| Sign In | Join Free | My infospaceinc.com |
|
| Categories | Dexterous Robot Hand |
|---|---|
| Brand Name: | HONPINE |
| Model Number: | L30 |
| Place of Origin: | china |
| MOQ: | 1 |
| Payment Terms: | T/T |
| Supply Ability: | 10000 |
| Delivery Time: | 5-20 days |
| Packaging Details: | Carton with form |
| Degrees of Freedom: | 21 |
| Number of Joints: | 21 |
| Transmission Type: | Motor drive |
| Drive Type: | Self-developed joint module |
| Control Interface: | CAN/RS485 |
| Weight: | 1200g |
| Maximum Load: | 20kg |
| Operating Voltage: | DC24V±10% |
| Static Current: | 0.2A |
| Average No-load Operating Current: | 1A |
| Maximum Current: | 3A |
| Repeat Positioning Accuracy: | ±0.20mm |
| Maximum Thumb Gripping Force: | 15N |
| Maximum Four-Finger Gripping Force: | 10N |
| Four-Finger Bending Angle: | 1.57rad(90°) |
| Thumb Abduction Speed: | 3.28rad/s(188.17°/s) |
| Four-Finger Bending Speed: | 1.99rad/s(114.29°/s) |
| Thumb Bending Speed: | 1.07rad/s (62.26°/s) |
HONPINE L30 is a 21-DoF dexterous hand that accurately replicates fine human hand movements with millimeter-level operation precision. It adopts advanced tendon drive and highly integrated mechatronic systems for stable movement and precise control, and supports multi-modal perception (force, touch, vision) to enhance real-time perception and interaction reliability. With high DoFs, multi-modal perception, and leading motion control algorithms, it is widely used in industrial automation, medical assistance, and research experiments—providing a highly adaptable, reliable end-effector solution.
21 DoFs (17 active + 4 passive) with independent control of thumb and four fingers, enabling accurate replication of fine human hand movements, high repeat positioning accuracy, and delicate gripping force resolution—suitable for precision tasks.
Advanced tendon drive and highly integrated mechatronic systems ensure smooth movement and high maximum speed to meet fast-response needs, while achieving lightweight and high compactness for robotic end-effectors.
Supports fusion of force, touch, and other sensors to accurately perceive the environment and provide real-time interaction feedback—greatly enhancing adaptability and collaboration in unstructured scenarios.
●Supported Robotic Arms: UR, Franka, XArm, RealMan, Songling
●Supported Data Acquisition Methods: Teleoperation gloves,
exoskeleton gloves, liquid metal gloves, vision, VR (Meta Quest 3)
●Supported Simulators: PyBullet, Isaac, MuJoCo
●Supported Interfaces: CAN, 485
●Example Use Cases: ROS1, ROS2, Python, C++
|