A gripper and a five-finger robot dexterous hand are not a matter of “higher” or “lower” level. They represent different assumptions about task distribution and data interfaces. The gripper approach is more suitable for externalizing dexterity through the environment, multi-arm cooperation, tools, and task design; the five-finger hand approach attempts to internalize dexterity into fingers, palm surfaces, multi-point contact, and tactile feedback loops.

HONPINE L30 is a 21-DoF dexterous hand that accurately replicates fine human hand movements with millimeter-level operation precision. It adopts advanced tendon drive and highly integrated mechatronic systems for stable movement and precise control, and supports multi-modal perception (force, touch, vision) to enhance real-time perception and interaction reliability. With high DoFs, multi-modal perception, and leading motion control algorithms, it is widely used in industrial automation, medical assistance, and research experiments—providing a highly adaptable, reliable end-effector solution.

HONPINE Robot Hand L10 is a high-performance dexterous hand with 20 DoFs. Equipped with self-developed motors and linkage transmission mechanisms, it ensures traction stability while enabling precise control and smooth movement. Widely used in education & research, piano performance, household assistance, and elderly care, it drives the advancement and implementation of intelligent robots and human-robot collaboration. It supports multi-modal environmental perception via various sensors and is compatible with ROS/QT environments (with standard ROS plugins for secondary development).

HONPINE 07 robot hand is a high-performance dexterous hand with 17 DoFs. Powered by self-developed motors, it balances cost control with reliable grasping and operation performance, meeting diverse application needs. It provides ROS plugins for secondary development, suitable for education & research, auxiliary grasping, and intelligent interaction—offering an efficient, economical dexterous hand solution for robotic systems.