@inproceedings{0a5158dd667a456cbfe8201d325fe2e6,
title = "Intelligent approaches in locomotion",
abstract = "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.",
keywords = "central pattern generator, fuzzy logic, hidden Markov models, Legged locomotion, neural networks, optimisation",
author = "Jonathan Wright and Ivan Jordanov",
year = "2012",
month = jul,
day = "30",
doi = "10.1109/IJCNN.2012.6252537",
language = "English",
isbn = "9781467314886",
series = "Proceedings of the International Joint Conference on Neural Networks",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2012 International Joint Conference on Neural Networks, IJCNN 2012",
address = "United States",
note = "2012 Annual International Joint Conference on Neural Networks, IJCNN 2012, Part of the 2012 IEEE World Congress on Computational Intelligence, WCCI 2012 ; Conference date: 10-06-2012 Through 15-06-2012",
}