Dobot ATOM-W | Wheeled Humanoid Robot

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產品料號: RBTX-DOBT-0207

DOBOT ATOM-Wheeled

The DOBOT ATOM-W is a wheeled humanoid robotics platform designed for autonomous indoor navigation and precise mobile manipulation. Equipped with two 7-axis robotic arms, a 600 mm reach, a 3.5 kg payload per arm, and ±0.05 mm repeatability, it performs material handling, assembly, and machine operation tasks across multiple workstations. LiDAR-based navigation, RGB-D and stereo vision systems, along with powerful onboard computing, enable autonomous workflows. With SDK support, ROS 2 compatibility, and available URDF models, the platform can be flexibly integrated into research, laboratory, and industrial applications.

通常交貨時間: 3 週
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max. Payload
3.5
kg
DOF
20
Weight
80
kg
Height
1,785
mm
Speed
1.5
m⁄s
Operating time
2.5
h

亮點

https://a.storyblok.com/f/298593/640x480/915d140e18/dobot-atom-w-3.webp

Mobile Precision with Dual 7-Axis Robot Arms

The DOBOT ATOM-W combines autonomous mobility with the capabilities of a high-precision dual-arm robot. Two 7-axis robotic arms, each with a 600 mm reach, enable coordinated material handling tasks such as picking, holding, aligning, and transferring items between workstations. With a rated payload of 3.5 kg per arm and a repeatability of ±0.05 mm, the platform is navigated within +-10mm and particularly well suited for applications that require both mobile flexibility and highly repeatable manipulation. The waist's four degrees of freedom further expand the working envelope, while a total of 20 degrees of freedom without the optional hands provides exceptional mobility within compact production environments.

https://a.storyblok.com/f/298593/640x480/bc3858f53f/dobot-atom-w-4.webp

Autonomous Navigation in Confined Workspaces

The wheeled platform is designed for operation on flat indoor surfaces and combines LiDAR-based navigation with advanced visual perception. A depth camera and an HD stereo camera support localization, object detection, and task execution. According to the manufacturer, the robot achieves a navigation accuracy of ±10 mm and can pass through spaces as narrow as 500 mm. This allows a single robot to serve multiple workstations across a facility without relying on fixed conveyor systems or material transport infrastructure. With travel speeds of up to 1.5 m/s, the system is well suited for dynamic material flow and service applications in manufacturing, laboratories, and research environments.

https://a.storyblok.com/f/298593/1064x563/d7e3c09761/sdk.png

Powerful AI Platform for Development and Research

At the core of the ATOM-W is a high-performance onboard computing system powered by an Intel Core i9 processor with 24 cores and 32 threads. The computing platform is complemented by a GPU delivering a stated FP32 performance of 41.15 TFLOPS. This enables complex perception, navigation, manipulation planning, and AI inference tasks to be processed directly on the robot. The platform also supports modern robotics approaches such as Vision-Language-Action (VLA) models, robot learning, and learning from demonstration. Publicly available SDK, ROS 2, and URDF resources provide developers and researchers with the tools needed to efficiently build, simulate, test, and deploy custom automation solutions and software applications.

https://a.storyblok.com/f/298593/640x480/18e51263e4/dobot-atom-w-2.webp

Flexible Integration and Expandable System Architecture

The ATOM-W was developed as an open platform for robotics development and industrial automation. Through its available SDK, ROS 2 support, and URDF resources, system integrators can seamlessly incorporate the robot into custom software and control environments. Its modular architecture supports expansion with optional 6-DoF dexterous hands, additional depth cameras, wrist or waist-mounted sensors, and force/torque sensors for advanced manipulation tasks. This flexibility allows the platform to be adapted to a wide range of applications, including research, laboratory automation, machine tending, and material handling. For companies and universities alike, this provides a scalable robotics platform that can evolve alongside project requirements and application complexity.

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