DOBOT ATOM Context

Market context

DOBOT Atom Trainer is a humanoid robotics platform for embodied AI training with 29 DoF, optional dexterous hands and edge compute.

Target environment: Research labs, AI development environments and embodied AI research facilities.
Workflow context: Embodied AI training, manipulation research and humanoid development using a full hardware and sensor platform.
Customer context: Robotics researchers, AI labs and embodied AI teams developing manipulation and control models.
Deployment model: Commercial product from Dobot for embodied AI and humanoid development.
Commercial maturity: Commercially available humanoid trainer platform with broad sensor and compute configuration.
Adoption constraints: Designed for research and AI training rather than industrial production deployment.
Market position: Extends Dobot beyond cobots into embodied AI training platforms.
Adjacent products: Booster T1, developer humanoid platforms

Factories

Embodied AI training, manipulation research and humanoid development using a full hardware and sensor platform.

Research labs, AI development environments and embodied AI research facilities.

Manipulation: Dexterous manipulation with Neuro-Driven Dexterity System (NDS)
Compute: 1500 TOPS edge computing module on ATOM Max / Trainer configurations
Degrees of freedom: 41 DoF on ATOM Max; 29 DoF on ATOM Trainer
Sensors Summary: 60 FPS Full HD binocular vision, Intel RealSense D455 depth sensing, and 360-degree LiDAR on supported configurations
Operational Environment: Industrial and commercial environments, including compact workstations around 700-1000 mm height
Deployment Maturity: Global mass production and delivery announced in 2025
Form Type: Full-size embodied humanoid robot