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Sehun Kim, Jong-Phil Kim, Jeha Ryu, “Adaptive Energy-Bounding Approach for Robustly Stable Interaction Control of Impedance-Controlled Industrial Robot With Uncertain Environments”, IEEE/ASME Transactions on Mechatronics, Vol. 19, no. 4, 2014, pp. 1195-1205.10.1109/TMECH.2013.2276935 Search in Google Scholar

Liu, Hongli, Tang, Yufeng, Zhu, Qixin, Xie, Guangming, “Present research situations and future prospects on biomimetic robot fish”, International Journal on Smart Sensing and Intelligent Systems, Vol. 7, no, 2, 2014, pp. 458-480.10.21307/ijssis-2017-665 Search in Google Scholar

Wei-Chen Wang, Ching-Hung Lee, “Fuzzy Neural Network-based Adaptive Impedance Force Control Design of Robot Manipulator under Unknown Environment”, IEEE International Conference on Fuzzy Systems,2014,pp.1442-144810.1109/FUZZ-IEEE.2014.6891669 Search in Google Scholar

Xu Dong, Zhang Shaoguang, Li Xuerong, Liu Min, Wei Hongxing, “Impedance Control of Robot Manipulator with Model Reference Torque Observer”, IEEE Conference on Industrial Electronics and Applications,2013,pp.994-99810.1109/ICIEA.2013.6566512 Search in Google Scholar

Mustafa Suphi Erden, Aude Billard, “End-point Impedance Measurements at Human Hand during Interactive Manual Welding with Robot”, IEEE International Conference on Robotics & Automation,2014,pp.126-133 Search in Google Scholar

Toshio TSuji,Makoto Kaneko, “Noncontact impedance control for redundant manipulators”, IEEE Transactions on Systems,Man,and Cybemetics, Vol. 29, no. 2, 1999, pp. 184-19310.1109/3468.747853 Search in Google Scholar

Wen shuang-quan, “Multi-fingered Robotic Hand Grasp Planning”, Doctor of Engineering thesis, Zhejiang University, China, July 2012 Search in Google Scholar

Hosoda, K, Igarashi, K,Asada, M, “Adaptive hybrid control for visual and force servoing in an unknown environment”, Robotics & Automation Magazine, Vol. 5, no. 4, 1998, pp. 39-4310.1109/100.740464 Search in Google Scholar

Vincenzo Lippiello, Bruno Siciliano, Luigi Villani, “Robot Interaction Control Using Force and Vision”, International Conference on Intelligent Robots and Systems, 2006, pp. 1470-147510.1109/IROS.2006.281974 Search in Google Scholar

Ruben Smits, Herman Bruyninckx, Wim Meeussen, “Model Based Position–Force–Vision Sensor Fusion for Robot Compliant Motion Control”, IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2006, pp. 501-50610.1109/MFI.2006.265636 Search in Google Scholar

Y. Zhao,C. C. Cheah, J.J.E. Slotine, “Adaptive Vision and Force Tracking Control of Constrained Structural Uncertainties”, IEEE International Conference on Robotics and Automation, 2007, pp. 2349-235410.1109/ROBOT.2007.363670 Search in Google Scholar

J. POMARES, G. J. GARCÍA, L. PAYÁ, F, “Adaptive visual servoing and force control fusion to track surfaces”, WSEAS Transactions on Systems, Vol. 5, no. 1, 2006, pp. 25-32 Search in Google Scholar

Antonio C. Leite, Fernando Lizarralde, Liu Hsu, “Hybrid Vision-Force Robot Control for Tasks on Unknown Smooth Surfaces”, IEEE International Conference on Robotics and Automation, 2006, pp. 2244-2249 Search in Google Scholar

Hui Zhang, Heping Chen, “On-Line Path Generation for Robotic Deburring of Cast Aluminum Wheels”, International Conference on Intelligent Robots and Systems, 2006, pp. 2400-240510.1109/IROS.2006.281679 Search in Google Scholar

Nobutaka Tsujiuchi, Takayuki Koizumi, Masashi Hashimoto, “Contact Task with an Unknown Inclined Plane”, IEEE International Conference on Robotics and Biomimetics, 2007, pp. 1440-144510.1109/ROBIO.2007.4522376 Search in Google Scholar

