A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Volume 13 Issue 10
Oct.  2026

IEEE/CAA Journal of Automatica Sinica

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Article Contents
Z. Song, W. Chen, and H. Cao, “Adaptive dynamic trade-off optimization between manipulability and sparsity for redundant manipulators,” IEEE/CAA J. Autom. Sinica, vol. 13, no. 10, pp. 2423–2425, Oct. 2026. doi: 10.1109/JAS.2026.125759
Citation: Z. Song, W. Chen, and H. Cao, “Adaptive dynamic trade-off optimization between manipulability and sparsity for redundant manipulators,” IEEE/CAA J. Autom. Sinica, vol. 13, no. 10, pp. 2423–2425, Oct. 2026. doi: 10.1109/JAS.2026.125759

Adaptive Dynamic Trade-Off Optimization Between Manipulability and Sparsity for Redundant Manipulators

doi: 10.1109/JAS.2026.125759
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  • [1]
    Z. Sun, S. Tang, J. Zhang, and J. Yu, “Nonconvex noise-tolerant neural model for repetitive motion of omnidirectional mobile manipulators,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 8, pp. 1766−1768, Aug. 2023. doi: 10.1109/JAS.2023.123273
    [2]
    H. Huang, L. Jin, and Z. Zeng, “A momentum recurrent neural network for sparse motion planning of redundant manipulators with majorization-minimization,” IEEE Trans. Ind. Electron., vol. 72, no. 12, pp. 13532−13541, Dec. 2025.
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    J. Li, Y. Cao, Z. Xie, and L. Jin, “A k-winners-take-all (kWTA) network with noise characteristics captured,” IEEE/CAA J. Autom. Sinica, vol. 12, no. 4, pp. 734−744, Apr. 2025. doi: 10.1109/JAS.2025.125153
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    X. Zhang, Z. Zhang, D. Guo, W. Zhang, W. Li, and S. Li, “New kinematic control scheme for redundant robotic manipulators perturbed by harmonic noise,” IEEE Trans. Ind. Electron., vol. 72, no. 10, pp. 10370−10379, Oct. 2025.
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    X. Yang, Z. Zhao, Z. Tian, Y. Li, J. Zhao, and H. Liu, “Predefined-time robust kinematic control of redundant manipulators,” IEEE Trans. Ind. Electron., vol. 72, no. 9, pp. 9344−9353, Sep. 2025. doi: 10.1109/TIE.2025.3544206
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    L. Jin, J. Zhang, X. Luo, M. Liu, S. Li, L. Xiao, and Z. Yang, “Perturbed manipulability optimization in a distributed network of redundant robots,” IEEE Trans. Ind. Electron., vol. 68, no. 8, pp. 7209−7220, Aug. 2021.
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    L. Jin, J. Zhao, L. Chen, and S. Li, “Collective neural dynamics for sparse motion planning of redundant manipulators without Hessian matrix inversion,” IEEE Trans. Neural Netw. Learn. Syst., vol. 36, no. 3, pp. 4326−4335, Mar. 2025. doi: 10.1109/TNNLS.2024.3363241
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    X. Du, S. Zhou, and A. P. Schoellig, “Hierarchical task model predictive control for sequential mobile manipulation tasks,” IEEE Robot. Autom. Lett., vol. 9, no. 2, pp. 1270−1277, Feb. 2024. doi: 10.1109/LRA.2023.3342671
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    Y. Wang, Y. Liu, M. Leibold, M. Buss, and J. Lee, “Hierarchical incremental MPC for redundant robots: a robust and singularity-free approach,” IEEE Trans. Robot., vol. 40, pp. 2128−2148, Aug. 2024. doi: 10.1109/TRO.2024.3370049
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    X. Yang, Z. Zhao, B. Ma, Z. Xu, J. Zhao, and H. Liu, “Kinematic and dynamic manipulability optimizations of redundant manipulators based on RNN model,” IEEE Trans. Ind. Informat., vol. 20, no. 4, pp. 5763−5773, Apr. 2024. doi: 10.1109/TII.2023.3334305
    [11]
    M. Liu, J. Yan, and R. Huang, Dynamic Neural Networks for Motion Control of Redundant Manipulators. Singapore: Springer Nature Singapore, 2025.
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    J. Fan, L. Jin, P. Li, J. Liu, Z.-G. Wu, and W. Chen, “Coevolutionary neural dynamics considering multiple strategies for nonconvex optimization,” Tsinghua Sci. Technol., 2025, doi: 10.26599/TST.2025.9010120.

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