Caractéristiques principales
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Ultra-Lightweight Bionic Design: Pesée uniquement 383g (environ the weight of six eggs), the hand is 20% lighter than many industry competitors, reducing the inertial load on the robot’s arm joints.
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High Payload & Grip Force: Despite its compact size, it delivers a powerful 50N grip force and can support a static load of up to 20 kg, allowing it to handle heavy everyday objects like a full water jug.
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Actionnement de précision : Caractéristiques 11 degrees of freedom (DoF) avec 6 active joints, enabling complex gestures and adaptive grasping. It achieves a repeat accuracy of 0.1° for fine-motor tasks.
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Human-Scale Ergonomics: At 16 cm in length, it matches the size of an average adult hand, ensuring it can interact with tools and environments designed for humans.
Spécifications techniques
| Paramètre | Spécification |
| Modèle | BrainCo Revo 2 Basic |
| Poids | ~383 g |
| Dimensions | 160 mm x 76 mm |
| Degrés de liberté (DoF) | 11 (6 Active Joints) |
| Power Grasp Force | >= 50 N |
| Finger Pinch Force | >= 15 N |
| Max Static Load | 20 kg |
| Repeat Accuracy | 0.1° |
| Operating Noise | <= 50 dB |
| Communication | RS485, CAN-FD |
| Plage de tension | 9V – 28V |
Comparison: Basic vs. Pro/Touch Versions
Le Basic Version is optimized for movement and strength. While it supports position, speed, and current control, it lacks certain advanced features found in the higher versions:
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Communication: Basic uses RS485/CAN-FD; the Pro/Touch versions add EtherCAT support.
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Tactile Feedback: The Basic version does pas include the 3D tactile perception system (pressure, friction, and force direction sensing) found in the Revo 2 Touch.
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tension: The Basic version operates up to 28V, whereas the Pro/Touch versions support a wider range up to 64V.
Applications idéales
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Humanoid Research: Developing locomotion and balance while carrying objects.
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Robotique de service : Simple pick-and-place tasks in domestic or laboratory settings.
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Éducation: Teaching kinematics and bionic control at the university level.
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AI Training: Using reinforcement learning to master human-like grasping gestures.












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