Książka Augmented Steady Hand System for Precise Micromanipulation Rajesh Kumar

Augmented Steady Hand System for Precise Micromanipulation

Autor: Rajesh Kumar
Język: Angielski
Oprawa: Miękka
Dostępność: Dostępna u dostawcy
Wysyłamy za 9-15 dni
212.21
Steady Hand cooperative manipulation is a hands-on§approach that integrates seamlessly in the surgic...

Informacje o książce

Autor
Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2008
strony
116
EAN
9783639097566
ISBN
3639097564
Enbook ID
06818783
Waga
163
Wymiary
152 x 229 x 6

Pełny opis

Steady Hand cooperative manipulation is a hands-on§approach that integrates seamlessly in the surgical§practice. In steady hand manipulation, the tool is§held simultaneously by the user and the robot and§the robot complies to forces applied by the user.§Steady hand manipulation promises significant§improvements in safety, accuracy over conventional§practice at minimal cost and training to the user. It§also offers a way around the difficult problem of§encoding human intelligence, and preserves the§benefits from experience and training.§§We explore the possibility of encoding/utilizing task§descriptions to improve transparency and performance§of a steady hand manipulation task. This is done by§constructing higher level representations of the§task. The user's interaction with the robot,§tool-tissue interactions, and other sensory and§planning inputs can be used to identify the task§state and modify the behavior of the robot by using§ using optimized task and control parameters.§Validation experiments for several cooperative tasks§with and without augmentation are presented. Steady Hand cooperative manipulation is a hands-on§approach that integrates seamlessly in the surgical§practice. In steady hand manipulation, the tool is§held simultaneously by the user and the robot and§the robot complies to forces applied by the user.§Steady hand manipulation promises significant§improvements in safety, accuracy over conventional§practice at minimal cost and training to the user. It§also offers a way around the difficult problem of§encoding human intelligence, and preserves the§benefits from experience and training.§We explore the possibility of encoding/utilizing task§descriptions to improve transparency and performance§of a steady hand manipulation task. This is done by§constructing higher level representations of the§task. The user''s interaction with the robot,§tool-tissue interactions, and other sensory and§planning inputs can be used to identify the task§state and modify the behavior of the robot by using§using optimized task and control parameters.§Validation experiments for several cooperative tasks§with and without augmentation are presented.

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