IEEE P1873/D1.0.1, Jan 2015 PDF | Request Standard
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IEEE P1873/D1.0.1, Jan 2015

IEEE Approved Draft Standard for Robot Map Data Representation for Navigation

Standard by IEEE, 2015

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  • Language: English
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  • Updates: Not Included
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  • Language: English
  • License Type: Enterprise / Multi User
  • Updates: Included

About This Item

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IEEE P1873/D1.0.1, Jan 2015 is an approved draft standard focused on robot map data representation for navigation. It addresses how mapping information can be structured so robotic systems can interpret environments more consistently during path planning and movement. In the context of robotics and control systems, this kind of specification can support better interoperability, clearer data exchange, and more predictable navigation behavior across different implementations.

What is IEEE P1873/D1.0.1, Jan 2015?

This draft standard defines a technical framework for representing robot map data in a way that can be used for navigation-related functions. IEEE P1873/D1.0.1, Jan 2015 is relevant where robots need to store, share, or process map information with a common structure. By focusing on map data representation, it helps establish consistent terminology and data organization that may be used in software, control logic, and navigation workflows for robotic systems.

Where is IEEE P1873/D1.0.1, Jan 2015 used?

IEEE P1873/D1.0.1, Jan 2015 is most relevant in robotics applications that depend on internal maps for movement and route selection. It may be used in autonomous mobile robots, guided platforms, warehouse navigation systems, and other control environments where map data must be exchanged between modules or tools. The standard can also be useful in engineering workflows that compare navigation data formats, validate mapping behavior, or align robot software components around a shared representation.

Why is IEEE P1873/D1.0.1, Jan 2015 important?

Consistent map data representation can reduce integration problems when navigation systems rely on multiple software or hardware components. IEEE P1873/D1.0.1, Jan 2015 matters because it supports clearer design control, more repeatable testing, and better compatibility across robotics implementations. For teams working on navigation performance, having a defined standard may help limit interpretation errors, improve procurement decisions, and reduce risk when exchanging map-related data between systems.

  • Robot map data representation
  • Navigation-oriented data structure
  • Robotics and control system context
  • Interoperability and validation support
  • Approved draft, inactive status
SKU: 2c372d873416

  • Publication Date: 2015
  • Standard Status: Inactive
  • Publisher: IEEE
  • Subject: Robotics and Control Systems; Components, Circuits, Devices and Systems
  • Official IEEE: Doi link
  • This Version: P1873 (2015)

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