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Mobile Manipulator

DOBOT E6 ROS Mobile Platform

Built by Dobot · China

Updated Oct 2026·methodology

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The DOBOT E6 ROS Mobile Platform is a Mobile Manipulator developed by Dobot (China). Key specifications: base speed 0.5 m/s, navigation LiDAR SLAM, ros Yes, ai runtime On-device.

RoboScore

48.0/ 100

Adequate evidence

No confirmed deployment on record — this score reflects the rest of the record, not verified adoption.

5 of 9 signals present

Recomputed nightly from public data. Missing data is skipped, never zero-filled — and rankings are never for sale.

Weighted factors

average of the 5 scored · blanks don't count

Commercial maturity20%75/100
Deployment footprint20%unknown
Proven track record12%unknown
Spec completeness12%58/100
Company financial health12%82/100
Company maturity8%55/100
Manufacturer portfolio6%100/100
Media mentions (trailing 12 months)6%unknown
Independent recognition4%unknown

Ranked #24 of 43 in the Mobile Manipulator standing.

See the standing
Where it has stood71 days · best #17 · worst #24
#1 · started #18#43

Nothing changed about DOBOT E6 ROS Mobile Platform itself — these days are its maker's news:

  • 7 Aug Its maker's news lifted the score 2.08 — the board noticed.
  • 15 Aug Its maker's news lifted the score 1.67 — the board noticed.
  • 27 Sept Its maker's news lifted the score 2.19 — the board noticed.

One reading per day since 3 Aug, when the current ordering began. The rank above is the reading for 13 Oct, taken against 43 robots — the standing itself is live, so a robot added since then counts there and not here yet.

Specs not manufacturer-verified

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Overview

The DOBOT E6 ROS Mobile Platform integrates a DOBOT Magician E6 robotic arm with a mobile chassis. It enables object recognition, localization, grasping, and transportation tasks, supporting vision-based mobile grasping experiments for indoor robots. The platform supports SLAM mapping, intelligent obstacle avoidance, autonomous navigation, path planning, deep vision AI recognition, and vision-based mobile grasping. The mobile chassis has dimensions up to 520x520x350mm, weighs up to 25kg, and supports a maximum payload of 50kg. Battery life is at least 6 hours without load and over 2 hours with load. Navigation accuracy is ±5cm, and maximum speed is at least 0.5m/s. It features dual LiDAR, configurable 2D/3D cameras, and an industrial PC with ROS communication for custom development.

At a glance

  • Built for pick and place, inspection and lab automation
  • Used across education, research and scientific research
  • Programmed through ROS
  • Public API for integration

Buyer decision signals

Viability

US$15.6M raised in 1 confirmed roundest. 2015

Availability

available

Specifications

Category: Mobile Manipulator
Base speed
0.5 m/s

Top 91% of 40 models with this spec

Navigation
LiDAR SLAM
ROS
Yes
AI runtime
On-device
VerifiedSelf-reportedEstimated

Company profile

Confirmed funding
US$15.6M· 1 round
Founded
2015

Detailed specifications

What it is built for3
Applications
pick and place,inspection,lab automation
Sub Category
wheeled manipulator
Industries Served
education,research,scientific research
Size & capacity1
Dimensions Mm
≤520*520*350
Movement & precision1
Obstacle Avoidance
Yes
Sensing & perception5
Lidar Count
2
Sensor Suite
Dual LiDAR
Lidar Present
Yes
Lidar Range M
20
Camera Present
Yes
Controls & integration4
Api Available
Yes
Onboard Compute
Industrial PC
Compatible Vision
2D cameras,3D cameras
Software Platform
ROS
Buying & support1
Availability Status
available
Other details21
Sensors
dual LiDAR (min); configurable 2D/3D cameras
Arm Model
Magician E6 (6-axis, 750g, 450mm)
Controller
industrial PC, ROS, ≥4GB RAM, ≥64GB storage
Battery Life
≥6h no-load, >2h loaded
Capabilities
SLAM mapping, obstacle avoidance, autonomous navigation, path planning, deep-vision AI recognition, vision-guided mobile grasping
Drive System
independently suspended wheels, spot-rotation
Rated Voltage
24V
Lidar Accuracy
±3cm
Base Payload Kg
50
Rated Voltage V
24
Processor Ram Gb
≥4
Chassis Weight Kg
25
Lidar Accuracy Cm
3
Navigation Accuracy
±5cm
Range Measurement M
20
Processor Storage Gb
≥64
Chassis Dimensions Mm
≤520×520×350
Compatible Robot Type
Magician E6
Max Chassis Payload Kg
50
Navigation Accuracy Cm
5
Critical Stop Precision Mm
5

Who runs it· deployment evidence

No deployment evidence on file

A deployment is recorded when a public source names the customer, or the maker confirms it. Nothing here counts against this robot.

1 other robot in this category has one.

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Where to buy

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Company milestones

  • Mar 2024LaunchDobot announces X-Trainer availability
  • Jul 2021LaunchDobot CR16 Hardware User Guide V1.3 Released
  • Nov 2019LaunchMagician Lite unveiled
  • Feb 2019DeploymentThird batch mass production and delivery of ATOM began
  • 2026DeploymentATOM deployed at K11 Cinema popcorn counter
  • 2026LaunchDOBOT to debut next-generation cobot at Automate 2026
  • 2025LaunchATOM launch announced by DOBOT
  • 2025MilestoneAtom positioned for industrial and commercial tasks

Dobot in the news

the maker

8 events

Robust expansion of the CR Cobot Series: DOBOT launches CR10 at the Hannover Messe 2022

News about Dobot, the maker — not about this robot specifically, except rows marked this robot. Collected and classified independently across 15 outlets, so a maker cannot add to it. It never changes this robot's RoboScore — the evidence half of the RoboIndex — and it can move it up a board by at most 15 points. See all Dobot news

Frequently asked questions

Who makes the DOBOT E6 ROS Mobile Platform?
The DOBOT E6 ROS Mobile Platform is developed by Dobot, based in China.
What type of robot is the DOBOT E6 ROS Mobile Platform?
The DOBOT E6 ROS Mobile Platform is a Mobile Manipulator made by Dobot.
How much does the DOBOT E6 ROS Mobile Platform cost?
Pricing for the DOBOT E6 ROS Mobile Platform is not publicly listed — contact Dobot for a quote.
What are the key specifications of the DOBOT E6 ROS Mobile Platform?
Key specifications of the DOBOT E6 ROS Mobile Platform: base speed 0.5 m/s, navigation LiDAR SLAM, ros Yes, ai runtime On-device.

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