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Education

Lumos FastUMI Go

Built by Lumos Robotics · China

Updated Sep 2026·methodology
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The Lumos FastUMI Go is a Education robot developed by Lumos Robotics (China).

RoboScore

59.3/ 100

Strong evidence

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

3 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 3 scored · blanks don't count

Commercial maturity20%100/100
Deployment footprint20%unknown
Proven track record12%unknown
Spec completeness12%82/100
Company financial health12%unknown
Company maturity8%unknown
Manufacturer portfolio6%72/100
Media mentions (trailing 12 months)6%unknown
Independent recognition4%unknown

Ranked #1 of 78 in the Education standing.

See the standing
Where it has stood44 days · best #1 · worst #27
#1 · started #25#78

4 days carry something the board can name:

  • 19 Aug Its maker's news lifted the score 3.74 — the board noticed.
  • 7 Sept RoboScore rose 1.54 — its evidence changed.
  • 20 Sept Its maker's news lifted the score 1.13 — the board noticed.

One reading per day since 10 Aug, when the current ordering began. The rank above is the reading for 23 Sept, taken against 78 robots — the standing itself is live, so a robot added since then counts there and not here yet.

Will it fit your job?

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Overview

The Lumos FastUMI Go is a mobile data collection workstation designed for embodied AI research. It integrates a high-performance PC (i9 processor, 32GB RAM, 1TB storage), a modular 23000mAh battery system, and an ergonomic backpack (4.415kg total weight) into a single-operator deployable system. It supports long-horizon data collection in dynamic real-world environments with real-time data quality assessment and SLAM with under 0.1% relative displacement error. It runs Ubuntu 20.04 with ROS/ROS2 middleware and interfaces with Lumos FastUMI Pro or Ego Lite cameras for single-arm, dual-arm, egocentric, or full-view capture.

At a glance

  • Built for research development
  • Used across research academic
  • Navigates using LiDAR SLAM and vision
  • Programmed through python and ROS
  • Compatible with ROS
  • Certified to UN38.3 and MSDS

Buyer decision signals

Viability

US$293.8M raised in 2 confirmed roundsest. 2024

Availability

backorder

Specifications

Category: Education
Weight
4.42 kg
Battery
2 h
Price
Contact for quote
Status
active
VerifiedSelf-reportedEstimated

Company profile

Confirmed funding
US$293.8M· 2 rounds
Founded
2024

Detailed specifications

What it is built for7
Applications
research
Sub Category
mobile data collection workstation
Mobility Type
static
Industries Served
research academic
Target Industries
research academic
Primary Applications
research development
Deployment Environment
both
Movement & precision1
Navigation Type
lidar slam,vision
Power & runtime3
Runtime Hours
2
Charging Method
manual swap
Battery Swap Supported
true
Controls & integration8
Lidar Present
false
Sdk Languages
Python,C++
Ros Compatible
true
Air Gap Capable
true
Onboard Compute
i9 processor, 14-core 20-thread, 32GB RAM, 1TB storage
Network Protocols
wifi 6,ethernet
Software Platform
ROS 1 & 2
Programming Interface
code python,code ros
Safety & certification2
Certifications
3C certification, UN38.3, MSDS
Safety Certification
UN38.3,MSDS
Buying & support7
Price Tier
150K+
Datasheet Url
Preview PDF online
Model Variants
Lumos LUS,Lumos MOS,Lumos NIX,Lumos LUD
Price On Request
true
Is Research Grade
true
Availability Status
backorder
Deployment Maturity
production scale
Other details21
Os
Ubuntu 20.04
Middleware
ROS/ROS2
Net Weight
0.87 kg
Pairs With
Lumos Ego Lite
Form Factor
backpack-mounted mobile data collection unit
Ros Support
ros2 community
Compute Host
Intel i9
Intended Use
real-physical-environment dynamic tasks: field work, supermarket inspection, multi-room household sequences
Slam Accuracy
<0.1% relative displacement error
Recording Mode
continuous untethered
Processor Cores
14 cores / 20 threads
Positioning Tech
ToF + vSLAM dual-path
Battery Chemistry
LiFePO4
Backpack Weight Kg
0.87
Quality Assessment
real-time built-in closed-loop quality assessment
Storage Expandable
true
Programming Methods
hand coded,teleop demonstration
Battery Capacity MAh
23000
Positioning Accuracy Mm
3
Tethered Operation Available
false
Software Subscription Required
false

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.

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Where to buy

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Lumos Robotics in the news

the maker

8 events

Lumos Robotics Launches NexCore to Cut Robotic Skill Development from Weeks to Days

News about Lumos Robotics, the maker — not about this robot specifically, except rows marked this robot. Collected and classified independently across 10 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 Lumos Robotics news

Frequently asked questions

Who makes the Lumos FastUMI Go?
The Lumos FastUMI Go is developed by Lumos Robotics, based in China.
What type of robot is the Lumos FastUMI Go?
The Lumos FastUMI Go is a Education robot made by Lumos Robotics.
How much does the Lumos FastUMI Go cost?
Pricing for the Lumos FastUMI Go is not publicly listed — contact Lumos Robotics for a quote.

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