- 1. Andrew's Notes
- 2. Recipes
- 3. Tenet Timelines
- 4. Money Balancing Math
- 5. Autonomy
- 5.1. Search and Optimization
- 5.1.1. Least-Squares Optimization
- 5.1.2. Nonlinear Optimization
- 5.1.3. Optimization Over Lie Groups
- 5.2. Estimation
- 5.2.1. Filter-Based Estimation Algorithms
- 5.2.1.1. The Kinematic Filters
- 5.2.1.2. The Luenberger Observer (LQE)
- 5.2.1.3. The Kalman Filter (Time-Varying LQE)
- 5.2.2. Applied Statistics for Stochastic Processes
- 5.2.2.1. Bayesian Inference
- 5.3. Systems Implementation
- 5.3.1. Computer Simulations
- 5.3.1.1. The Inertial Measurement Unit (IMU) Sensor
- 5.3.1.2. Event-Based Collision Detection
- 5.3.1.3. The Rotor Blade Flapping Effect
- 5.3.2. Optimization Libraries
- 5.3.2.1. 2D Range-Bearing Landmark Resolution with Ceres
- 5.3.2.2. Ceres Solver Python Tutorial
- 5.4. Systems Theory
- 5.4.1. Signals
- 5.4.1.1. Algorithms in Continuous vs Discrete Time
- 5.5. Math Fundamentals
- 5.5.1. 3D Geometry
- 5.5.1.1. Rotations Robotics Field Guide
- 5.5.2. Linear Algebra
- 5.5.2.1. Visualizing Matrices
- 6. Philosophy Essays
- 6.1. Thomas Aquinas on Reason and Revelation
- 6.2. Realism vs Nominalism
- 6.3. Aristotelian Science
- 7. Software Runbooks
- 7.1. Avahi Runbook
- 7.2. Metrics Pipeline Debugging