{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T15:46:12Z","timestamp":1774539972977,"version":"3.50.1"},"reference-count":21,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2023,6,19]],"date-time":"2023-06-19T00:00:00Z","timestamp":1687132800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Advanced intelligent control (AIC) is a rapidly evolving and complex field that poses significant challenges [...]<\/jats:p>","DOI":"10.3390\/s23125699","type":"journal-article","created":{"date-parts":[[2023,6,19]],"date-time":"2023-06-19T02:29:19Z","timestamp":1687141759000},"page":"5699","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Advanced Intelligent Control in Robots"],"prefix":"10.3390","volume":"23","author":[{"given":"Luige","family":"Vladareanu","sequence":"first","affiliation":[{"name":"Institute of Solid Mechanics of the Romanian Academy, 010141 Bucharest, Romania"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongnian","family":"Yu","sequence":"additional","affiliation":[{"name":"The School of Computing, Engineering and the Built Environment, Edinburgh Napier University, Edinburgh EH11 4BN, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongbo","family":"Wang","sequence":"additional","affiliation":[{"name":"Academy for Engineering and Technology, Fudan University, Shanghai 200433, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongfei","family":"Feng","sequence":"additional","affiliation":[{"name":"Faculty of Mechanical Engineering & Mechanics, Ningbo University, Ningbo 315211, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,6,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Deng, M., Kubota, S., and Xu, Y. (2022). Nonlinear Intelligent Control of Two Link Robot Arm by Considering Human Voluntary Components. Sensors, 22.","DOI":"10.3390\/s22041424"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Zhang, X., and Bradley, J. (2022). Rethinking Sampled-Data Control for Unmanned Aircraft Systems. Sensors, 22.","DOI":"10.3390\/s22041525"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Alsaade, F.W., Yao, Q., Al-zahrani, M.S., Alzahrani, A.S., and Jahanshahi, H. (2022). Indirect-Neural-Approximation-Based Fault-Tolerant Integrated Attitude and Position Control of Spacecraft Proximity Operations. Sensors, 22.","DOI":"10.3390\/s22051726"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Qadeer, N., Shah, J.H., Sharif, M., Khan, M.A., Muhammad, G., and Zhang, Y.-D. (2022). Intelligent Tracking of Mechanically Thrown Objects by Industrial Catching Robot for Automated In-Plant Logistics 4.0. Sensors, 22.","DOI":"10.3390\/s22062113"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Munir, M., Khan, Q., Ullah, S., Syeda, T.M., and Algethami, A.A. (2022). Control Design for Uncertain Higher-Order Networked Nonlinear Systems via an Arbitrary Order Finite-Time Sliding Mode Control Law. Sensors, 22.","DOI":"10.3390\/s22072748"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Gal, I.-A., Cioc\u00eerlan, A.-C., and Vl\u0103d\u0103reanu, L. (2022). The Hybrid Position\/Force Walking Robot Control Using Extenics Theory and Neutrosophic Logic Decision. Sensors, 22.","DOI":"10.3390\/s22103663"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"He, J., Sun, Y., Yang, L., and Gao, F. (2022). Model Predictive Control of a Novel Wheeled\u2013Legged Planetary Rover for Trajectory Tracking. Sensors, 22.","DOI":"10.3390\/s22114164"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Li, Q., Xu, Y., Bu, S., and Yang, J. (2022). Smart Vehicle Path Planning Based on Modified PRM Algorithm. Sensors, 22.","DOI":"10.3390\/s22176581"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Lin, M., Wang, H., Yang, C., Liu, W., Niu, J., and Vladareanu, L. (2022). Human\u2013Robot Cooperative Strength Training Based on Robust Admittance Control Strategy. Sensors, 22.","DOI":"10.3390\/s22207746"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Tian, J., Wang, H., Zheng, S., Ning, Y., Zhang, X., Niu, J., and Vladareanu, L. (2022). sEMG-Based Gain-Tuned Compliance Control for the Lower Limb Rehabilitation Robot during Passive Training. Sensors, 22.","DOI":"10.3390\/s22207890"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Feng, Y., Zhong, M., and Dong, F. (2022). Research on Monocular-Vision-Based Finger-Joint-Angle-Measurement System. Sensors, 22.","DOI":"10.3390\/s22197276"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Kim, T., Kim, M., Yang, S., and Kim, D. (2022). Navigation Path Based Universal Mobile Manipulator Integrated Controller (NUMMIC). Sensors, 22.","DOI":"10.3390\/s22197369"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"So, M.S., Seo, G.J., Kim, D.B., and Shin, J.-H. (2022). Prediction of Metal Additively Manufactured Surface Roughness Using Deep Neural Network. Sensors, 22.","DOI":"10.3390\/s22207955"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Ning, M., Yang, J., Zhang, Z., Li, J., Wang, Z., Wei, L., and Feng, P. (2022). Method of Changing Running Direction of Cheetah-Inspired Quadruped Robot. Sensors, 22.","DOI":"10.3390\/s22249601"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Wu, D., Yu, Z., Adili, A., and Zhao, F. (2023). A Self-Collision Detection Algorithm of a Dual-Manipulator System Based on GJK and Deep Learning. Sensors, 23.","DOI":"10.3390\/s23010523"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Chiurazzi, M., Alcaide, J.O., Diodato, A., Menciassi, A., and Ciuti, G. (2023). Spherical Wrist Manipulator Local Planner for Redundant Tasks in Collaborative Environments. Sensors, 23.","DOI":"10.3390\/s23020677"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Abagiu, M.M., Cojocaru, D., Manta, F., and Mariniuc, A. (2023). Detecting Machining Defects inside Engine Piston Chamber with Computer Vision and Machine Learning. Sensors, 23.","DOI":"10.3390\/s23020785"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Wojtowicz, K., and Wojciechowski, P. (2023). Synchronous Control of a Group of Flying Robots Following a Leader UAV in an Unfamiliar Environment. Sensors, 23.","DOI":"10.3390\/s23020740"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Stamate, M.-A., Pup\u0103z\u0103, C., Nicolescu, F.-A., and Moldoveanu, C.-E. (2023). Improvement of Hexacopter UAVs Attitude Parameters Employing Control and Decision Support Systems. Sensors, 23.","DOI":"10.3390\/s23031446"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Elbagoury, B.M., Vladareanu, L., Vl\u0103d\u0103reanu, V., Salem, A.B., Travediu, A.-M., and Roushdy, M.I. (2023). A Hybrid Stacked CNN and Residual Feedback GMDH-LSTM Deep Learning Model for Stroke Prediction Applied on Mobile AI Smart Hospital Platform. Sensors, 23.","DOI":"10.3390\/s23073500"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Wong, C.-C., Chen, C.-J., Wong, K.-Y., and Feng, H.-M. (2023). Implementation of a Real-Time Object Pick-and-Place System Based on a Changing Strategy for Rapidly-Exploring Random Tree. Sensors, 23.","DOI":"10.3390\/s23104814"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/12\/5699\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T19:56:06Z","timestamp":1760126166000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/12\/5699"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,19]]},"references-count":21,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2023,6]]}},"alternative-id":["s23125699"],"URL":"https:\/\/doi.org\/10.3390\/s23125699","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6,19]]}}}