The AgiBot OmniHand Series is a family of anthropomorphic five-finger dexterous robotic hands developed by AGIBOT Innovation Shanghai Technology Co., Ltd., the world's highest-volume humanoid robot manufacturer by units shipped in 2025. The series was designed to address what AgiBot describes as a cost barrier in the commercial dexterous hand market, providing high-degree-of-freedom, multi-modal sensing manipulation hardware at price points previously unavailable in the professional robotics segment.
AgiBot OmniHand Series
AgiBot OmniHand Series USA: The Dexterous Robot Hand Built for Industrial and Research Applications
The AgiBot OmniHand Series is a family of anthropomorphic five-finger dexterous robotic hands developed by AGIBOT Innovation Shanghai Technology Co., Ltd., the world's highest-volume humanoid robot manufacturer by units shipped in 2025. The series was designed to address what AgiBot describes as a cost barrier in the commercial dexterous hand market, providing high-degree-of-freedom, multi-modal sensing manipulation hardware at price points previously unavailable in the professional robotics segment.
The OmniHand Series is sold as a standalone modular product compatible with a wide range of robot arms, collaborative robots, mobile manipulators, and humanoid platforms beyond AgiBot's own lineup. AgiBot states the CAN FD standardized interface ensures compatibility with mainstream robotic arms and humanoid robots, explicitly listing the AgiBot G1 and AgiBot A2 among confirmed compatible platforms, and providing URDF and 3D model files for pre-purchase compatibility verification. The series was showcased at CES 2026 in Las Vegas as part of AgiBot's US market debut.
OmniHand 2025: The Agile Interactive Model
The OmniHand 2025 (the "Agile" model) is positioned for interactive service applications where human-like gesture, conversational object handling, and safety in human-proximate environments are the primary requirements. Its design philosophy prioritizes compact size, low weight, broad object compatibility, and a tactile sensing density that supports gesture-rich interaction.
Technology and Actuation Design
Tendon-Driven Architecture
All OmniHand variants use tendon transmission routed over low-backlash pulleys. Key phalanges are differentially coupled for passive shape adaptation, meaning that when a finger closes around an object, the tendon force distributes naturally across all finger segments that contact the surface, conforming to the object's geometry without requiring the controller to specify every joint angle. This underactuated approach substantially reduces control complexity while improving grasp reliability on irregular objects.
For joints where fine positioning matters — the thumb's opposition axis and the index finger's distal phalanx — independently driven degrees of freedom provide the precision needed for pinch grasps of small or thin objects such as coins, USB connectors, or blister packs.
Communication and Integration Interfaces
The OmniHand 2025 supports both CANFD and RS485 interfaces, providing compatibility with a wide range of robot controller architectures. CANFD (Controller Area Network with Flexible Data-rate) provides high-speed, low-latency real-time communication suitable for responsive force control, while RS485 offers a simpler serial interface for less demanding integration contexts. The OmniHand Pro 2025 uses CANFD exclusively, reflecting its higher-performance real-time control requirements.
The ROS 2 driver support across the OmniHand line is an important practical integration feature, as ROS 2 is the standard middleware for research and development robotics. Teams building manipulation systems on ROS 2 can integrate the OmniHand with existing perception, planning, and control modules without writing custom communication layers.
Open-Source SDK and Simulation Support
Both the OmniHand 2025 and OmniHand Pro 2025 SDKs are published open source on GitHub under the Mulan PSL v2 license, with Python and C++ API support. URDF models allow the hands to be imported into simulation environments for grasp planning, collision checking, and training of manipulation policies before deploying to hardware. This simulation compatibility is particularly valuable for teams using AgiBot's Genie Sim 3.0 or NVIDIA Isaac Sim, as virtual hands can be tested in simulated manipulation scenarios to evaluate policies before physical deployment.
Applications and Use Cases
Interactive Service Robotics
The OmniHand 2025's compact size, 500g weight, anti-pinch safety design, and back-of-hand touch interaction capability make it the preferred configuration for service robots deployed in customer-facing environments. Demonstrations on the AgiBot A2 series have shown the OmniHand performing everyday service tasks including unpacking deliveries, pouring water, handing objects to people, and executing gestures during guided presentations.
