Dobot·MG400·ARM-005

Dobot MG400 Desktop Robot Arm

Name: Dobot MG400 Desktop Robot Arm
Brand: Dobot
SKU: ARM-005
Price: 3780.00 USD
Availability: InStock

$3,780.00

Financing available Pay later on net terms, or monthly over 12 to 60 months.See options →

The Dobot MG400 is a four-axis desktop arm (x, y, z and rotation about z) with drag-to-teach and an A4-paper footprint, for top-down pick and place, dispensing and screen testing.

Shipping: Free on every order
Duties and tariffs: In the price, nothing extra at checkout
Minimum order: 1 unit

Datasheet (PDF)Need volume pricing or a custom configuration? Tell us what you need →

Free shipping On every order.
No tariffs at checkout Duties are in the price. Nothing to pay on delivery.
US seller of record US invoices, terms and support.
Maker's warranty Typically 12 months. Unused items can be returned within 30 days.

Research

Class

0.5 kg

Payload

440 mm

Reach

Axes (degrees of freedom)

±0.05 mm

Repeatability

Specifications

Performance

Class: Research
Payload: 0.5 kg
Reach: 440 mm
Axes (degrees of freedom): 4
Repeatability: ±0.05 mm

Mechanical

Weight: 8 kg

Integration

Controller: In the base
Cartesian control (built-in IK): Yes
SDK and interfaces: TCP/IP protocol with Python, C++, C#, Java, ROS, MATLAB, LabVIEW, Android demos; Modbus TCP; DobotStudio Pro, SCStudio
Simulation: URDF / RViz (MG400_ROS)
Grippers: suction cup included; Dobot ecosystem lists third-party grippers

Safety

Collision detection: Yes
Emergency stop: Yes

Specifications and photos are the maker’s published data. Download the datasheet (PDF).

Made by

Dobot

6 products

Typical applications

Machine tending and lab automation
Pick and place, kitting and test stations
Robot learning and teleoperation data collection
Education and research labs
Mobile manipulators

Choosing the right one

Size payload for the gripper, camera and part together, with margin: a 5 kg arm carrying a 1 kg gripper has 4 kg left.
Rated payload holds at full reach. Most arms carry less when fully extended at full speed.
Check that the controller takes Cartesian targets and solves the inverse kinematics itself; otherwise you write that math.
Torque sensors in every joint make force control, collision detection and hand-guiding far better than current-based estimates.
Try the vendor's simulator or URDF before you buy. A clean Python API and simulator are a good sign of the support you will get later.
Hobby servo arms (under about $1,000) suit teaching and prototyping, not production duty cycles.