Overview
Description
This dexterous robotic hand system is available in a variety of architectures to fit different end‑application use cases and hand‑level requirements:
- Comprehensive High‑Performance Dexterous Hand System: Realizes an architecture capable of 17 degrees of freedom (DOF), enabling fine and precise motor control and movement. It features compatible interfaces for industrial networks, integrated sensors for system feedback, and multiple motor control subsystems to drive hand, wrist, and finger joint articulation. This enables seamless integration into robotic platforms such as robotic arms or humanoid robots.
- Modular Robotic Hand Joint Control and Drive System: Supports implementations focused on simplified movements, such as finger joint actuation, and modular integration. It enables single or dual motor control in an ultra‑compact form factor, depending on the selected processor.
System Benefits:
- Real‑time performance with high-processing speeds enables closed‑loop operation between system commands, physical hand actuation, and sensors, resulting in smooth and seamless motion.
- Flexible motor control and drive architecture supports multiple motor add‑ons (single, dual, or triple) and allows controller selection based on performance requirements.
- Support for industrial interfaces such as USB, EtherCAT®, and RS‑485 enables easy connection to other systems and controllers.
- Integrated motor drive IC with built‑in protections (such as overcurrent and thermal shutdown) drives multiple motors and loads in a compact design, enabling a sleek hand form factor.
- Advanced field‑oriented control (FOC) motor algorithms deliver high‑precision, smooth movement, and efficient joint control.
Comparison
Applications
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High-Performance Dexterous Hand System with 17 DOF and Integrated Sensors
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Videos & Training
See how Renesas is advancing dexterous robotic hand technology with sensor fusion, Vision AI, tactile sensing, and precision force control. This demo shows how the solution identifies different objects, calibrates grip force across individual fingers, and adapts handling for everything from solid produce to delicate items like paper cups and eggs. Powered by Renesas RZ/V Vision AI processing, impedance sensing, and sensor signal conditioning, the system combines perception, touch, and AI/ML to enable safer, more responsive human-robot interactions. The video also highlights how Renesas 365 streamlines development with cloud-based solution management, remote board deployment, and live performance metrics from cloud to edge.