Title :
Humanoid Robotics Modeling by Dynamic Fuzzy Neural Network
Author :
Tang, Zhe ; Er, Meng Joo ; Ng, Geok See
Author_Institution :
Nanyang Technol. Univ., Singapore
Abstract :
Motion planning is an essential task for humanoid robots. However, it is still very challenging to obtain good motion performance in humanoid motion planning, because of its high DOFs (degree of freedoms), variable mechanical structure and nonlinearity. In humanoid motion planning, the motion performance can be given only after one whole cycle motion is completed. This is a demanding condition for motion planning on either real robots or simulation platform. In this paper, a DFNN (dynamic neural fuzzy network) is adopted to model humanoid robots for motion planning. The inputs of DFNN are parameters which determine motion of humanoid robots. The output is evaluation of humanoid motion performance. The DFNN after training can give evaluation of motion performance immediately once the parameters are determined. The DFNN models not only the dynamics of robots, also the motion planning method. Therefore, the DFNN stores two kind of knowledge: the mapping between parameters and humanoid motion, the mapping between humanoid motion and motion performance.
Keywords :
control nonlinearities; fuzzy control; fuzzy neural nets; humanoid robots; learning systems; legged locomotion; motion control; neurocontrollers; nonlinear control systems; path planning; stability; variable structure systems; control nonlinearity; dynamic fuzzy neural network; humanoid robotics modeling; inverted pendulum; motion performance; motion planning; parameter learning; robot stability; variable mechanical structure; walking planning; Erbium; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Humanoid robots; Legged locomotion; Mathematical model; Motion planning; Network synthesis; Neural networks;
Conference_Titel :
Neural Networks, 2007. IJCNN 2007. International Joint Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4244-1379-9
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2007.4371377