DOBOT Atom Max EDU Humanoid Robot

• DOBOT Atom Max EDU Humanoid Robot
• 29 full-body DoF humanoid platform purpose-built for embodied AI training and research
• Includes Embodied AI Operation Model and AI Data Toolchain out of the box
• 1500 TOPS AI with Intel i9, 24-core processor, and 41.15 TFLOPS dedicated GPU
• 7-DoF industrial bionic arms with ±0.05mm repeat positioning accuracy
• Full sensor suite: 3D LiDAR, RGB-D cameras at head, wrists, and waist
• 6-DoF dexterous hands x2 included; Teleoperation Kit and Embodied AI Data Toolchain included

The DOBOT Atom Max EDU Humanoid Robot is a full-scale humanoid AI robotics platform developed by DOBOT for educational institutions and research teams building embodied AI capabilities. Sharing the same full-body hardware as the Research version, it comes with DOBOT's Embodied AI Operation Model and AI Data Toolchain in Lite form, providing a ready-to-use environment for training manipulation policies and deploying custom AI models at human scale. The platform is structured to support institutions entering the field of humanoid robotics research without the integration overhead of configuring training pipelines from scratch. It covers the full workflow from demonstration data collection to policy training and on-robot inference.

The robot's onboard edge computing supports real-time AI inference and end-to-end control, making it practical for both teleoperation training sessions and autonomous task evaluation in laboratory environments. Its multi-camera perception system at the head, wrists, and waist delivers the sensor coverage required to build richly annotated training datasets across manipulation and navigation scenarios. Optional dexterous hands and 2-finger adaptive grippers are available to extend the platform's manipulation capability as research programs mature. With full SDK access, dual-mode teleoperation, and standard documentation support, the platform is well-suited for university labs, vocational training centers, and research groups developing the next generation of embodied AI systems.

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Documentation & Resources

Full access to detailed technical guides and a comprehensive knowledge base

Model Features

Three hardware systems that define the DOBOT Atom Max: industrial-grade bionic arms, optional 6-DoF dexterous hands, and a straight-knee walking platform built for continuous operation.

Bionic
Arms →

Bionic
Arms

7-DoF per Arm

Single arm DoF: 7

Payload: 3.5 kg

Reach: 600 mm

Repeat accuracy: ±0.05 mm

Max end speed: 1.5 m/s

Straight-Knee
Walking →

Straight-Knee
Walking

Chip Label

Max walking speed: 1.5 m/s

Gait system: AWS neural network

Energy savings: 42% vs bent-knee gait

Workstation range: 700 to 1000 mm height

End-to-end reinforcement learning for human-like motion stability.

Full-Spectrum
Perception →

Full-Spectrum
Perception

Multi-Modal Sensors

Head: RGB-D + Full HD Binocular

Wrist: RGB-D Camera ×2

Waist: RGB-D Camera ×2

LiDAR: 3D LiDAR ×1

Audio: 360° mic + 2× speakers

Capabilities

The DOBOT Atom Max (Edu Version) combines full-body humanoid hardware with an out-of-the-box AI training ecosystem, giving institutions an immediately deployable platform for embodied AI research and education.

Embodied AI Operation Model (Lite)

A Lite edition of DOBOT's end-to-end AI operation model is included, allowing teams to feed new task datasets and deploy custom manipulation policies directly on the robot without configuring a training pipeline from scratch.

AI Data Toolchain (Lite)

The included Lite edition of DOBOT's AI Data Toolchain provides structured tools for collecting, annotating, and managing multi-modal demonstration data across manipulation and navigation scenarios, accelerating the iteration between data collection and model training.

Full-Spectrum Perception

A 3D LiDAR unit, RGB-D cameras at the head and wrists, and waist-level depth cameras work alongside a Full HD binocular vision system to provide the dense sensor coverage needed to build richly annotated training datasets across diverse environments.

Dual-Mode Teleoperation & SDK

Full-body and segmented teleoperation modes give researchers flexible control for structured demonstration collection sessions. Full SDK access with high-precision URDF models and open-source training frameworks supports deep customization from locomotion research to manipulation policy development.

Use Cases & Application Scenarios

The DOBOT Atom Max is built for repetitive, precision-dependent tasks in environments where positions vary, products differ by specification, and the ability to navigate narrow spaces is critical to efficient operation.

Industrial Manufacturing & Assembly

The Atom Max handles material transfer, component placement, and multi-step assembly tasks on automotive and electronics production lines. Its dexterous hands and high-accuracy arms allow it to operate across varying workstation heights without reprogramming between tasks.

Service and Commercial Operations

In coffee shops, pharmacies, and retail environments, the robot manages repetitive service tasks such as beverage preparation, inventory retrieval, and item dispensing with consistent precision. Its compact-space maneuvering and straight-knee locomotion make it well-suited for customer-facing deployments with limited floor space.

Robotics Research & Development

Research institutions use the Atom Max as a full-body testbed for locomotion algorithms, manipulation policies, and embodied AI model development. The open SDK, high-precision URDF models, and VR/MR teleoperation support enable rapid iteration from simulation to physical deployment.

Multi-Robot Collaborative Systems

The platform integrates into multi-robot workflows on shared production lines and in service environments requiring coordinated operation across several units. Its advanced edge computing and built-in human-robot interaction capabilities ensure safe, synchronized task execution alongside human workers.

Embodied AI Training & Data Collection

Teams developing task-specific AI models use the Atom Max to collect multi-modal demonstration data across manipulation and locomotion scenarios. The included Embodied AI Data Toolchain and wrist cameras enable structured collection pipelines that feed directly into training and inference workflows.