Agibot OmniHand 2025

Le Agibot OmniHand 2025 is a groundbreaking, high-degree-of-freedom (DOF) robotic hand designed to bridge the gap between industrial precision and human-like interaction. Launched by Agibot (Zhiyuan Robotics), this series marks a significant leap in “embodied AI,” offering a modular, highly sensitive end-effector that can be integrated into humanoid robots, robotic arms, and research platforms.

(Prix sur demande)

 

Key Models: Agile vs. Pro

The series is divided into two primary versions to suit different operational needs:

Fonctionnalité OmniHand 2025 (Agile) OmniHand Pro 2025
Primary Focus Interactive Services & Research Industrial Precision & Heavy Duty
Degrés de liberté 16 (10 Active + 6 Passive) 19 (12 Active + 7 Passive)
Poids ~550 g ~800g
Force maximale du bout des doigts 5N 20N
Détection tactile 400+ Sensing Taxels 150+ Multi-modal Taxels (3-axis)
Dimensions 180 x 85 x 38.5mm 207 x 98 x 56mm

Fonctionnalités principales

1. Human-Centric Dexterity

With up to 19 degrees of freedom, the OmniHand Pro can replicate complex human gestures, including delicate tasks like threading a needle or using professional tools. The “Agile” model even supports an exclusive back-of-hand touch interaction, allowing for more natural human-robot communication.

2. Exceptional Tactile Intelligence

Equipped with a high-density array of force sensors (up to 400+ taxels), the hand features 0.1N-level sensitivity. The Pro version includes 3-axis fingertip force sensing, enabling the robot to perceive normal and tangential forces—essential for “feeling” an object’s texture or slip.

3. Industrial-Grade Reliability

  • Anti-Pinch Design: Integrated safety features prevent accidental injury during human collaboration.

  • Extreme Durability: Tested for high-intensity tasks and capable of operating in temperatures ranging from -15°C to 50°C.

  • Plug-and-Play Compatibility: Soutient CANFD et RS485 interfaces, making it compatible with most mainstream robotic arms and Agibot’s own G2 and A2 series humanoids.

4. Seamless Software Integration

The OmniHand 2025 comes with a robust SDK (C++ and Python), allowing developers to implement reinforcement learning and imitation learning algorithms quickly. It is fully integrated with Agibot’s ActionGPT, which translates voice commands into natural hand movements.

Application Scenarios

  • Commercial Services: Reception, gesture interaction (e.g., rock-paper-scissors), and document delivery.

  • Industrial Manufacturing: Precise sorting, assembly of small components (like RAM sticks), and tool manipulation.

  • Recherche et éducation : A cost-effective platform for AI training, tactile feedback studies, and teleoperation.

  • Logistique: Handling diverse parcels of varying materials and sizes with adaptive grip strength.

Poids 0,750 kg

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