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AquiaRobotics

Story 08 · 12 October 2026

Who holds this map together?

SICK makes sensors. On our map it also connects groups of organisations: more of the shortest routes between two others run through it than through anyone else. How much of that depends on SICK alone? We erase its dot, keep everyone else, and count who can still reach whom.

Field of viewThe map’s default view — 6,476 organisations, 8,739 tied pairs, every kind of tie together — and a removal test on it. It describes the routes in our record, not anyone’s dependence in the industry; the data page measures each kind of tie on its own.How much can this map see?

Measured

01 · A piece of the map

What does a line on this map establish?

CNRSshared projectNeura Roboticssame showEuropean CommissiongrantNaïo Technologiesshared projectBoston Dynamicssame showFraunhofershared projectKUKAsame showVTTshared projectSCHUNKsame showPolitecnico di Milanoshared projectAgility Roboticssame showKU Leuvenshared projectSICK AG— a named relationship · - - a shared contextshared project: partners in the same publicly funded project · same show: bothlisted at the same trade shows or conferences · grant
A real extract of the default map: SICK AG and twelve of its neighbours, every line to it labelled by what the record establishes between the two; a line between two neighbours is their own tie, named in the list below. Click a dot to open it on the map with its records.Measured
Data table
NodeKindJoined toWhat we hold
SICK AGorganisationCNRS (shared project); Neura Robotics (same show); European Commission (grant); Naïo Technologies (shared project); Boston Dynamics (same show); Fraunhofer (shared project); KUKA (same show); VTT (shared project); SCHUNK (same show); Politecnico di Milano (shared project); Agility Robotics (same show); KU Leuven (shared project)SICK AG: company, DE.
CNRSorganisationSICK AG (shared project); Naïo TechnologiesCNRS: large group, FR.
Neura RoboticsorganisationSICK AG (same show); European Commission; Boston Dynamics; KUKA; SCHUNK; Agility Robotics; KU LeuvenNeura Robotics: company, DE.
European CommissionorganisationSICK AG (grant); Neura Robotics; Naïo TechnologiesEuropean Commission: large group, BE.
Naïo TechnologiesorganisationSICK AG (shared project); CNRS; European Commission; Fraunhofer; KU LeuvenNaïo Technologies: company, FR.
Boston DynamicsorganisationSICK AG (same show); Neura Robotics; KUKA; SCHUNK; Agility RoboticsBoston Dynamics: company, US.
FraunhoferorganisationSICK AG (shared project); Naïo TechnologiesFraunhofer Gesellschaft ZUR Forderung der Angewandten Forschung eV: large group, DE.
KUKAorganisationSICK AG (same show); Neura Robotics; Boston Dynamics; SCHUNKKUKA: company, DE.
VTTorganisationSICK AG (shared project)Teknologian Tutkimuskeskus VTT Oy: large group, FI.
SCHUNKorganisationSICK AG (same show); Neura Robotics; Boston Dynamics; KUKASCHUNK: company, DE.
Politecnico di MilanoorganisationSICK AG (shared project)Politecnico di Milano: large group, IT.
Agility RoboticsorganisationSICK AG (same show); Neura Robotics; Boston DynamicsAgility Robotics: company, US.
KU LeuvenorganisationSICK AG (shared project); Neura Robotics; Naïo TechnologiesKatholieke Universiteit Leuven: large group, BE.

SICK AG makes sensors, the kind a robot uses to see a pallet or a person. On our map it has 173 ties, and each line means one exact thing: a company states on its website that it partners with SICK, two organisations share a European project, a paper carries both names. The kinds are labelled on the drawing. Read a chain of lines with care. A path from a French startup to SICK to a German university is two records; it is not money, knowledge or parts moving along it. We keep that in mind for everything that follows.

02 · A route

What does “between” mean?

