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

Manipulation: Dexterous manipulation with Neuro-Driven Dexterity System (NDS)
Compute: ATOM Max: 1500 TOPS AI module
Degrees of freedom: ATOM Max: 41 DoF; ATOM D: 7 DoF per arm and 2 DoF head
Sensors Summary: ATOM Max: 60 FPS Full HD vision and D455; ATOM D: D455 depth camera and binocular RGB
Operational Environment: Industrial and commercial environments, including compact workstations around 700-1000 mm height