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Factor Graph - 5 Minutes with Cyrill
CSIRO's Wildcat SLAM (Pose-Graph Optimisation)
SLAM - 5 Minutes with Cyrill
2D Pose Graph Optimization - SLAM
Graph SLAM - Artificial Intelligence for Robotics
Optimized Graph-based SLAM
pose graph optimisation SLAM
Factor Graphs + TagSLAM For Efficient Map and Pose Optimization
Wolfram Burgard, Giorgio Grisetti, and Cyrill Stachniss: Graph-based SLAM in 20 Minutes
Graph Based SLAM and Loop Closure
Graph-Based SLAM with Landmarks (Cyrill Stachniss)
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Last Updated: October 18, 2026
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Summary
This video provides some intuition around Paper: arxiv.org/abs/1911.03721 Code: github.com/mit-acl/dpgo Abstract: This paper presents the first certifiably ... This video demonstrates Wildcat's Video shows python implementation of 2D This video is part of an online course, Intro to Artificial Intelligence. the course here: ... Shows introductory material relating to solving the Simultaneous Localization and Mapping ( How do robots really know where they are — not just guess? In this video, we dive deep into the world of Factor This is a short video lecture by Wolfram, Giorgio, and Cyrill explaining Filtering methods the Extended Kalman Filter fail due to quadratic complexity in state size.