Software & Middleware
GTSAM
GTSAM (Georgia Tech Smoothing and Mapping) is an open-source C++ library, with Python bindings, for factor-graph-based estimation, developed by Frank Dellaert's group at Georgia Tech. It provides nonlinear least-squares optimizers, incremental smoothing via iSAM2, and rich factor libraries including IMU preintegration, making it a standard backend for SLAM, visual-inertial odometry, and calibration systems in both research and industry.
Why it matters for physical AI
Robust open estimation infrastructure lets robotics teams build reliable localization without reinventing solvers, and factor-graph tooling like GTSAM underpins the state estimates that learned policies and planners silently depend on.
Build physical AI
Put these concepts to work on real hardware
Axol is a dual-arm robot built for physical AI — teleoperate it, collect demonstrations, and deploy learned policies out of the box.