For studying Robotics and Artificial Intelligence (AI) in the field of Engineering (FE), several reference books can provide a solid foundation:

1. **"Introduction to Robotics: Mechanics and Control" by John J. Craig**: This book offers comprehensive coverage of robotics, including kinematics, dynamics, and control. It’s suitable for understanding the mechanical and control aspects of robotics.

2. **"Robotics: Modelling, Planning, and Control" by Bruno Siciliano and Lorenzo Sciavicco**: This book is ideal for advanced students, covering robot modeling, control techniques, and planning algorithms in detail.

3. **"Artificial Intelligence: A Modern Approach" by Stuart Russell and Peter Norvig**: This is a foundational text for AI, offering an in-depth understanding of various AI techniques, algorithms, and applications.

4. **"Pattern Recognition and Machine Learning" by Christopher M. Bishop**: This book is excellent for understanding the machine learning techniques that are fundamental to AI.

5. **"Robotics: Principles and Practice" by R. K. Gupta**: Provides a broad introduction to various robotics concepts, including control systems and application areas.

6. **"Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron**: This practical guide is useful for applying machine learning techniques and understanding how they integrate with AI applications.

These books cover a range of topics essential for both theoretical knowledge and practical applications in robotics and AI.