Robot model
A2I2
Forth's A2I2 (Autonomous Aquatic Inspection and Intervention) is a tetherless intelligent underwater robot fitted with sonar to detect and avoid obstacles…
- Manufacturer
- Forth Engineering
- Form factor
- underwater_drone
- Lifecycle
- active
Verified profile
1
Sources on record
0
Tracked changes
Updated recently
Last verified change
Overview
Forth's A2I2 (Autonomous Aquatic Inspection and Intervention) is a tetherless intelligent underwater robot fitted with sonar to detect and avoid obstacles while inspecting hazardous environments such as nuclear storage ponds.
Verified vs. claimed
- Verified deployments
- None on file
- Sources on file
- 1 source, view all
Safety record
No incidents on record for A2I2.
Only active incidents are counted. Retracted incidents are excluded from this summary but remain reachable at their canonical URLs.
Sources (1)
Common questions
- What is A2I2?
- Forth's A2I2 (Autonomous Aquatic Inspection and Intervention) is a tetherless intelligent underwater robot fitted with sonar to detect and avoid obstacles while inspecting hazardous environments such as nuclear storage ponds.
- Who makes A2I2?
- A2I2 is made by Forth Engineering, based in Maryport, Cumbria, UK.
- Where is A2I2 deployed?
- No verified deployments of A2I2 are currently on the DEPLOY registry. DEPLOY records deployments only when verified at a named site with a primary source; absence may reflect pre-deployment, research, or manufacturer-internal use.
- Is A2I2 safe?
- A2I2 has no incidents on record in the DEPLOY registry. This does not constitute a safety guarantee; it reflects the incidents DEPLOY has tracked and verified to date.
Methodology: Verified · 1 source (no primary) · last reviewed 2026-06-28
Verification posture
Verified
Low confidence
Review state
Stable
Last reviewed 2026-06-28
Maturity + lifecycle
Lifecycle: active
Architectural position
Cohort: underwater_drone
Sources by quality tier
- 1
- unclassified
- Unclassified source
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for A2I2.Machine-readable surfaces
- Markdown mirror: /models/forth-a2i2.md
- JSON-LD: embedded in this page’s head
- REST API: /v1/models/a2052b9a-fc2d-4a4f-abc5-f195660a32c1
- Revision history: /models/forth-a2i2/history
- Data documentation: /data
- Query this programmatically: Deploy MCP
Video
The new Deakin Research Institute A²I² was launched on March 2019. In this video the Co-Directors of the institute discuss artificial intelligence, the need for
We are visiting the RAS unit, where the army is testing various automated systems. These are mainly semi-autonomous systems, but careful further development is
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Dr. Chad Kessens demonstrates a prototype component for suction grip on robots at the U.S. Army Research Laboratory, Aberdeen Proving Ground, Md.
Forth Engineering Group in Maryport, Cumbria, explain why they use UK Accountants of the Year J F Hornby & Co - http://www.jfhornby.co.uk/. Forth Engineering a
This lays out the goals and the research thrusts of the Army Research Lab (ARL) funded 5-year effort on assured autonomy, that spans 2020-25. This is part of th
When it comes to robotics research, advancements in speech and natural language processing plus gestures and pointing, user interfaces and visual perceptions co
Colleagues of the Johns Hopkins University Community are invited to join the Johns Hopkins Institute for Assured Autonomy (IAA)’s 2021 Knowledge Sharing Event,
This is our demonstration video for the paper "Threshy: Supporting Safe Usage of Intelligent Web Services", by Alex Cummaudo, Scott Barnett, Rajesh Vasa and Joh
Đây là một bài blog mình viết cách đây vài năm về cách xây dựng trợ lý ảo này: https://a2i2.deakin.edu.au/2020/12/02/lessons-learned-from-implementing-face-reco
DEPLOY Intelligence Score
27.4/ 100
6-month trend
Analysis
Thin deployment record; scale validation still in progress.
Signal flags
Dimension breakdown
Safety Record
Adoption Spread
Market Presence
IP Activity
Deployment Scale
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.
Last computed: Jul 3, 2026
Intelligence layer