DSR FAQs

Question 1

What is DSR and its primary function?

Accepted Answer

DSR is an MCP (Model Context Protocol) server providing a comprehensive set of tools to query, manipulate, and analyze Deep State Representation (DSR) graphs in real-time, focusing on robot perception and scene understanding.

Question 2

How does DSR facilitate AI and robotics applications?

Accepted Answer

DSR enables AI assistants and robots to interact with perception and scene understanding data via standardized MCP tools, offering real-time graph operations and intelligent node relationship management for dynamic environments.

Question 3

Can I modify DSR graphs using this tool?

Accepted Answer

Yes, DSR offers extensive tools for full CRUD operations, including inserting, updating, and deleting nodes, edges, and attributes within your DSR graphs, ensuring comprehensive data management.

Question 4

What is the distinction between DSR's 'Tools' and 'Resources'?

Accepted Answer

'Tools' are used for both querying and modifying the DSR graph (e.g., insert_node). 'Resources' provide efficient, read-only access to graph data, ideal for high-performance information retrieval without altering the graph state.

Question 5

What types of relationships can DSR graphs represent?

Accepted Answer

DSR graphs support various edge relationship types, including spatial (e.g., 'near'), ownership ('has'), identity ('is'), and association ('is_with') semantics for rich, context-aware representations.

DSR

DSR

소개

주요 기능

사용 사례

소개

주요 기능

사용 사례