ROH -AP002_ ROHand

                        ROHand
                    
                        OHAND
                    
                        BIO-SENSOR
                    
                        SMART-REHAB
                    
                        EEG Machine
                    
                        SMART ASSISTIVE DEVICES

ROH -AP002

Technical

Basic Performance Parameters：

Full-range bending/stretching time of fingers (at maximum speed): 0.7 s Full-range rotation time of thumb (at maximum speed): 0.7 s Maximum active force of fingertips (excluding thumb) in stretched state: ±0.5 Kgf Maximum active force of fingertips (excluding thumb) in bent state: ±1.0 Kgf Maximum active force of thumb tip: ±1.0 Kgf

Basic Performance Parameters：

Weight (including wrist): 575g±5g Maximum passive load for four fingers in bent state: 30 Kg Maximum passive load for each finger in bent state: 10 Kg Maximum passive load for each finger in stretched state: 8 Kg

Force Sensor Parameters (3D Force)：

Distal + Proximal Phalanx (Normal Force) Sampling frequency: ≥50Hz Range: 0.1N~25N Repeatability accuracy: ±5% Distal Phalanx (Tangential Force) Range: 0.25N~25N Directional resolution: 1°

Palm Dot Matrix Sensor Parameters：

Sampling frequency: 150Hz Number of dots: 11×5 Normal Force: Range: 0.1N~25N Repeatability accuracy: ±20% (at 500g load)

The J9 - JIUYOU ROH-AP002 adopts a hybrid 3D + 1D force sensing architecture. The distal and middle segments of the fingers support both normal and tangential force sensing, while the palm uses an 11×5 dot-matrix sensor. This differentiated coverage, from fine single-finger manipulation to full-palm grip force feedback, meets the diverse perception needs of different scenarios.

The dexterous hand shows significant differences in load capacity: the maximum static load for a single finger in a bent state is 10 Kg, while the maximum passive load for four fingers in a coordinated bent state reaches 30 Kg. This reflects a differentiated performance design, ranging from fine single-finger manipulation to multi-finger collaborative heavy-duty tasks.