PL-WitHand Dexterous Hand

World's First Industrial-Grade Hybrid-Driven Dexterous Hand

PL-WitHand introduces a tendon-linkage hybrid transmission design that merges flexibility with high-precision control. Driven by the self-developed ProxiGrasp intelligent grasping algorithm, the product fully leverages its hardware capabilities to adapt autonomously to complex tasks and deliver precise performance across applications—from industrial automation and precision medicine to extreme environment operations and high-fidelity VR interaction.

Industry-Leading Grasping Capability

Achieves "near-human dexterity and industrial-grade precision" through an innovative tendon-linkage hybrid transmission, balances compliant manipulation with high-accuracy control, and bridges the performance gap of traditional end-effectors in complex tasks.

Proven Application Performance

Leverages the self-developed ProxiGrasp intelligent grasping algorithm to fully unlock hardware potential, directly bridge the gap from technology to application, and deliver an immediately deployable product-ready solution.

Configurable and Iterative Design

Enables faster iterations and greater customization flexibility than traditional non-modular alternatives via modular control architecture, significantly reducing the time-to-market for specialized applications.

Extensive Platform Compatibility

Supports seamless integration with both embodied robots and industrial arms, facilitating cross-scenario reuse and reducing deployment and adaptation costs.

Features

Biomimetic Structural Design

Mimics the biomechanics of the human hand with flexible finger joints and efficient force transmission, enabling precise manipulation of diverse objects.
Intelligent Perception and Control System

Integrates visual and tactile multi-modal data via the ProxiGrasp algorithm, performs real-time estimation of object shape, contact force, and pose, and generates natural, stable grasping motions.
High Reliability and Durability

Utilizes industrial-grade materials and assembly processes to ensure high impact and fatigue resistance and guarantee stable long-term operation.
Self-Learning and Self-Calibration Capabilities

Records operational data and automates parameter optimization through built-in self-calibration and learning modules, continuously improving grasping precision and environmental adaptability.
Open and Extensible Platform

Deeply integrates with ROS 2 as a versatile platform, offering excellent openness and extensibility, and enabling multi-ecosystem connectivity and secondary development.
Human-Robot Collaboration (HRC) Friendly

Delivers responsive and controllable force feedback and is ideally suited for human-robot collaboration scenarios involving collaborative robots and embodied agents.