The knowledge base for intelligent machines and systems

TypeDB gives robotic systems a structured world model that represents objects, relationships, and constraints directly. It enables reasoning across perception, planning, and control, helping robots act safely and intelligently in complex environments.

Explore world navigation schema
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Why TypeDB is so strong in robotics

Robotics data is contextual by nature. A robot’s understanding of the world depends on what things are, where they are, and how they interact. But most systems store this data in fragments such as ROS messages, parameter servers, JSON configs, or ad-hoc SQL tables.

TypeDB provides an intelligent robotics system that can interact with, and more importantly, react to the world around it, and make decisions based on those insights.

Semantic grounding

Represent the world as entities and relationships as opposed to point clouds and variables.

Task reasoning

Model actions, dependencies, and goals with constraints that mirror real-world logic.

Safety and explainability

Enforce consistency across changing environments, so a robot never acts on invalid assumptions.

Robotics: World navigation schema

View the schema for an autonomous system using TypeDB for robotic navigation of the world.

Open in GitHub

How TypeDB enables self-adaptive robotics

Explore how TypeDB can be used to support self-adaptation in the field of robotics

Read article

Symbolic AI in Robotics

TypeDB gives robots the ability to reason independently without having to rely exclusively on human intervention or expensive machine learning approaches.

Read paper

Model the world precisely

TypeDB stores entities like objects, locations, agents, and tasks as semantically defined types. Instead of encoding the world as numeric arrays or hard-coded maps, you define it as a structured graph of relationships.

  • Represent spatial, functional, and ownership relationships.
  • Encode changing state (grasped-by, located-in, powered-by) as roles and relations.
  • Maintain consistency as the world evolves through roles and constraints defined in the schema.

Value: Every subsystem, from perception to planning and control, queries the same world model.

TypeDB Studio

Planning isn’t just pathfinding; it’s logical reasoning about what must be true before action. TypeDB’s inference engine allows robots to:

  • Chain operations using custom functions (“I can only grasp an object if it’s reachable and unoccupied”).
  • Encode hierarchical task plans and infer blocked or completed dependencies.
  • Generate explanations for failures or alternate plans.

TypeDB answers logically, using schema constraints and inference. Value: Robots plan with understanding, not just coordinates.

Note, we recently shared a paper from the University of DELFT proposing the ROSA model, built on TypeDB.

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