Difference between revisions of "Allegro Hand Overview"
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| style="padding: 3px 5px 3px 5px; background: #F0F0F0" | Payload | | style="padding: 3px 5px 3px 5px; background: #F0F0F0" | Payload | ||
| style="padding: 3px 5px 3px 5px" | 0.5 (kg) for each finger, 1.5 (kg) total | | style="padding: 3px 5px 3px 5px" | 0.5 (kg) for each finger, 1.5 (kg) total | ||
+ | |} | ||
+ | ==System Requirements== | ||
+ | {|style=" border-collapse: separate; border-spacing: 15; border-width: 2px; border-style: solid; border-color: #CCCCCC; padding: 0px; text-align: left;" | ||
+ | |- | ||
+ | | style="padding: 3px 5px 3px 5px; width: 100px; background: #F0F0F0" | CPU || style="padding: 3px 5px 3px 5px" | Intel® Core™2 Duo or higher | ||
+ | |- | ||
+ | | style="padding: 3px 5px 3px 5px; background: #F0F0F0" | RAM || style="padding: 3px 5px 3px 5px" | at least 2GB | ||
+ | |- | ||
+ | | style="padding: 3px 5px 3px 5px; background: #F0F0F0" | HDD || style="padding: 3px 5px 3px 5px" | at least 2GB | ||
+ | |- | ||
+ | | style="padding: 3px 5px 3px 5px; background: #F0F0F0" | Graphics || style="padding: 3px 5px 3px 5px" | OpenGL 3.0 H/W Acceleration enabled<br>with at least 64Mb of video RAM | ||
+ | |- | ||
+ | | style="padding: 3px 5px 3px 5px; background: #F0F0F0" | OS || style="padding: 3px 5px 3px 5px" | MS Windows® XP,<br>MS Windows® Vista,<br>MS Windows® 7 | ||
+ | |- | ||
+ | | style="padding: 3px 5px 3px 5px; background: #F0F0F0" | Additional S/W || style="padding: 3px 5px 3px 5px" | MS Visual Studio® | ||
+ | |- | ||
+ | | style="padding: 3px 5px 3px 5px; background: #F0F0F0" | CAN Interface || style="padding: 3px 5px 3px 5px" | NI, Softing, Kvaser or ESD CAN<br>'''''Note:''' Any CAN interface can be user-configured<br>for use with the Allegro Hand.'' | ||
|} | |} |
Revision as of 18:33, 3 October 2012
Allegro Hand is a low-cost and highly adaptive robotic hand. |
With four fingers and sixteen independent current-controlled joints, it's the perfect platform for grasp and manipulation research. |
Features
- Lightweight and portable anthropomorphic design
- Low-cost dexterous manipulation with applications in research and industry
- Multiple ready-to-use sensorless grasping algorithms capable of handling a variety of object geometries
- Capable of holding up to 1.5kg
- 16 independent current-controlled joints (4 fingers x 4)
- Allegro Application Studio integration allows for simulation based algorithm prototyping without ever changing your code
- Support for real-time control and online simulation
Tech Specs
Number of Fingers | Three (3) fingers and a thumb | ||||||||
Degrees of Freedom | 4 fingers x 4 = 16 | ||||||||
Actuation |
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Weight |
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Joint Resolution |
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Communication |
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Payload | 0.5 (kg) for each finger, 1.5 (kg) total |
System Requirements
CPU | Intel® Core™2 Duo or higher |
RAM | at least 2GB |
HDD | at least 2GB |
Graphics | OpenGL 3.0 H/W Acceleration enabled with at least 64Mb of video RAM |
OS | MS Windows® XP, MS Windows® Vista, MS Windows® 7 |
Additional S/W | MS Visual Studio® |
CAN Interface | NI, Softing, Kvaser or ESD CAN Note: Any CAN interface can be user-configured for use with the Allegro Hand. |
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