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To demonstrate and validate our approach, a planar three-bar manipulator is tested with the proposed algorithm; the boundaries of the manipulator's collision-free reachable workspaces are calculated and compared with the results of the manipulator's reachable workspaces.
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The proposed solution is tested on two manipulators: a 7 degree-of-freedom (DOF) planar manipulator and a 7 degree-of-freedom spatial manipulator both moving in a cluttered environment.
The control structure is tested on a 6 degrees-of-freedom underwater manipulator interacting with the underwater environment.
The control scheme is tested in different trajectory-tracking scenarios: (i) a manipulator installed on a ship operating in a high-sea state with uncertain environmental disturbances and (ii) a mobile manipulator moving across a rough terrain of unknown geometry.
A 4-DoF planar manipulator has been tested in a gravity-compensated setup.
The HSDBC algorithm has been tested to model and control nonlinear systems including flexible robot manipulator and a twin rotor system using a PD-like FLC [35, 37].
The hypothesis was tested during endpoint tracking tasks in which subjects interacted with unstable haptic environments, simulated using a 3D robotic manipulator.
The hypothesis was tested during endpoint tracking tasks in which subjects interacted with unstable haptic environments, simulated using a three degrees of freedom (3DOF) robotic manipulator.
Finally, the compliant model of the limb and the implicit inverse kinematic solution of the manipulator are fully tested by FEA.
The proposed surgical manipulator is designed, manufactured and tested successfully.
This manipulator is the most appropriate as a simple test case because most manipulators are built in such a way that most of the vertical motion of the manipulator is done by two parallel revolute joints: planar RR mechanism.
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