References
- 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
- 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
- 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
- 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
- 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
- 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
- Wen shuang-quan, “Multi-fingered Robotic Hand Grasp Planning”, Doctor of Engineering thesis, Zhejiang University, China, July 2012
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Alkkiomaki, O.,Kyrki, V., Kalviainen, H, “Online trajectory following with position based force/vision control”, International Conference on Advanced Robotics, 2009, pp. 1-6
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Qiao Bing, “Intelligent robot active position/force learning control research”, Doctor of Engineering thesis, Nanjing University of Aeronautics & Astronautics, China, July 1999.