HITBOT Dexterous Robotic Hand eHand-6


Part No.: RBTX-HITBO-0002

HITBOT eHand-6 – 6-DOF Tactile Dexterous Hand

The HITBOT eHand-6 is a high-precision tactile dexterous hand with 6 degrees of freedom, capable of accurately replicating human grasping, pinching, gripping, and pushing movements. It boasts a maximum gripping force of up to 10N and a maximum lifting load capacity of 5kg, paired with millisecond-level response performance that completes complex gestures in just 1.1 seconds, achieving both speed and stability. Its lightweight and compact design allows seamless integration with various collaborative robots and humanoid robot arms.

Equipped with optional 5-channel haptic feedback sensors, the eHand-6 enables intelligent sensing of contact force and environmental interactions for more precise and safe operations. It provides dual API interfaces for Python and ROS, ensuring excellent development compatibility with mainstream robotics development ecosystems. The dexterous hand supports flexible control modes, including direct programming and motion capture-driven operation, adapting to diverse technical development needs.

It is suitable for scenarios such as industrial automation, robot R&D, scientific research experiments, human-computer interaction demonstrations, and service robot end-effector matching, providing a reliable and flexible dexterous manipulation solution for intelligent robotics applications.

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Repeatability
0.3
mm
DOF
6
Weight
0.715
kg
Interface
CAN FD

Highlights

https://a.storyblok.com/f/298593/1280x1857/b37de34b2b/6d184d7f-07db-4eb5-a7d6-7ba68c11a02b.jpg

Product Information

Degree of Freedom: Accurately replicates human grasping, pinching, gripping, and pushing movements

Load Capacity: Maximum gripping force up to 10N, and maximum lifting load capacity up to 5kg

Millisecond-Level Response: Completes complex gestures in 1.1 seconds, achieving both speed and stability

Intelligent Sensing: Optional 5-channel haptic feedback sensor

Development Compatibility: Provides dual API interfaces for Python/ROS

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Downloads

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