1. Wail Gueaieb, Fakhri Karray, and Salah Al-Sharhan. Computational Intelligence Based Approach for the Joint Trajectory Generation of Cooperative Robotic Systems. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Nashville, TN, USA, pages 3687-3692, October 8--11 2000. Abstract:

   We discuss here the implementation aspects of recently developed tools of computational intelligence for tackling the issue of joint trajectory generation of a class of multi-joint cooperative robotic systems. This is closely related to the inverse kinematics problem which usually represents a heavy computational burden on the processing power of any complex robotic structure. High nonlinearities, heavy coupling between the degrees of freedom, and time variant configuration of the robot structure heavily contribute to these difficulties. Soft computing techniques have surged in recent years as effective computational tools for emulating the human capabilities when dealing with complex systems. Some of them are used here to synthesize approaches capable of substantially improving solving the inverse kinematics problem for a class of robotic systems and help generating the joint trajectories in a faster way.

   
   

   @inproceedings{GuKaAl00,
   author = "Wail Gueaieb and Fakhri Karray and Salah Al-Sharhan",
   title = "Computational Intelligence Based Approach for the Joint Trajectory Generation of Cooperative Robotic Systems",
   booktitle = "Proceedings of the IEEE International Conference on Systems, Man and Cybernetics",
   year = "2000",
   pages = "3687--3692",
   month = "October 8--11",
   address = "Nashville, TN, USA",
   editor = "",
   publisher = "",
   organization = "",
   url = {},
   abstract = {We discuss here the implementation aspects of recently developed tools of computational intelligence for tackling the issue of joint trajectory generation of a class of multi-joint cooperative robotic systems. This is closely related to the inverse kinematics problem which usually represents a heavy computational burden on the processing power of any complex robotic structure. High nonlinearities, heavy coupling between the degrees of freedom, and time variant configuration of the robot structure heavily contribute to these difficulties. Soft computing techniques have surged in recent years as effective computational tools for emulating the human capabilities when dealing with complex systems. Some of them are used here to synthesize approaches capable of substantially improving solving the inverse kinematics problem for a class of robotic systems and help generating the joint trajectories in a faster way.} 
   }
   




2. Fakhri Karray, Wail Gueaieb, and Salah Al-Sharhan. Soft Computing Techniques as Applied to Expert Tuning of PID Controllers. In Proceedings of the IEEE International Symposium on Intelligent Control, Patras, Greece, pages 91-96, July 17--19 2000.
   

   @inproceedings{KaGuAl00,
   author = "Fakhri Karray and Wail Gueaieb and Salah Al-Sharhan",
   title = "Soft Computing Techniques as Applied to Expert Tuning of {PID} Controllers",
   booktitle = "Proceedings of the IEEE International Symposium on Intelligent Control",
   year = "2000",
   pages = "91--96",
   month = "July 17--19",
   address = "Patras, Greece",
   editor = "",
   publisher = "",
   organization = "",
   url = {} 
   }
   

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