useful resources

The following is a small list of resources that I recommend to people occasionally.

• The InControl podcast hosted by Alberto Padoan. Control theory, math, robotics.
• Henry Farrell’s substack. Mix of policy and technology.
• argmin blog by Ben Recht. Optimization and machine learning.
• Semidefinite optimization and relaxation book by Heng Yang. Covers certifiably optimal algorithms in robotics.
• An introduction to inertial navigation by Oliver J. Woodman.
• How to Read a Research Paper by Dmitry Berenson at University of Michigan. Written for the robotics field specifically.
• A Tutorial on Quantitative Trajectory Evaluation for Visual(-Inertial) Odometry by Zichao Zhang and Davide Scaramuzza. Useful reference for error metrics in robot navigation.
• ROS Resources: ROS Tutorials , ETH ROS Course , methylDragon’s ros-tutorials on github.