Key Features & Specifications
1. Human-Equivalent Dexterity
With 21 Degrees of Freedom, the Revo 3 can replicate nearly every movement of a human hand. This allows for complex manipulation tasks that were previously difficult for robotic hands, such as:
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Solving a Rubik’s Cube.
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Performing intricate rope/knot tricks.
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Delicate tool handling (e.g., using scissors or a pipette).
2. High Performance & Durability
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Load Capacity: Capable of a 30 kg static load and a whole-hand power grasp force of approximately 50N.
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Precision: Features a repeatability accuracy of 0.1mm, making it suitable for light electronics assembly.
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Speed: A rapid open/close time of roughly 0.8 seconds, allowing for reactive grasping.
3. Construction & Hardware
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Materials: Built using Aerospace-grade Aluminum Alloy for the internal structure and Food-grade Plastic for the exterior casing.
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Drive System: Utilizes high-precision micro-motors with direct-drive or optimized transmission to maintain a lightweight profile (approx. 540g).
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Communication: Supports RS485 and CAN/CANfd protocols as standard, ensuring compatibility with major robot controllers and the Unitree G1/H1 humanoid platforms.
Technical Table
| Feature | Specification (Revo 3 Basic) |
| Degrees of Freedom | 21 DoF (Bionic Joint System) |
| Weight | ~540g |
| Grasp Force (Power) | 50N |
| Single Finger Load | Up to 8kg |
| Voltage Range | 9.5V – 28V |
| Communication | RS485, CAN, CANfd |
| Control Modes | Position, Speed, and Current Control |
| Software Support | SDK (Python/C++), ROS 2, Isaac Sim/MuJoCo |
Best Use Cases
The Revo 3 21 Basic is specifically positioned for:
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Embodied AI Research: Training reinforcement learning models that require high-DoF action spaces.
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Humanoid Development: Serving as the end-effector for research-grade humanoids.
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Education: A robust platform for universities to explore bionic control and kinematics without the budget overhead of tactile-sensing arrays.
Note: While the Revo 3 Basic includes position and current sensors for anti-pinch and anti-fall protection, it lacks the “Touch” model’s ability to sense texture, friction, and force direction.







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