Precision Manufacturing and Assembly
The OmniHand Pro 2025's 20-Newton maximum fingertip force and multi-modal tactile sensing with 0.01-Newton sensitivity enable it to handle precision manufacturing tasks including electronics assembly, screw insertion, and component placement in fixtures that require controlled contact forces. The G2 industrial robot equipped with the OmniHand Pro was demonstrated for RAM module insertion and seatbelt lock cylinder assembly at AgiBot's G2 launch event, confirming industrial deployment readiness.
Logistics Sorting and Mixed-SKU Handling
The OmniHand Pro's ability to grasp parcels of varying sizes, shapes, and materials without gripper changeover is its most commercially validated use case. Logistics facilities that handle mixed-product orders — where each item may have a different geometry, weight, and surface texture — have historically required either human pickers or complex end-effector changeover systems. A single OmniHand Pro on a mobile robot replaces this with a single dexterous end-effector capable of adapting its grasp to each unique item.
Research and Education
The open-source SDK, URDF models, Python and C++ APIs, and ROS 2 support make both OmniHand variants well suited for university robotics labs studying grasping, manipulation planning, tactile sensing, and embodied AI policy learning. The OmniHand 2025's 9,800 RMB price point — the first high-DOF commercial dexterous hand under 10,000 RMB — is specifically intended to make dexterous manipulation research accessible to a broader academic community than previous high-cost research hands allowed.
Embodied AI and Policy Learning
As embodied AI methods including imitation learning and Vision-Language-Action models move from demonstration to production, the quality of training data becomes critical. The OmniHand's tactile sensors provide richer state feedback during teleoperation demonstrations, capturing not just joint positions but contact patterns, grip forces, and slip events that are essential for learning manipulation policies that generalize to new objects and environments. The compatibility with AgiBot's AgiBot World dataset ecosystem means OmniHand-equipped robots contribute to the company's shared manipulation dataset.
Advantages and Benefits
Industry-Breaking Price Point for the Agile Model: At 9,800 RMB, the OmniHand 2025 was announced as the first high-DOF dexterous hand priced under 10,000 RMB, substantially broadening access to dexterous manipulation hardware for research institutions, startups, and smaller robotics integrators that previously could not afford commercial dexterous hands.
Tendon-Driven Compliance for Versatile Grasping: The underactuated differential tendon design enables passive shape adaptation across diverse object geometries without complex joint-by-joint programming, substantially simplifying the control requirements for deploying the OmniHand in unstructured environments.
Multi-Modal Tactile Feedback Enables Real-World Reliability: The integration of position, normal force, tangential force, and proximity sensing (Pro model) or 400-plus point tactile arrays (Agile model) allows the OmniHand to detect and respond to contact events that position-only control systems miss, including incipient slip detection and gentle handling of deformable objects.
Open-Source SDK Accelerates Integration: The Mulan PSL v2-licensed SDK with Python and C++ support, combined with URDF models and ROS 2 drivers, allows research and development teams to integrate the OmniHand into existing robotics stacks in days rather than weeks.
Modular Fingertip System: Field-swappable fingertip inserts (Pro model) allow customization of friction, texture, and ESD characteristics without hardware redesign, enabling a single OmniHand to serve multiple task contexts within the same facility.
Cross-Platform Compatibility: The OmniHand Series is explicitly designed for use with both AgiBot's own robot platforms and third-party robot arms and humanoids, maximizing the addressable market and making it valuable to teams that use AgiBot accessories with non-AgiBot robot hardware.
Summary
The AgiBot OmniHand Series represents a significant advance in the accessibility and commercial maturity of dexterous robot hand technology for US buyers in robotics research, industrial automation, and humanoid robot integration. The OmniHand 2025's breakthrough sub-10,000 RMB pricing with 16 DOF and 400-plus tactile contact points opens the dexterous manipulation market to a far wider range of adopters than the previously prevailing price floors allowed. The OmniHand Pro 2025's 19-DOF anthropomorphic kinematics, 0.1-Newton multi-modal tactile sensing across 150-plus taxels, 5-kilogram payload, 0.3-millimeter positioning accuracy, and four international certifications establish it as a commercially deployable industrial manipulation platform rather than a laboratory prototype. Backed by AgiBot's position as the world's highest-volume humanoid robot manufacturer, an open GitHub SDK with Python and C++ APIs, ROS 2 driver support, and a complete simulation ecosystem through Genie Sim 3.0 and URDF model availability, the OmniHand Series provides the most complete and accessible dexterous hand development and deployment ecosystem of any product family in its price category currently available in the US market.
