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However, there exist parameter uncertainties in the robot manipulators.
This paradigm aims to handle the uncertainties in the robot model.
However, the parameter uncertainties in the robot contact radius (L_0) will appear in the robot dynamics if the robot moves with rotational motion.
The fuzzy robust controller is a position controller in the inner control loop, to compensate for uncertainties in the robot manipulator model.
An adaptive robust tracking controller for WMRs is proposed to cope with both parametric and nonparametric uncertainties in the robot model.
Another advantage of the proposed approach is that it can estimate the force even when there are some parametric uncertainties in the robot model, because an additional adaptive law is designed to estimate the robot parameters.
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Russell and his team propose solving this by providing a level of uncertainty in the robot's objective.
It must also deal with the uncertainties in both the robot's position and the target's future trajectory.
This can be seen as a mechanism for adjustable autonomy whereby adjustments are triggered at run-time based on the uncertainty in the robots' beliefs related to their task.
Distributed techniques are more robust, because they better accept the fails and uncertainties in the individual robots performances; in other words, a single defective robot does not interrupt the functioning of the whole.
It considers not only the uncertainties and disturbances in the robot model, but also the unknown camera parameters.
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uncertainties in the design
uncertainties in the model
uncertainties in the spacecraft
uncertainties in the estimation
uncertainties in the p
uncertainties in the weather
uncertainties in the runup
uncertainties in the system
uncertainties in the shift
uncertainties in the science
uncertainties in the ketene
uncertainties in the study
uncertainties in the record
uncertainties in the chemistry
uncertainties in the orbit
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