Denso vp6242). Comput. Intell. Neurosci. 2016 (2016)

2. Aristidou, A., Lasenby, J., Chrysanthou, Y., Shamir, A.: Inverse kinematics techniques in computer graphics: a survey. Comput. Graph. Forum 37(6), 35–58 (2018)

3. Chapelle, F., Bidaud, P.: A closed form for inverse kinematics approximation of general 6R manipulators using genetic programming. In: IEEE International Conference on Robotics and Automation, vol. 4, pp. 3364–3369 (2001)

4. Chapelle, F., Bidaud, P.: Closed form solutions for inverse kinematics approximation of general 6r manipulators. Mech. Mach. Theory 39(3), 323–338 (2004)

5. Craig, J.J.: Introduction to Robotics: Mechanics and Control. Pearson Education Inc., 3rd edn. (1989)

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1. Evolutionary Machine Learning in Robotics;Handbook of Evolutionary Machine Learning;2023-11-02

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