University Physics Volume 1: OpenStax
From linearly-solvable optimal control to trajectory optimization, and (hopefully) back
The Role of Function Approximation for both Regression and Classifiction in Robotics
Latent Force Models with Gaussian Processes
Bayesian Machine Learning for Controlling Autonomous Systems
Trajectory Prediction: Learning to Map Situations to Robot Trajectories
Probabilistic inference methods in robotics-filling the gap between high-level reasoning and low-level motion control
Convex and Combinatorial Optimization for Dynamic Robots in the Real World
Policy Search
College Physics: OpenStax