PAL Robotics REEM-C vs PaXini TORA-series tactile humanoid robot (e.g., TORA ONE / TORA DOUBLE ONE)
- PAL Robotics REEM-C by PAL Robotics
- PaXini TORA-series tactile humanoid robot (e.g., TORA ONE / TORA DOUBLE ONE) by PaXini Tech
Specifications as each maker states them, side by side. The (i) beside a value links to its source.
Compare specifications
6 of 34 specs differ across 2 models
| Spec | PAPAL Robotics REEM-C | PAPaXini TORA-series tactile humanoid robot (e.g., TORA ONE / TORA DOUBLE ONE) |
|---|---|---|
| General | ||
| Height | 1650 mm | 1460 mm |
| Degrees of Freedom | 44 | 53 |
| Walking Speed | 0.69 m/s | 0.6 m/s |
| Weight | 70 kg | 80 kg |
| Onboard Compute | 2× Intel Core i7 computers | — |
| Sensors | Stereo camera, force/torque sensors + laser rangefinders in feet, 4-microphone array | 5x RGB cameras (3 head + 1 per hand), 2x RGB-D cameras (1 head + 1 chassis), LiDAR (for SLAM navigation), multi-dimensional tactile sensing (ITPU; 6D Hall-array tactile tech) |
| Rated Payload (single arm, including hand, horizontal) | 1 kg | 5 kg |
| Network | ROS / ROS2 | — |
| Payload Capacity | 10 kg | — |
| Battery Life | — | 8 h |
| Autonomy Level | — | semi-autonomous |
| Body Degrees of Freedom (excluding hands) | — | 21 |
| Hand Degrees of Freedom (both hands total) | — | 32 |
| Fingers per Hand | — | 4 |
| Degrees of Freedom per Hand | — | 16 |
| Active Degrees of Freedom per Hand | — | 13 |
| Passive Degrees of Freedom per Hand | — | 3 |
| Hand Actuation Type | — | Coreless (hollow cup) motors |
| Arm Repeatability | — | 0.5 mm |
| Maximum Single-Arm Reach (including hand) | — | 96.5 cm |
| Fingertip Force Control Resolution | — | 0.01 N |
| Maximum Turning Angular Velocity | — | 0.4 rad/s |
| Repeat-to-Point Accuracy | — | 1.5 cm |
| Absolute-to-Point Accuracy | — | 3 cm |
| Heading Error | — | 3 deg |
| Obstacle Crossing Height | — | 2 cm |
| Gap Crossing Width | — | 2 cm |
| Maximum Slope | — | 7 deg |
| ITPU Tactile Sensing Units | — | 2280 |
| Tactile Signal Channels | — | 6840 |
| Number of Tactile Perception Types | — | 15 |
| RGB Camera Count | — | 5 |
| RGB-D Camera Count | — | 2 |
| Navigation Method | — | LiDAR SLAM |