My collection of books on key subjects in Robotics, Controls and AI.


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.