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The grasp quality is computed through a task compatibility criterion.
Experiments indicate that the under-actuated robotic hand can satisfy the grasp requirements.
In harvesting processes, the grasp quality is one of the most important factors for production quality.
This facilitates embedding agent perception capabilities within the grasp quality determination.
Furthermore, the grasp success rate can be improved significantly in real world scenarios.
Therefore, the grasp plan triggered by the olfactory stimulus primed the grasp plan established for the visual target.
The grasp controller controls the timing of the preshape and enclosure phases of the grasp.
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The GRASP-AF tool was then applied.
Numerical experiments show that the GRASP×ELS approach outperforms all previously published methods.
The folks at the GRASP Lab at Penn created this robot.
Remember those cool Quadrocopter Manhacks created by the GRASP Lab at U. Penn?
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