1. Introduction to Robotics: Mechanics and Control – John J. Craig
Why it's essential: A global university staple, now in its 4th edition. Covers robot kinematics (forward & inverse), dynamics, motion planning, and control—including MATLAB examples. Highly recommended for foundational learning.
2.Modern Robotics: Mechanics, Planning, and Control – Kevin M. Lynch & Frank C. Park
Why it stands out: A mathematically rigorous yet practical guide built around screw theory. Teaches rigid-body motions, trajectory planning, manipulator dynamics, and mobile robot control. Supported by an online course and companion videos.
3.Robot Modeling and Control – Mark W. Spong, Seth Hutchinson & M. Vidyasagar
Why it's key: Strong in kinematics and dynamic modeling, with formal proofs and real-world control examples. Includes an intro to computer vision and vision-based control—universally praised by grad students.
4.Robotics: Modelling, Planning and Control – Bruno Siciliano, Lorenzo Sciavicco, Giuseppe Oriolo & Bruno Siciliano
Why it’s preferred: A well-rounded foundational text with clear coverage of motion planning, sensing, and control. Frequently recommended for its structured clarity and depth .
5.Probabilistic Robotics – Sebastian Thrun, Wolfram Burgard & Dieter Fox
Why it’s advanced: Hits the key algorithms behind localization, mapping (SLAM), and sensor fusion. Recognized as the go-to resource for perception and mobile robot autonomy in noisy environments