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Figure 3 shows an example GAST task trajectory.
Such task requirements and performance constraints can be specified in terms of the required end-effector positions, orientations and velocities along the task trajectory.
Intrigued by these studies, we reasoned that while the spatio-temporal criteria for success constitute explicit demands of the task, trajectory shape is not uniquely determined by this constraint but is influenced by other factors such as calibration of the available feedback signals for the state estimation required by the task.
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The task of trajectory design of autonomous vehicles is typically two-fold.
Then, the details of collaborative mission planning which includes the co-optimization of task distributing, trajectory and corresponding maneuvering scheme are presented.
Considering the underactuated and strongly coupled characteristics of quadrotor helicopter, we design a nonlinear control method by using integral backstepping combined with the sliding mode control (integral BS-SMC) to stabilize the quadrotor attitude and to accomplish the task of trajectory tracking.
Also, it would be useful that provide some analysis and discussion of the relative ability to classify into trajectories (L-R vs R-L) versus into tasks (VD, SA, DA) versus into specific trial types (i.e., task and trajectory information combined).
Also, it would be useful that provide some analysis and discussion of the relative ability to classify into trajectories (L-R vs R-L) vs into tasks (VD, SA, DA) vs into specific trial types (i.e., task and trajectory information combined).
This paper presents, a robust nonlinear proportional-integral-derivative (PID -like fuzzy control scheme for a task-sPID -likeectory tracking control ofuzzyautonomous underwater vehicontrolipulator scheme (AUVMS) employed for deep-sea intervention tasks.
This paper shows that a desired task or trajectories can be still achieved even though there are feedback signal dropouts if the desired task is repetitive, as in the iterative learning control case.
The primary objective of the proposed control scheme is to track the given end-effector task-space trajectory despite of external disturbances, system uncertainties and internal noises associated with the AUVMS system.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com