Graph Slam Information Guide

  1. Overview to Graph Slam
  2. Important Facts
  3. History
  4. Deep Dive
  5. Future Outlook

Overview to Graph Slam

Full Graph-based SLAM using Pose Graphs (Cyrill Stachniss) Guide
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Important Facts

Graph SLAM - Artificial Intelligence for Robotics Guide
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History

Details Wolfram Burgard, Giorgio Grisetti, and Cyrill Stachniss: Graph-based SLAM in 20 Minutes Update
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Graph-Based SLAM with Landmarks (Cyrill Stachniss)
Graph-Based SLAM with Landmarks (Cyrill Stachniss)
Graph Based SLAM and Loop Closure
Graph Based SLAM and Loop Closure
Graph SLAM Demonstration
Graph SLAM Demonstration
SLAM - 5 Minutes with Cyrill
SLAM - 5 Minutes with Cyrill
Lec-10: Graph-Based SLAM (English)
Lec-10: Graph-Based SLAM (English)
Factor Graph - 5 Minutes with Cyrill
Factor Graph - 5 Minutes with Cyrill
MIT Robotics - Frank Dellaert - Factor Graphs for Perception and Action
MIT Robotics - Frank Dellaert - Factor Graphs for Perception and Action
Factor Graphs and Robust Perception | Michael Kaess | Tartan SLAM Series
Factor Graphs and Robust Perception | Michael Kaess | Tartan SLAM Series
srba: Constant-time relative graph SLAM (2D demo)
srba: Constant-time relative graph SLAM (2D demo)
SLAM-Course - 01 - Introduction to Robot Mapping (2013/14; Cyrill Stachniss)
SLAM-Course - 01 - Introduction to Robot Mapping (2013/14; Cyrill Stachniss)
Factor Graphs + TagSLAM For Efficient Map and Pose Optimization
Factor Graphs + TagSLAM For Efficient Map and Pose Optimization

Deep Dive

Data is compiled from public records and verified media reports.

Last Updated: September 27, 2026

Future Outlook

Understanding SLAM Using Pose Graph Optimization | Autonomous Navigation, Part 3 News
For 2026, Graph Slam remains one of the most talked-about information profiles. Check back for the latest updates.

Disclaimer: Disclaimer: All information is compiled from publicly available data, media reports, and analysis. Actual details may vary.

Summary

This video is part of an online course, Intro to Artificial Intelligence. the course here: ... This is a short video lecture by Wolfram, Giorgio, and Cyrill explaining This video provides some intuition around Pose Filtering methods the Extended Kalman Filter fail due to quadratic complexity in state size. The video shows the creation and on the fly improvement of a map using our new MIT - December 3, 2021 Frank Dellaert "Factor A presentation by Michael Kaess as part of the Tartan How do robots really know where they are — not just guess? In this video, we dive deep into the world of Factor

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