nexustandards.com/digital-ai · 2 taught
Digital, Cyber and AI
NRS-H100 Robotics, autonomy and autonomous weapons; NRS-M19 Cyber, AI and frontier technology
Illustrative: packages on a board with routed traces carrying clocked signals, or a data hall of racks and their status lights
Risk Academy, led by the Nexus Consortium · Technology and Digital Systems · Department of Artificial Intelligence and Autonomous Systems
Industrial robots, autonomous vehicles, drones and functional safety
Robotics and autonomous systems covers machines that act in the physical world, from collaborative robots and autonomous vehicles to drones and uncrewed systems.
Courses in development extend the scope to further subjects: Industrial automation and robotics safety; Autonomous vehicles, drones and uncrewed systems.
Search any place or open the world; the layers and generators follow robotics and autonomous systems on the planet map, the globe and in 3D.
Drag to move, right drag or Shift with a drag to turn and tilt, Ctrl with the wheel to zoom. Keyboard: arrows move, Shift with arrows turn and tilt, + and – zoom, 0 resets, V steps through the views, Escape clears.
Flat plan of the same data: relief as contours from the inline grid, the mapped ground infrastructure by kind, the mapped cables and the numbers below. The 3D twin opens on devices that can draw it, once its data and code have been checked.
The boundaries, names and designations shown do not imply any judgement on the legal status of any territory, or any endorsement or acceptance of such boundaries. Countries: Natural Earth (public domain).
Flood water, active fires and surface heat beside population and night-time lights, over the Caribbean.
The interactive map needs JavaScript; the layer list and sources are below.
Layers 3
Hazards and exposure
Keyboard, with the map focused
Hold Ctrl or ⌘ and scroll to zoom
Latest available
NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth
Loading the latest NASA imagery.
Drag to move. Ctrl or ⌘ and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.
Hazards and exposure, framed on the Caribbean.Satellite and model products as NASA publishes them, each with its own date. They are indicators, not assessments of any place.
Layers and dates
For safety engineers, fleet operators, regulators and insurers who must decide whether a robot, vehicle or drone can act in a given environment and what evidence that decision needs.
Each method is listed with what it assumes and where it fails.
Bodies and standards are named so learners can find and apply their published work; the Academy teaches their use and links to the publisher, and no affiliation is implied.
To show a failure rate below a target with stated confidence and no failures observed, a fleet must drive minus ln(1 minus confidence) divided by the target rate; for fatality-class events that is hundreds of millions of kilometres, so a deployment decision needs an argument built from more than fleet data.
Sources: Kalra and Paddock, Driving to safety: How many miles of driving would it take to demonstrate autonomous vehicle reliability? (2016); Koopman and Wagner, Autonomous Vehicle Safety: An Interdisciplinary Challenge (2017); Burton et al., Mind the gaps: Assuring the safety of autonomous systems from an engineering, ethical, and legal perspective (2020); Hawkins et al., Guidance on the Assurance of Machine Learning in Autonomous Systems (AMLAS) (2021).
risksacademy.comtechnology-digitaldiscipline
The Nexus Standards the discipline teaches toward, grouped by master standard, with the disciplines that teach each.
nexustandards.com/digital-ai · 2 taught
NRS-H100 Robotics, autonomy and autonomous weapons; NRS-M19 Cyber, AI and frontier technology
nexustandards.com/energy-infrastructure · 1 taught
NRS-T11 Robotics and autonomous systems risk
Nexus Standards at the AcademyThe Academy proposes how each discipline teaches toward the Nexus Standards; the mapping is open for public review.
Research and preprints as they are published, by discipline, with the faculty's other tools.
The hub lists the newest research and preprints for Robotics and autonomous systems, each with its source and date. Open the research hub
Recent developments in robotics and autonomous systems, each with its source; sources checked on 16 October 2026.
Courses for this discipline are in development; until they open, study it through the connected courses and open lessons below.
The course catalogue lists every open course of the Academy.
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One for each course with this as its primary discipline, earned when you pass the course's assessed activities.
An achievement is a record of the learning completed and assessed here. How recognition works.
Field platforms of the ecosystem where the subject is studied and applied.
Foundry system pages describe what each system and its rooms are designed to do; the courses teach the methods these systems apply.
Start from who you are.
Start with Koopman, then Kalra, then Leveson.
Key terms
A robot designed to work alongside people in a shared space.
The conditions, such as roads, weather or speeds, under which an autonomous system is designed to work.
Safety that depends on control systems working correctly in response to their inputs.
An aircraft flown without a pilot on board, with its control station and links.
Reports is the Consortium's quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.
Open courses in connected disciplines teach the methods this discipline will build on.