grantsame showCNRSshared projectNeura Roboticssame showEuropean CommissiongrantNaïo Technologiesshared projectBoston Dynamicssame showFraunhofershared projectKUKAsame showVTTshared projectSCHUNKsame showPolitecnico di Milanoshared projectAgility Roboticssame showKU Leuvenshared projectSICK AGheavy line: the shortest route, through SICK AG · - - a way around it · faint: theother ties
The same extract. The heavy line is the shortest route between European Commission and Boston Dynamics, which runs through SICK; dashed, a longer way around it that the extract also holds. The other ties are faint.Measured
Data table
NodeKindJoined toWhat we hold
SICK AGorganisationCNRS (shared project); Neura Robotics (same show); European Commission (grant); Naïo Technologies (shared project); Boston Dynamics (same show); Fraunhofer (shared project); KUKA (same show); VTT (shared project); SCHUNK (same show); Politecnico di Milano (shared project); Agility Robotics (same show); KU Leuven (shared project)SICK AG: company, DE.
CNRSorganisationSICK AG (shared project); Naïo TechnologiesCNRS: large group, FR.
Neura RoboticsorganisationSICK AG (same show); European Commission (grant); Boston Dynamics (same show); KUKA; SCHUNK; Agility Robotics; KU LeuvenNeura Robotics: company, DE.
European CommissionorganisationSICK AG (grant); Neura Robotics (grant); Naïo TechnologiesEuropean Commission: large group, BE.
Naïo TechnologiesorganisationSICK AG (shared project); CNRS; European Commission; Fraunhofer; KU LeuvenNaïo Technologies: company, FR.
Boston DynamicsorganisationSICK AG (same show); Neura Robotics (same show); KUKA; SCHUNK; Agility RoboticsBoston Dynamics: company, US.
FraunhoferorganisationSICK AG (shared project); Naïo TechnologiesFraunhofer Gesellschaft ZUR Forderung der Angewandten Forschung eV: large group, DE.
KUKAorganisationSICK AG (same show); Neura Robotics; Boston Dynamics; SCHUNKKUKA: company, DE.
VTTorganisationSICK AG (shared project)Teknologian Tutkimuskeskus VTT Oy: large group, FI.
SCHUNKorganisationSICK AG (same show); Neura Robotics; Boston Dynamics; KUKASCHUNK: company, DE.
Politecnico di MilanoorganisationSICK AG (shared project)Politecnico di Milano: large group, IT.
Agility RoboticsorganisationSICK AG (same show); Neura Robotics; Boston DynamicsAgility Robotics: company, US.
KU LeuvenorganisationSICK AG (shared project); Neura Robotics; Naïo TechnologiesKatholieke Universiteit Leuven: large group, BE.

Take two organisations on the map and find the shortest route between them. Do that for every pair, and count how often the route passes through one dot: that share is its betweenness. SICK’s is the highest on the map, 12% of shortest routes between two other organisations. A high share does not mean the dot is indispensable. The shortest route can pass through SICK while a longer one goes round; betweenness counts the shortest and ignores the rest. To know whether anyone actually depends on a dot, you have to take it out.

03 · Take SICK out

Who can still reach whom without it?

SICK AG removed503,559.0European Commission removed23,057.0One at random (mean)6625.9pairs left with no path
The removal test on the map’s view, 6,476 organisations and 16,634,713 of 20,966,050 possible pairs joined by some path: one bar per organisation taken out, the pairs that lose every path between them. Random is the mean over 20 seeded draws of one organisation, from 0 to 69,126. It measures our record’s paths, not anyone’s dependence. Positions, graph and counting rules are fixed; only the removed dot changes. Pairs are counted among the organisations that remain.Measured
Data table
Itempairs left with no path
SICK AG removed503,559.0
European Commission removed23,057.0
One at random (mean)6625.9

Erase SICK’s dot, keep every other dot and line, and count the pairs of organisations that could reach each other before and cannot now: 503,559, 3.0% of the 16,634,713 pairs the map connected. Erase the European Commission instead, whose betweenness is nearly as high, and only 23,057 pairs lose their path, 0.1%. Erase one organisation at random and 6,626 do on average. Same measure, similar score, very different consequence. SICK sits on routes the map has no other way around; the Commission sits on routes that also run elsewhere, because a funder tied to a thousand recipients is one dot on many parallel paths.

04 · What it means

Does the map depend on SICK?

SICK AG removed503,559.0European Commission removed23,057.0One at random (mean)6625.9pairs left with no path
The same three bars: SICK AG, the European Commission and one organisation at random taken out of the map’s view, and the pairs left with no path among the organisations that remain. A finding about our record’s routes, not about anyone’s dependence.Measured
Data table
Itempairs left with no path
SICK AG removed503,559.0
European Commission removed23,057.0
One at random (mean)6625.9

A high shortest-path score and an irreplaceable connection are two different properties, and the map shows both. That is the whole finding, and it is a finding about our record: the routes through SICK are the shared projects we collected and the trade shows where it was listed beside others, drawn under the map’s two rules. It says nothing about whether a factory would stop without SICK’s sensors. Change what we collect, or lift the rules that cut the map, and the routes change; the data page runs a removal test of its own. To see how the rules shape the graph, read the story beside this one.

Where to go next

Sources

  1. A piece of the map, as the map draws it — extract.json and route.json: SICK AG and twelve of its neighbours, cut from the same file the map draws, with every tie among them and what the record establishes for each; for each kind of tie SICK holds, its best-connected neighbours. The route is the shortest between two of them with no tie of their own, and the way around it is found by search inside the extract.
  2. Betweenness on the map’s view, on the data page — The organisations the most shortest routes between two others run through, computed exactly on the map’s view of 6,476 organisations, with each one’s ties.
  3. The removal test — removal.json: on the map’s view, the pairs of organisations with some path between them before and after one organisation is taken out — SICK AG, the European Commission, and one at random over 20 seeded draws. Undirected, unweighted, exact connected components; a lost pair has neither end equal to the removed organisation.
  4. The map’s view: its size — audit.json: the organisations and tied pairs of the map’s default view, every kind of tie together, kept to pairs with a core organisation at one end.