Overview: Scope, Application of Artificial Intelligence on Robotic Systems, Active Problems and Modern Approaches; Knowledge Representation and Inferences for Robotic Systems; Estimation and Filtering for Robotics Applications: including Bayes, Kalman, Extended Kalman, Particle Filters; Search Approaches for Robotic Systems; Planning Approaches for Robotic Systems; Behavior-based Approaches; Robot Localization: Probabilistic Approaches; Simultaneous Localization and Mapping (SLAM); Intelligent Control of Robots; Neural Networks for Learning, Classification and Control; Multi-Agent Robotic Systems; Newer Trends in AI and Robotics; Case Studies.

Suggested Text:

  1. Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig
  2. Robotic Engineering: An Integrated Approach by Klafter , Chmielewski & Negin
  3. Introduction to AI Robotics by Robin R. Murphy