A journal of IEEE and CAA , publishes
high-quality papers in English on original
theoretical/experimental research
and development in all areas of automation
IEEE/CAA Journal of Automatica Sinica
| 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, 2026. doi: 10.1109/JAS.2026.125759
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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
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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., early access, May. 21, 2025, doi: 10.1109/TIE.2025.3566731.
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J. Li, Y. Cao, Z. Xie, and L. Jin, “A k-winners-take-all ( $k\text{WTA}$) 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., In Press With DOI: 10.1109/TIE.2025.3548995.
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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. 2020.
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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
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M. Liu, J. Yan, and R. Huang, Dynamic Neural Networks for Motion Control of Redundant Manipulators. Singapore: Springer, 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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