Symbolic Continuous-Time Gaussian Belief Propagation Framework with Ceres Interoperability
Linear Gaussian Bayesian Networks - Inference, Parameter Learning and Representation. 🖧
Master Thesis Project in Computer Engineering at Aarhus University 2024 on "Simulating Multi-agent Path Planning in Complex environments using Gaussian Belief Propagation and Global Path Finding". Available here (https://drive.google.com/file/d/12g-7bqcy_yfkZdpKzxQAErayFJQhu4sE/view?usp=sharing)
Unified Autonomy Stack via Gaussian Belief Propagation is a distributed inference framework that unifies planning, control, and estimation for multi-robot systems by casting everything as GBP on a factor graph. It produces collision-aware trajectories and control in real time.
[IROS 2025] This repository contains the code for the paper "Coordination of Learned Decoupled Dual-Arm Tasks through Gaussian Belief Propagation."
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