Wave Correction Scheme for Task Space Control of Time-Varying Delayed Teleoperation Systems

2018 ◽  
Vol 26 (6) ◽  
pp. 2223-2231 ◽  
Author(s):  
Phongsaen Pitakwatchara
Robotica ◽  
2014 ◽  
Vol 33 (10) ◽  
pp. 2065-2082 ◽  
Author(s):  
Yen-Chen Liu

SUMMARYThis paper proposes control algorithms for heterogeneous teleoperation systems to guarantee stability and tracking performance in the presence of time-varying communication delays. Because robotic manipulators, in most applications of bilateral teleoperation systems, interact with a human operator and remote environment on the end-effector, the control system is developed in the task-space. When the dynamic parameters of the robots are unknown and the communication network is subject to time-varying delay, the developed controller can ensure stability and task-space position tracking. Additionally, if the robotic systems are influenced by human and environmental forces, the presented teleoperation control system is demonstrated to be stable and all signals are proven to be ultimately bounded. By employing the redundancy of the slave robot for sub-task control, the proposed teleoperation system can autonomously achieve additional missions in the remote environment. Numerical examples utilizing a redundant planar robot are addressed to validate the proposed task-space teleoperators with time-varying delay.


Mechatronics ◽  
2019 ◽  
Vol 62 ◽  
pp. 102255 ◽  
Author(s):  
Amir Zakerimanesh ◽  
Farzad Hashemzadeh ◽  
Ali Torabi ◽  
Mahdi Tavakoli

Robotica ◽  
2011 ◽  
Vol 30 (5) ◽  
pp. 743-753 ◽  
Author(s):  
Soo Jeon

SUMMARYAutonomous operation of mechanical systems often requires the ability to detect and locate a particular phenomenon occurring in the surrounding environment. Being implemented to articulated manipulation, such a capability may realize a wide range of applications in autonomous maintenance and repair. This paper presents the sensor-driven task space control of an end-effector that combines the field estimation and the target tracking in an unknown spatial field of interest. The radial basis function network is adopted to model spatial distribution of an environmental phenomenon as a scalar field. Their weight parameters are estimated by a recursive least square method using collective measurements from the on-board sensors mounted to the manipulator. Then the asymptotic source tracking has been achieved by the control law based on the gradient of the estimated field. A new singularity tolerant scheme has been suggested to command the task space control law despite singular configurations. Simulation results using the three-link planar robot and the 6-revolute elbow manipulator are presented to validate the main ideas.


2018 ◽  
Vol 93 (6) ◽  
pp. 1328-1344 ◽  
Author(s):  
Amir Zakerimanesh ◽  
Farzad Hashemzadeh ◽  
Mahdi Tavakoli

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