TORA DoubleOne

TORA DoubleOne

The TORA DoubleOne is a next-generation lightweight humanoid robot designed for industrial, logistics, and service applications. It features a modular, fully foldable upper body that adapts to various operating heights. Powered by an NVIDIA Jetson AGX Orin, the robot utilizes PaXini's proprietary VTLA model (Vision-Tactile-Language-Action) for superior generalization and reasoning. It is compatible with both a dual-steer AGV chassis (Model P) for stability on industrial floors and a 4WD folding chassis (Model X) for tight spaces and diverse ground conditions.

Manufacturer
PaXini
Rating
★★★★☆(4.0)
Launch Year
2025
Price
USD 50,000 – 150,000
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Robot Specifications

  • Key Features
  • Top Features
  • Other Features

Dimensions

Model P: 686 x 528 x 1671 mm Model X: 774 x 502 x 1687 mm

Weight

Model P: 70 kg Model X: 73 kg

Speed

1.8 m/s (approx. 6.5 km/h)

Runtime

6 hours per charge

Charging Time

4 hours

Battery Pack

54.5 Ah (1384.8 Wh)
Wi-Fi, Bluetooth, 5G
App, voice, gesture

Battery Life

3-5 years
NVIDIA Jetson tools, external sensors
Yes, teleoperation servers

Available Countries

China,global pre-order
Unity, ROS ecosystem

Available Colours

Black, White, Grey

Warranty Info

2 years standard coverage
6.5 kg per arm (Rated lift)
RGB cameras, RGB-D depth cameras, 3D LiDAR, IMU, gyroscope, force sensors, tactile sensors, temperat...

Review Videos

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Frequently Asked Questions

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Q1. What is TORA DoubleOne, and what problem is it designed to solve?

TORA DoubleOne is a wheeled humanoid robot developed by PaXini Technology, a Chinese firm. According to the manufacturer, it addresses challenges in industrial automation and service tasks through multimodal perception and dexterous manipulation.

Q2. What are the main capabilities and key features of TORA DoubleOne?

Key features include modular design, multimodal perception with 3D LiDAR and cameras, and onboard AI computing via NVIDIA Jetson AGX Orin. PaXini states it supports autonomous navigation and human-like manipulation in shared environments.

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