Here is a comprehensive presentation of methodology for the design and synthesis of an intelligent complex robotic system, connecting formal tools from discrete system theory, artificial intelligence, neural network, and fuzzy logic. The necessary methods for solving real time action planning, coordination and control problems are described. A notable chapter presents a new approach to intelligent robotic agent control acting in a realworld environment based on a lifelong learning approach combining cognitive and reactive capabilities. Another key feature is the homogeneous description of all solutions and methods based on system theory formalism.

Off-Line Planning, Programming, and Simulation of Intelligent Robotic Systems.- Virtual Robotic Cells.- Planning of Robotic Cell Actions.- Off-Line Planning of Robot Motion.- CAP/CAM Systems for Robotic Cell Design.- Intelligent Robotic Systems.- Event-Based Real-Time Control of Intelligent Robotic Systems Using Neural Networks and Fuzzy Logic.- The Execution Level of Robotic Agent Action.- The Coordination Level of a Multiagent Robotic System.- The Organization Level of a Robotic System.- Real-Time Monitoring.- Object-Oriented Discrete-Event Simulator of Intelligent Robotic Cells.