Analysis of robotic calligraphy copying techniques based on linear regression models

[1] Pedersen M R, Nalpantidis L, Andersen R S, et al. (2016). Robot skills for manufacturing: From concept to industrial deployment. Robotics and Computer-Integrated Manufacturing, 282-291. Search in Google Scholar

[2] Jan, Mehrholz, Marcus. (2018). Electromechanical and robot-assisted arm training for improving activities of daily living, arm function, and arm muscle strength after stroke. The Cochrane database of systematic reviews, CD006876. Search in Google Scholar

[3] Haoran, Yu, Jin-Hui, et al. (2015). Evaluation of microsurgical tasks with OCT-guided and/or robot-assisted ophthalmic forceps. Biomedical optics express, 457-472. Search in Google Scholar

[4] Wang, SE, Daskalaki, et al. (2016). Impact of Obesity on Robot-Assisted Distal Pancreatectomy. J LAPAROENDOSC ADV S, 1271-1278. Search in Google Scholar

[5] Giuseppe A, Joel D, Tom R, et al. (2022). Preclinical evaluation of Versius, an innovative device for use in robot-assisted thoracic surgery. European Journal of Cardio-Thoracic Surgery, 3 (3), ezac178-ezac178. Search in Google Scholar

[6] Pan Y H, University Z, Engineering C. (2017). Special issue on artificial intelligence 2.0. Frontiers of Information Technology & Electronic Engineering, 1-2. Search in Google Scholar

[7] Poo M M. (2018). Towards brain-inspired artificial intelligence. National Science Review, 785-785. Search in Google Scholar

[8] Patrizia, Ferroni, Mario, et al. (2018). Artificial intelligence for cancer-associated thrombosis risk assessment. Lancet Haematology, e391-e392. Search in Google Scholar

[9] Saraiva M J M, Macedo G, Ribeiro T, et al. (2022). ARTIFICIAL INTELLIGENCE AND CAPSULE ENDOSCOPY: AUTOMATIC CLASSIFICATION OF SMALL BOWEL PREPARATION USING A CONVOLUTIONAL NEURAL NETWORK. Endoscopy, 54 (S 01), 331-338. Search in Google Scholar

[10] Kinoshita F, Okamoto T, Yamashita T, et al. (2022). Artificial intelligence-derived gut microbiome as a predictive biomarker for therapeutic response to immunotherapy in lung cancer: protocol for a multicentre, prospective, observational study. BMJ Open, 12(6), 1823-1833. Search in Google Scholar

[11] Ragaglia M, Zanchettin R M, Bascetta L, et al. (2016). Accurate sensorless lead-through programming for lightweight robots in structured environments. Robotics and Computer-Integrated Manufacturing, 9-21. Search in Google Scholar

[12] Z Guo, W Yang, LI Minglong. (2018). ALLIANCE-ROS: A Software Framework on ROS for Fault-Tolerant and Cooperative Mobile Robots. Chinese Journal of Electronics, 467-475. Search in Google Scholar

[13] Stenmark M, Malec J. (2015). Knowledge-based instruction of manipulation tasks for industrial robotics. Robotics and Computer-Integrated Manufacturing, 56-67. Search in Google Scholar

[14] Martin T, Hage G E, Bojanowski M W. P.165 Using artificial intelligence to quantify dynamic retraction of brain tissue and the manipulation of instruments in neurosurgery[J]. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques, 2022, 49(s1): PP S50-S51 Search in Google Scholar

[15] J, Keiko, McCreary, et al. Environmental Intervention as a Therapy for Adverse Programming by Ancestral Stress.[J]. Scientific Reports, 2016PP 37814 Search in Google Scholar

[16] Coker E, Aharoni M M H, Krasovsky T, et al. Postural Control under Cognitive Load: Evidence of Increased Automaticity Revealed by Center-of-Pressure and Head Kinematics[J]. Journal of Motor Behavior, 2022, 54(4): PP 466-479. Search in Google Scholar

[17] H Li, K Kawashima. Bilateral teleoperation with delayed force feedback using time domain passivity controller[J]. Robotics and Computer-Integrated Manufacturing, 2016. PP 188-196 Search in Google Scholar

[18] Wei F, Paassen M, Abbink D A, et al. Framework for Human Haptic Perception With Delayed Force Feedback[J]. IEEE Transactions on Human-Machine Systems, 2018. PP 171-182 Search in Google Scholar

[19] Weiss H, Hernandez Y, Kim K H, et al. 3D virtual fit assessment and modeling: liquid cooling and ventilation garment[J]. International Journal of Clothing Science and Technology, 2022, 34(3): PP 301-314. Search in Google Scholar

[20] Antonio, Ulloa, Barry, et al. The Virtual Brain%brain%computational modeling%fMRI%human%neural networks%visual object processing[J]. Frontiers in neuroinformatics, 2016, 10: PP 32-32. Search in Google Scholar

[21] JLG Corrêa, Ernesto D B, KSD Mendonça. Pulsed vacuum osmotic dehydration of tomatoes: Sodium incorporation reduction and kinetics modeling[J]. LWT - Food Science and Technology, 2016. PP 17-24 Search in Google Scholar

[22] Saxena P, Kothari A. Ant Lion Optimization algorithm to control side lobe level and null depths in linear antenna arrays[J]. AEU - International Journal of Electronics and Communications, 2016. PP 1339-1349 Search in Google Scholar

[23] Zhang C, Li X, Hao J, et al. SA-IGA[J]. Autonomous Agents and Multi-Agent Systems, 2019. PP 403-429 Search in Google Scholar

[24] Jan, Mehrholz, Marcus,. Electromechanical and robot-assisted arm training for improving activities of daily living, arm function, and arm muscle strength after stroke.[J]. The Cochrane database of systematic reviews, 2018.PP CD006876 Search in Google Scholar

[25] Shaw J A, Daescu D N. Sensitivity of the Model Error Parameter Specification in Weak-Constraint Four-Dimensional Variational Data Assimilation[J]. Journal of Computational Physics, 2017, PP115-129. Search in Google Scholar