Title : 
Microimmune Algorithm for Solving Inverse Kinematics of Redundant Robots
         
        
            Author : 
Glumac, Slaven ; Kovacic, Zdenko
         
        
            Author_Institution : 
Tech. Coll. in Bjelovar, Bjelovar, Croatia
         
        
        
        
        
        
            Abstract : 
A micro immune optimization algorithm presented in this paper was considered for solving inverse kinematics of a redundant robotic arm. For this purpose, a multiobjective criterion was defined to compare performances of micro immune and micro genetic algorithms. Multiobjective optimization was used to determine a set of best algorithms, and the micro immune algorithm proved superior in solving a selected optimization problem. The assessment of time needed for algorithms to solve the inverse kinematics problem on-line was made based on the tests carried out on a low-cost micro controller.
         
        
            Keywords : 
genetic algorithms; manipulator kinematics; microcontrollers; inverse kinematics problem; low cost microcontroller; microgenetic algorithms; microimmune optimization algorithm; redundant robotic arm; solving inverse kinematics; Genetic algorithms; Joints; Kinematics; Optimization; Robots; Sociology; Statistics; inverse kinematics; microimmune algorithm; optimization algorithm; real time execution;
         
        
        
        
            Conference_Titel : 
Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
         
        
            Conference_Location : 
Manchester
         
        
        
            DOI : 
10.1109/SMC.2013.41