Atlas D

Robotics
Project configuration

Atlas D reference
Concept illustration; not a photograph of the delivered system.

Desktop bimanual learning platform

Discover the details

System overview

Built around
your research.

Build a bimanual demonstration and execution environment on a standard desk, with a focus on grasping, coordinated manipulation and repeatable experiments.

Leader-follower setup
4 arms
Reference single-arm payload
1.5 kg
Reference single-arm reach
626 mm

Configuration, lead time and delivery scope confirmed with your inquiry.

Design & capability

Designed for the task.

Desktop experiments

Leader-follower bimanual hardware supports coordinated operation and demonstrations in a fixed workspace.

Modular installation

Desktop mounts and fixtures support workstation changes; verify safety and calibration after installation.

Development access

Reference interfaces and examples can support sensor and actuator extensions, subject to the delivered configuration.

Specifications

Configuration details and measurement conditions.

Reference kit
Arms4 x Atlas A6
Teaching devices2
Depth cameras3
Desktop mounting set1
G-clamps8
Reference single-arm performance
Arm mass4.2 kg
Payload1.5 kg
Reach626 mm
Repeatability+/-0.1 mm
Compute optionsRTX 4070 / 4080 / 4090 / 5070 / 5080 / 5090 workstation options. Power, cooling, installation and software compatibility require engineering review; high-power GPUs may use an external workstation.

Single-arm payloads cannot be added to establish a bimanual payload rating. Camera models and compute inclusion require confirmation.

Delivery and validation

Agree on the complete configuration.

Project integration configuration. Images are concept illustrations, not delivery photographs or engineering CAD. Reference specifications do not establish completed integration, proprietary ownership or brand authorization. Final hardware and performance are subject to project validation and acceptance.

  • Confirm the original manufacturer, procurement and branding permissions, then freeze the bill of materials.
  • Specify cameras, compute, end effectors, control interfaces, software versions and licenses.
  • Verify the workspace, emergency stop, collision controls and communication-loss response before experiments.
  • Validate recording, calibration, timing and task performance on the delivered configuration.

Training and deployment

Plan compute for this platform.

Plan GPU compute, model training and hosted inference, with control kept on the robot.

Training & Compute →

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