My collection of books on key subjects in Robotics, Controls and AI.
Basics
Introduction to Linear Algebra - G. Strang.
Introduction to Probability - J. K. Blitzstein & J. Hwang.
Linear System Theory and Design - C.-T. Chen.
Convex Optimization - S. Boyd & L. Vandenberghe.
Robot Mechanics
Modern Robotics - K. M. Lynch & F. C. Park (two EiCs from T-RO).
Robotic Manipulation - R. M. Murray, Z. Li, & S. S. Sastry.
Robot Modeling & Control - M. W. Spong, S. Hutchinson, & M. Vidyasagar.
Systems and Controls
Nonlinear Systems - H. K. Khalil.
Applied Nonlinear Control - J-J. E. Slotine & W. Li.
Probabilistic Robotics
Probabilistic Robotics - S. Thrun, W. Burgard, & D. Fox.
Optimal Control
Practical Methods for Optimal Control & Estimation Using NP - J. T. Betts.
Optimal Control Theory - D. E. Kirk.
Artificial Intelligence
Artificial Intelligence: A Modern Approach - P. Norvig & S. J. Russell.
Deep Learning - I. Goodfellow, Y. Bengio, & A. Courville.
Reinforcement Learning: An Introduction by R. S. Sutton & A. G. Barto.
Bio-Inspired Robotics
Bio-Inspired Artificial Intelligence - D. Floreano & C. Mattiussi.
