Notebook-based book "Introduction to Robotics and Perception" by Frank Dellaert and Seth Hutchinson
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Updated
Sep 10, 2026 - Jupyter Notebook
Notebook-based book "Introduction to Robotics and Perception" by Frank Dellaert and Seth Hutchinson
slamplay is a collection of powerful tools to start playing and experimenting with SLAM in C++
Sparse nonlinear least squares in JAX
Hybrid (non)-Gaussian solver for Distributed Factor Graphs, with clique recycling; and is officially supported as part of the NavAbility(TM) toolchain and Caesar.jl ecosystem.
JAX Framework for Parameterized Stochastic Circuits (PSCs) and Directed Factor Graphs (DFGs) of Kernels
General purpose C++ library for managing discrete factor graphs
The junction tree algorithm for (discrete) factor graphs
Combined Learning from Demonstration and Motion Planning
The source code repository for the FactorBase system
Autonomous Agent Max-Sum Factor Graph Belief Propagation Engine for Decentralized Coordination
Autonomous Agent Max-Sum Factor Graph Belief Propagation Engine for Decentralized Coordination
Loopy Belief Propagation (LBP) engine on general factor graphs with sum-product message passing and damping to solve approximate inference on cyclic topologies.
Loopy Belief Propagation (LBP) engine on general factor graphs with sum-product message passing and damping to solve approximate inference on cyclic topologies.
GTSAM ⇆ mrpt-serialization bridge
Clean Factor Graphs in Python
Access NavAbility(TM) Accelerator features from JuliaLang.
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.
Designing and training probabilistic graphical models (MATLAB).
Stereo-inertial SLAM project: calibrate with Kalibr and improve VIO trajectory accuracy.
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