Adaptive Position/Force Control of a Robotic Manipulator in Contact with a Flexible and Uncertain Environment
暂无分享,去创建一个
[1] Laurent Dubourg,et al. Impact & improvement of tool deviation in friction stir welding , 2016 .
[2] Carlos Perez-Vidal,et al. Adaptive Sliding Mode Control for Robotic Surface Treatment Using Force Feedback , 2018, Mechatronics.
[3] Dahu Zhu,et al. On energetic assessment of cutting mechanisms in robot-assisted belt grinding of titanium alloys , 2015 .
[4] Nuno Mendes,et al. Indirect adaptive fuzzy control for industrial robots: A solution for contact applications , 2015, Expert Syst. Appl..
[5] Piotr Gierlak. Hybrid Position/Force Control of the SCORBOT-ER 4pc Manipulator with Neural Compensation of Nonlinearities , 2012, ICAISC.
[6] K. Narendra,et al. A new adaptive law for robust adaptation without persistent excitation , 1987 .
[7] Wang Lei,et al. Fuzzy force control of constrained robot manipulators based on impedance model in an unknown environment , 2005 .
[8] A. Burghardt,et al. Experimental Study of Inconel 718 Surface Treatment by Edge Robotic Deburring with Force Control , 2017, Strength of Materials.
[9] Piotr Gierlak. Combined strategy for control of interaction force between manipulator and flexible environment , 2018 .
[10] Piotr Gierlak,et al. Adaptive position/force control for robot manipulator in contact with a flexible environment , 2017, Robotics Auton. Syst..
[11] Dong Il Park,et al. Assembly process monitoring algorithm using force data and deformation data , 2019, Robotics and Computer-Integrated Manufacturing.
[12] Yahui Gan,et al. Adaptive variable impedance control for dynamic contact force tracking in uncertain environment , 2018, Robotics Auton. Syst..
[13] Miomir Vukobratović,et al. How to Apply Hybrid Position/Force Control to Robots Interacting with Dynamic Environment , 2002 .
[14] Nuno Mendes,et al. Machines and control systems for friction stir welding: A review , 2016 .
[15] Farid Ferguene,et al. Dynamic External Force Feedback Loop Control of a Robot Manipulator Using a Neural Compensator—Application to the Trajectory Following in an Unknown Environment , 2009, Int. J. Appl. Math. Comput. Sci..
[16] Antonella Ferrara,et al. Trajectory Planning and Second-Order Sliding Mode Motion/Interaction Control for Robot Manipulators in Unknown Environments , 2012, IEEE Transactions on Industrial Electronics.
[17] Berend Denkena,et al. Design and optimization of a machining robot , 2017 .
[18] Franz Dietrich,et al. Application of artificial neural networks in force-controlled automated assembly of complex shaped deformable components , 2019, Procedia CIRP.
[19] Mohammad Farrokhi,et al. Robust adaptive neuro-fuzzy controller for hybrid position/force control of robot manipulators in contact with unknown environment , 2006, J. Intell. Fuzzy Syst..
[20] Piotr Gierlak. Hybrid Position/Force Control in Robotised Machining , 2013 .
[21] Marco A. Arteaga,et al. Adaptive position/force control for robot manipulators in contact with a rigid surface with unknown parameters , 2015, 2015 European Control Conference (ECC).
[22] Miguel Ángel Sebastián,et al. Overview of the State of Robotic Machining: Current Situation and Future Potential , 2015 .
[23] Frank L. Lewis,et al. Neural net robot controller with guaranteed tracking performance , 1995, IEEE Trans. Neural Networks.
[24] Esmaeel Khanmirza,et al. Hybrid force/position control of robotic arms manipulating in uncertain environments based on adaptive fuzzy sliding mode control , 2018, Appl. Soft Comput..
[25] Piotr Gierlak. Position/Force Control of Manipulator in Contact with Flexible Environment , 2019 .
[26] Alexander Czinki,et al. High performance force control - A new approach and suggested benchmark tests , 2015 .
[27] Fengjie Tian,et al. Modeling and control of robotic automatic polishing for curved surfaces , 2016 .
[28] Aghil Jafari,et al. Independent force and position control for cooperating manipulators handling an unknown object and interacting with an unknown environment , 2016, J. Frankl. Inst..