Robot model
Mobile ALOHA
Stanford's low-cost whole-body teleoperation system for bimanual mobile manipulation data collection, $32K including all peripherals.
- Manufacturer
- Stanford AI Lab
- Form factor
- other
- Maturity
- research
- Lifecycle
- active
The verified answer
As of Oct 2026, DEPLOY verifies Mobile ALOHA, a other by Stanford AI Lab (research). 3 sources back the record.
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Track Mobile ALOHA on Deploy.
We notify you when a verified state change lands on the record, not when the company issues a claim.
Key facts
Form Factor
Maturity
Mobile manipulation system
Task learning demonstrations
Data & sources
Web sources
3
3 sources backing this record.View all →
Pricing
No verified price is on record for Mobile ALOHA. Physical-AI systems are often sold through enterprise contracts or operated as a service rather than at a public list price.
Recent activity
Every change to this record is dated, sourced, and independently verified where marked.
- Record createdAug 9, 2026
Added to the verified registry
Safety record
No incidents on record for Mobile ALOHA.
Only active incidents are counted. Retracted incidents are excluded from this summary but remain reachable at their canonical URLs.
Sources (3)
Common questions
What is Mobile ALOHA?
How much does Mobile ALOHA cost?
Is Mobile ALOHA actually deployed in the real world?
Who makes Mobile ALOHA?
Can you buy Mobile ALOHA?
What are alternatives to Mobile ALOHA?
How does Mobile ALOHA compare to ASML EUV TwinScan?
Is Mobile ALOHA a top other?
What is Mobile ALOHA's maturity stage?
Where is Mobile ALOHA deployed?
Is Mobile ALOHA safe?
Methodology: Verified · 3 sources (no primary) · last reviewed 2026-09-29
Verification posture
Verified
Low confidence
Review state
Stable
Last reviewed 2026-09-29
Maturity + lifecycle
Maturity stage: research
Lifecycle: active
Architectural position
Cohort: other
Sources by quality tier
- 3
- unclassified
- Unclassified source
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for Mobile ALOHA.Recent coverage
Mobile ALOHA in third-party press
Attention vs reality over time
Media mentions per month (area) against verified deployment events (dots). A press spike over a flat deployment line is the hype gap, drawn over time.
In the press
Recent coverage mentioning Mobile ALOHA from third-party publications. Automatically surfaced; not part of the verified registry record.
Persona AI Unveils Physical-AI Robot, Vows to Lead Ecosystem - 동아비즈니스리뷰 | DBR
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Stanford researchers use AI to push the boundaries of what’s possible - Stanford Report
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These AI Robots Want to Do Your Chores for You - CNET
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Why Don’t We Have Robot Maids Yet? - builtin.com
<a href="https://news.google.com/rss/articles/CBMiUEFVX3lxTE1nZ2tsY1N3Tk1GYXlzdy1pbzhBX3VvWThDMzgyaDBsbEdpbVFDVm9Ia3ZORnJvZHlpbXhUb2xoRzNITWpJSHA0OERXOU52bDhv?oc=5"…
ARTIFICIAL INTELLIGENCE IN ARCHITECTURE AND BUILT ENVIRONMENT DEVELOPMENT 2024: A CRITICAL REVIEW AND OUTLOOK, 5th part: Spatiality and robotics to enhance AI in architecture - remspace.cz
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AI-powered robots can now autonomously repair other bots - newatlas.com
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Brilliant Frame, ADeus, Mobile Aloha, Flowpilot — Four Groundbreaking Open-Source And AI Gadget Projects - Swarajya
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Stanford students win hearts in China with shrimp-cooking robot - South China Morning Post
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Researchers from Stanford Present Mobile ALOHA: A Low-Cost and Whole-Body Teleoperation System for Data Collection - MarkTechPost
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Mobile ALOHA: A Robotic Houseworker For Less Than $32,000! - DataDrivenInvestor
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Machine-readable surfaces
- Markdown mirror: /models/mobile-aloha.md
- JSON-LD: embedded in this page’s head
- REST API: /v1/models/b7a54610-3f53-4d97-9ba1-0b174a1d3052
- Revision history: /models/mobile-aloha/history
- Data documentation: /data
- Query this programmatically: Deploy MCP
Reality vs attention
Mobile ALOHA draws attention at the 46th percentile but verifies reality at the insufficient-data level among other robots.
6-month trend
Analysis
Thin deployment record; scale validation still in progress.
Signal flags
Dimension breakdown
Verified signal
Attention (reach, not merit)
DEPLOY Intelligence scores are computed from verified registry data: confirmed deployments, disclosed funding rounds, regulatory filings, active job listings, video viewership, and press coverage. Confidence ratings reflect data availability. Scores update nightly.
DEPLOY Indices — verified vs claimed
Last computed: Oct 2, 2026