Thinking·OS

Graph explorer

Explore the knowledge graph

Actuator is part of Robot. Activate to inspect this relation.Actuator depends on Embedded control. Activate to inspect this relation.Hydraulic actuator is a Actuator. Activate to inspect this relation.Autonomous navigation is part of Robot. Activate to inspect this relation.Degrees of freedom applies to Manipulator. Activate to inspect this relation.End effector is part of Manipulator. Activate to inspect this relation.Feedback Control requires Actuator. Activate to inspect this relation.Inverse kinematics enables Path planning. Activate to inspect this relation.Inverse kinematics is a Kinematics. Activate to inspect this relation.Manipulator is part of Robot. Activate to inspect this relation.Power electronics enables Actuator. Activate to inspect this relation.Control loop requires Actuator. Activate to inspect this relation.Control loop requires Robotic sensor. Activate to inspect this relation.Robot depends on Artificial intelligence. Activate to inspect this relation.Kinematics models Manipulator. Activate to inspect this relation.Kinematics is part of Robot. Activate to inspect this relation.Robotic autonomy depends on Path planning. Activate to inspect this relation.Robotic autonomy depends on Control loop. Activate to inspect this relation.Robotic autonomy depends on Simultaneous localisation and mapping. Activate to inspect this relation.Robotic sensor is part of Robot. Activate to inspect this relation.Servomotor is a Actuator. Activate to inspect this relation.Simultaneous localisation and mapping depends on Robotic sensor. Activate to inspect this relation.Robotic sensorRobotControl loopSimultaneous localisation and mappingArtificial intelligenceActuatorAutonomous navigationManipulatorKinematicsRobotic autonomyEmbedded controlHydraulic actuatorFeedback ControlPower electronicsServomotorDegrees of freedomEnd effectorInverse kinematicsPath planning
Relationship types

13 concepts viewed through this lens. Bridge concepts connect this view to Artificial Intelligence, Computer Science, Control Theory, Engineering….

Legend
  • Focused concept
  • Connected concept
  • Bridge concept (just outside the lens)
  • Arrow points from cause / source to effect / target
  • A line with no arrow is a two-way relationship
  • Node colour marks the concept’s primary discipline
19 concepts22 relationships6 disciplines5 relation families

Robotic sensor

Open concept →

At a glance

A device that measures the robot’s state or environment and feeds it to the controller.

Disciplines
Robotics
Role in the graph
Connector
Relationships
3 · 2 relation families

What am I looking at?

In this lens (13)

Bridge concepts (6)

Just outside the lens — they connect it to other context.

Insights from this view

Structural observations about the concepts shown here — descriptions of this graph, not claims about the world.

  • This view connects 6 disciplines: Artificial Intelligence, Computer Science, Control Theory, Engineering, Mechatronics, Robotics.
  • Actuator is a bridge concept — viewed here through Engineering, Mechatronics, Robotics.
  • The connections here span 5 relation families.

Relationships as a list

The focused concept’s relationships. Pick another concept in the graph above to update this list.

Explore through a different lens

A lens is a deterministic projection of the graph. Pick a discipline, thinking pattern or journey to reframe the whole view.

By discipline

ChemistryBiologyPhysicsMathematicsComputer ScienceGeologyMineralogyEconomics

By thinking pattern

Bayesian updatingCause and effectCompoundingConservationConstraintsDefense in depthDiffusion & spreadEmergenceEnergy transformationEntropy & irreversibilityEquilibriumFeedback loopIncentivesInformationLevels & hierarchyModularityNetworksOptimizationOscillationProbabilityRecursion & self-similarityScaleSignal vs noiseSource–pathway–receptorStocks and flowsSymmetry & invarianceThresholds & tipping pointsTrade-offsTriangulationVariation & selectionWaves

By journey

From a Leaf to the ClimateWhy Music Moves UsHow Machines LearnReasoning about a Leaf and the Climate

Concept collections

Concept collections are curated lenses onto the fabric — themed sets of ideas that recur across disciplines. They are not journeys; they are a way to read the graph.

About this view

What this is

Start from one concept and expand outward. The view never shows everything at once — click a node to refocus, filter by relationship type, or switch to an accessible list.

One fabric

3750 concepts and 5051 typed relations form one connected component — no isolated silo.

How to read it

Focus a concept, or apply a lens (discipline, mental model, journey) to see only the threads that matter.