IEEE

Linear SLAM: A linear solution to the feature-based and pose graph SLAM based on submap joining

Abstract: This paper presents a strategy for large-scale SLAM through solving a sequence of linear least squares problems. The algorithm is based on submap joining where submaps are built using any ...
IEEE

Policies Over Poses: Reinforcement Learning Based Distributed Pose-Graph Optimization for Multi-Robot SLAM

Abstract: We consider the distributed pose-graph optimization (PGO) problem, which is fundamental in accurate trajectory estimation in multi-robot simultaneous localization and mapping (SLAM).
Business Insider

RelationalAI Recognized in the Gartner® 2026 Magic Quadrant™ for Decision Intelligence Platforms

SAN FRANCISCO, Feb. 05, 2026 (GLOBE NEWSWIRE) -- RelationalAI today announced it has been included in the inaugural Gartner® 2026 Magic Quadrant ™ for Decision Intelligence Platforms. RelationalAI ...
GitHub

Majorization Minimization Methods for Distributed Pose Graph Optimization

Official implementation of Majorization Minimization Methods for Distributed Pose Graph Optimization. Taosha Fan and Todd Murphey. In IEEE Transactions on Robotics (T-RO), 2024. We consider the ...
GitHub

ntnu-arl/kimera_pgmo

Kimera-PGMO (Pose Graph and Mesh Optimizer) is an optimizer that takes in a mesh along with robot odometry and loop closure measurements and then optimizes for the trajectory and the mesh ...
Frontiers

Control Flow Graph Based Code Optimization Using Graph Neural Networks

We combined the static features, spatial features, and deep neural networks by representing source code as graphs and trained Graph Neural Network (GNN) for automatically finding suitable optimization ...