Articles | Volume 12, issue 1
https://doi.org/10.5194/ms-12-221-2021
https://doi.org/10.5194/ms-12-221-2021
Research article
 | 
25 Feb 2021
Research article |  | 25 Feb 2021

A real-time inverse kinematics solution based on joint perturbation for redundant manipulators

Qinhuan Xu and Qiang Zhan

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Subject: Mechanisms and Robotics | Techniques and Approaches: Mathematical Modeling and Analysis
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Cited articles

Akbaripour, H. and Masehian, E.: Semi-lazy probabilistic roadmap: a parameter-tuned, resilient and robust path planning method for manipulator robots, Int. J. Adv. Manuf. Technol, 89, 1401–1430, https://doi.org/10.1007/s00170-016-9074-6, 2017. 
Aouache, M., Maoudj, A., and Akli, I.: Human-robot interaction in industrial collaborative robotics: a literature review of the decade 2008–2017, Adv. Robotics, 33, 764–799, https://doi.org/10.1080/01691864.2019.1636714, 2019. 
Ayusawa, K. and Nakamura, Y.: Fast inverse kinematics algorithm for large DOF system with decomposed gradient computation based on recursive formulation of equilibrium, in: Proc. IROS, Vilamoura, Portugal, 3447–3452, https://doi.org/10.1109/IROS.2012.6385780, 2012. 
Damas, B. J. and Santos, V.: An online algorithm for simultaneously learning forward and inverse kinematics, in: Proc. IROS, Vilamoura, Portugal, 1499–1506, https://doi.org/10.1109/IROS.2012.6386156, 2012. 
Dasgupta, B., Gupta, A., and Singla, E.: A variational approach to path planning for hyper-redundant manipulators, Robot. Auto. Syst., 2, 194–201, https://doi.org/10.1016/j.robot.2008.05.001, 2009.