Unitree H2 Specific Dex5-1P Mano diestra de cinco dedos (1 unidad)

El Unitree Dex5-1P es de vanguardia, five-finger dexterous hand designed for advanced humanoid robots like the Unitree H2 y H1. While the standard Dex5-1 focuses on movement, the “P” (Tactile) version is specifically engineered for high-fidelity manipulation, integrating a dense array of sensors that allow the robot to “feel” the objects it touches.

11.990,00  Sin IVA (11.990,00  IVA incluido)

Disponible para reserva

Key Performance Features

  • Human-Like Dexterity: Con 20 Degrees of Freedom (DOF)—16 active and 4 passive—the hand can perform complex gestures and handle delicate objects. The thumb features 4 active joints, while the other four fingers include 3 active joints each.

  • Tactile Intelligence: The Dex5-1P is equipped with 94 pressure sensors distributed across the palm (10), fingertips (6 each), and finger segments. This allows for a sensing range of 10g to 2500g, enabling tasks from picking up a single grape to gripping heavy tools.

  • “Snake-Like” Flexibility: A unique ±22° lateral swing across the four fingers allows the hand to splay and adapt its shape to curved or irregular surfaces, significantly improving grip reliability compared to traditional rigid grippers.

  • Force-Controlled Joints: Utilizing 12 self-developed micro force-controlled composite joints, the hand supports backdrivability. This means it can sense external resistance and “give way” to avoid damage, much like a human hand.

     

Especificaciones técnicas

Parámetro Especificación
Peso 1.0 kg (per hand)
Payload Capacity 3.5 kg (palm down) / 4.5 kg (palm side)
Fingertip Strength 10 N
Repeatability ±1 mm
Dimensiones 217.3 mm × 127.5 mm × 72.1 mm
Comunicación USB 2.0 / 1000 Hz Refresh Rate
Rango de voltaje 24V – 60V
Feedback Data Position, Velocity, Torque, Temp, IMU, Tactile Pressure

 

Why Choose the Dex5-1P?

1. Advanced Research & AI Training

The high-speed communication rate (1000Hz) and detailed feedback make it an ideal platform for Reinforcement Learning (RL). Researchers can use the 94 tactile points to develop complex “Embodied AI” algorithms for fine-motor tasks.

2. “Micro-Gap” Design

The rotation axes are positioned close to the surface, and joint gaps are minimized.11 This prevents the hand from snagging on fabrics or getting stuck when reaching into cluttered spaces.

3. Modular Maintenance

Each of the five fingers is independently replaceable. If a single finger is damaged during high-intensity testing, it can be swapped out without replacing the entire hand assembly.

Peso 1,5 kg

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