Sang-Wook Jeon, Doo-Sung Ahn, Hyo-Jeong Bae, “Object Contour Following Task based on Integrated Information of Vision and Force sensor”, International Conference on Control, Automation and Systems, 2007, pp. 1040-104510.1109/ICCAS.2007.4407051 Search in Google Scholar

Alkkiomaki, O.,Kyrki, V., Kalviainen, H, “Online trajectory following with position based force/vision control”, International Conference on Advanced Robotics, 2009, pp. 1-6 Search in Google Scholar

Isela Bonilla, Emilio J. Gonz’alez-Galv’an, C’esar Ch’avez-Olivares, Marco Mendoza, “A Vision-based, Impedance Control Strategy for Industrial Robot Manipulators”, IEEE Conference on Automation Science and Engineering, 2010, pp. 216-22110.1109/COASE.2010.5584481 Search in Google Scholar

QIU Lian-kui, ZHANG Yan-xia, “Robot Manipulator Curve Tracking in an Uncertain Plane Based on Force and Vision Sensing”, Fire Control & Command Control, Vol. 38, no. 9, 2013, pp. 42-45 Search in Google Scholar

LI Er-chao,LI Wei, “Hybrid force/position control for positional controlled roboticmanipulators in unknown environment”, Journal of China Coal Society, Vol. 32, no. 6, 2007, pp. 657-661 Search in Google Scholar

Nelson,B.J, Morrow, J.D, Khosla, P.K, “Fast stable contact transitions with a stiff manipulator using force and vision feedback”, IEEE/RSJ International Conference on Intelligent Robots and Systems,1995, pp. 90-95 Search in Google Scholar

JA Piepmeier, GV Mcmurray, H Lipkin, “Uncalibrated dynamic visual servoing”, IEEE Transactions on Robotics & Automation, Vol. 20, no. 1, 2004, pp. 143-14710.1109/TRA.2003.820923 Search in Google Scholar

BH Yoshimi, PK Allen, “Alignment Using An Uncalibrated Camera System”, IEEE Transactions on Robotics & Automation, Vol. 11, no. 4, 1995, pp. 516-52110.1109/70.406936 Search in Google Scholar

LI You-xin, MAO Zong-yuan, TIAN Lian-fang, “Visual servoing of 4DOF using image moments and neural network”, Control Theory & Applications, Vol. 26, no. 10, 2009, pp. 11621166 Search in Google Scholar

Li He-xi, Shi Yong-hua, Wang Guo-rong, “Visual Guidance of Welding Robot Using SVR-Jacobian Estimator”, Journal of South China University of Technology(Natural Science Edition), Vol. 41, no. 7, 2013, pp. 19-25 Search in Google Scholar

Li Erchao, Li Zhanming, Li Wei, “Robotic Fuzzy Adaptive Impedance Control Based on Neural Network Visual Servoing”, Transactions of China Electrotechnical Society, Vol. 26, no. 4, 2011, pp. 40-43 Search in Google Scholar

XIN Jing, LIU Ding, XU Qing-kun, “LS-SVR-based uncalibrated 4DOF visual positioning of robot”, Control Theory & Applications, Vol. 27, no. 1, 2010, pp. 77-85 Search in Google Scholar

Xiao,N.F, “Learning-Based Visual and Force Servoing Control of a Robot in an Unknown Environment”, System Engineering and Electronic Technology, Vol. 15, no. 2, 2004, pp. 171-178 Search in Google Scholar

Tsuji T,Tanaka Y, “On-line learning of robot arm impedance using neural networks”, Robotics and Autonomous Systems, Vol. 52, no. 4, 2005, pp. 257-27110.1016/j.robot.2005.06.005 Search in Google Scholar

Wim Meeussen, Ernesto Staffetti, Herman Bruyninckx, “Integration of planning and execution in force controlled compliant motion”, Robotics and Autonomous Systems, Vol. 56, no. 5, 2008, pp. 437-45010.1016/j.robot.2007.09.009 Search in Google Scholar

Qiao Bing, “Intelligent robot active position/force learning control research”, Doctor of Engineering thesis, Nanjing University of Aeronautics & Astronautics, China, July 1999. Search in Google Scholar

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