What is the AgiBot OmniHand Series?
The AgiBot OmniHand Series is a family of anthropomorphic five-finger dexterous robotic hands developed by AGIBOT Innovation Shanghai Technology Co., Ltd. The series includes two variants: the OmniHand 2025 (Agile model, 10 active DOF, 16 total DOF, 500g, 180mm, 1kg payload, 400-plus tactile contact points, 9,800 RMB launch price) and the OmniHand Pro 2025 (Professional model, 12 active DOF, 19 total DOF, 750-820g, 5kg payload, 0.3mm positioning accuracy, 150-plus taxels with 0.1N force sensitivity, ISO 9001/CE/RoHS/EMC certified). Both use tendon-driven actuation, CAN FD and RS485 communication, and are compatible with a wide range of humanoid robots and collaborative robot arms through a standardized interface.
How does the AgiBot OmniHand Pro work?
The OmniHand Pro uses tendon transmissions routed through low-backlash pulleys to drive 12 active degrees of freedom distributed across an opposable thumb and four fingers. Key joints are underactuated via differentials, allowing fingers to conform passively to object shapes without independent motor control of every phalange. Where precision is required, such as for the thumb and index distal joint, independently driven DOFs provide fine pose control. Multi-modal fingertip sensors fuse normal force, shear, and proximity signals to detect contact onset and incipient slip, triggering autonomous grip adjustments including tighten, micro-roll, and re-grasp reflexes within the hand's onboard controller. Sensory feedback channels report joint position, speed, torque, temperature, current, and tactile pressure simultaneously through the CAN FD communication bus.
Why is the AgiBot OmniHand Series important for dexterous manipulation research?
The OmniHand Series is significant for the research community because it provides a commercially available, production-grade dexterous hand with research-quality sensing, an open SDK, ROS 2 drivers, URDF models, and 19-DOF anthropomorphic kinematics at a price point that makes multi-unit laboratory deployments economically feasible. The AgiBot World dataset, with more than one million manipulation trajectories collected using OmniHand-equipped platforms, provides the largest open contact-rich manipulation dataset available for training and benchmarking embodied AI policies. The combination of hardware availability, open software, and open training data creates a complete ecosystem for embodied manipulation research that has not previously existed at this price and accessibility level.
What are the main differences between the OmniHand 2025 and the OmniHand Pro 2025?
The OmniHand 2025 and OmniHand Pro 2025 differ across four key dimensions. Active DOF: 10 for the standard vs. 12 for the Pro. Payload capacity: 1 kg standard vs. 5 kg Pro. Repeatable positioning accuracy: 0.5 mm standard vs. 0.3 mm Pro. Tactile sensing: 400-plus touch points standard vs. 150-plus high-density taxels with 0.1 Newton sensitivity for the Pro, plus optional 6-axis palm force-torque. The standard OmniHand is designed for interaction and light-duty service tasks in social humanoid robots, retail, education, and companionship applications. The Pro is designed for industrial precision assembly, tool use, reinforcement learning research, and high-intensity manipulation tasks where greater payload, accuracy, and tactile sensing are required.
Is the AgiBot OmniHand compatible with non-AgiBot robots?
Yes. The OmniHand Series uses a standardized CAN FD interface that AgiBot describes as compatible with mainstream robotic arms and humanoid robots. AgiBot explicitly lists the AgiBot G1 and A2 as confirmed compatible platforms, and provides URDF and 3D CAD model files for download before purchase to allow pre-purchase compatibility testing with any robot arm or humanoid platform. The OmniHand Pro 2025's published GitHub SDK supports Python and C++ interfaces, and ROS 2 drivers are available for both variants, enabling integration into the middleware ecosystem used by most third-party robotics platforms. The Pro also supports EtherCAT for industrial motion controller integration beyond the standard CAN FD and RS485 options.