This work of thesis deals both with design and intelligent control of a humanoid robot, and its main aim is to develop an energy-efficient and dynamically stable locomotion. In the first part, we present a systematic method to evaluate the energy efficiency of a biped robot. This method is then used to obtain some information about the performance of materials and actuators that could be used f...

This study proposes an intelligent remedial learning framework to improve students’ effectiveness. Basically, this combines a genetic algorithm with concept map in order select set of units according weaknesses concepts. In the proposed algorithm, serves represent knowledge structure concepts, and performs iteratively evolutionary procedure establish materials based on understanding these also ...