TY - GEN
T1 - Intelligent approaches in locomotion
AU - Wright, Jonathan
AU - Jordanov, Ivan
PY - 2012/7/30
Y1 - 2012/7/30
N2 - In this paper we review more than 50 publications and try to not only give a snap shot of the current state of the art research in the area, but also to critically analyse and compare different methodologies used in this research field. Among the investigated intelligent approaches for solving locomotion problems are Neural Networks, Hidden Markov models, Rule Based and Fuzzy Logic systems, as well as Analytical concepts. We try to compare those methods based on the quality of the produced solutions in terms of time, stability, correctness and the expense and cost for achieving them. At the end of each section we list the advantages and disadvantages of the reviewed methods and scrutinise them considering the complexity of the approaches, their applicability to the investigated locomotion tasks and the constraints of the produced solutions.
AB - In this paper we review more than 50 publications and try to not only give a snap shot of the current state of the art research in the area, but also to critically analyse and compare different methodologies used in this research field. Among the investigated intelligent approaches for solving locomotion problems are Neural Networks, Hidden Markov models, Rule Based and Fuzzy Logic systems, as well as Analytical concepts. We try to compare those methods based on the quality of the produced solutions in terms of time, stability, correctness and the expense and cost for achieving them. At the end of each section we list the advantages and disadvantages of the reviewed methods and scrutinise them considering the complexity of the approaches, their applicability to the investigated locomotion tasks and the constraints of the produced solutions.
KW - central pattern generator
KW - fuzzy logic
KW - hidden Markov models
KW - Legged locomotion
KW - neural networks
KW - optimisation
UR - http://www.scopus.com/inward/record.url?scp=84865099855&partnerID=8YFLogxK
U2 - 10.1109/IJCNN.2012.6252537
DO - 10.1109/IJCNN.2012.6252537
M3 - Conference contribution
AN - SCOPUS:84865099855
SN - 9781467314886
T3 - Proceedings of the International Joint Conference on Neural Networks
BT - 2012 International Joint Conference on Neural Networks, IJCNN 2012
PB - IEEE
T2 - 2012 Annual International Joint Conference on Neural Networks, IJCNN 2012, Part of the 2012 IEEE World Congress on Computational Intelligence, WCCI 2012
Y2 - 10 June 2012 through 15 June 2012
ER -