Agibot OmniHand 2025 (w. Tactile)

The Agibot OmniHand 2025 (w. Tactile) 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.

(Price on request)

Key Models: Agile vs. Pro

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

Feature	OmniHand 2025 (Agile)	OmniHand Pro 2025
Primary Focus	Interactive Services & Research	Industrial Precision & Heavy Duty
Degrees of Freedom	16 (10 Active + 6 Passive)	19 (12 Active + 7 Passive)
Weight	~550g	~800g
Max Fingertip Force	5N	20N
Tactile Sensing	400+ Sensing Taxels	150+ Multi-modal Taxels (3-axis)
Dimensions	180 x 85 x 38.5mm	207 x 98 x 56mm

Core Features

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: Supports CANFD and 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.
Research & Education: A cost-effective platform for AI training, tactile feedback studies, and teleoperation.
Logistics: Handling diverse parcels of varying materials and sizes with adaptive grip strength.