로봇핸드
휴머노이드 로봇 손

Light Humanoid Hand (ROH-LiteS001)

Features

6DOF
ROS/ROS2가능
RS485 interface
ModBus/Serial comunication
A derivative product from the prosthetic hand, designed to mimic human hand movements and shapes, thereby replicating the functions of a human hand.

Structure

ROH AP001 force sensor structure

Dimension

Measurement location
Dimensions and angles
Vertical distance from the tip of the middel finger to the wrist
169 mm
Verticl distance from the thumb tip to wrist
97 mm
Thumb length
110 mm
Maximum palm width
75 mm
Wrist diameter
49 mm
Maximum opening and closing angle of the thumb side
0 ~ 31 Degrees
Maximum opening and closing anlge of the thum to the palm
0 ~50 Degrees
Thumb lateral roation angle
0 ~ 90 Degrees
Finger tocuh screen function
Supported

Weight: 457g±5g

Specification

Measuring Position
Parameters
Bending/stretching time for full range at maximum speed
0.7 second
Rotation time of thumb for full range at maximum speed
0.7 second
Active force of each finger tip on stretched state
≥ 0.45 Kgf
Active force of each finger tip on bended state
≥ 1 Kgf
Maximum active force of thumb tip
≥ 1 Kgf
Maximum passive load for four fingers on bended state
8 Kg
Maximum passive load for each fingers on bended state
3 Kg
Maximum passive load for each finger on stretched state
2.25 Kg

Our Clients

Use case

Case 1: R&D & Education
Ready for Immediate Research Use: Fully supports ROS/ROS2 and provides a Python API
Cost-effective 6-DOF Articulated Hand
Case 2: Manufacturing
Human-like Dexterous Grasping: Effortlessly handles irregularly shaped objects of various forms.
Fingertip Force Sensors: Delicately grasps fragile items, such as eggs, without breaking them.
Case 3: Service & Retail
Natural HRI: Designed to the exact dimensions of a human hand, enabling approachable and non-intimidating Human-Robot Interaction
AMR Integration: Seamlessly integrates with mobile robots (AMRs) like Keenon to perform tasks such as pressing elevator buttons
Case 4: Tele-operation
Control Method: Real-time teleoperation via dedicated Dataglove.
Ease of Use: Direct mirroring of human gestures enables intuitive operation with zero teaching required.