Novel lightweight odometric learning method for humanoid robot localization
作者： Saeed Saeedvand , Hadi S. Aghdasi , Jacky Baltes
DOI: 10.1016/J.MECHATRONICS.2018.08.007
关键词:
摘要: … to localize a humanoid robot named Lightweight Humanoid robot Odometric Learning (… a novel fully 3D printed ARC robot (first fully 3D printed kid-sized humanoid robot platform) which …
sci-hub.se 参考文章(31)
Mahmoud Tavakoli, Pedro Lopes, Lucio Sgrigna, Carlos Viegas, Motion control of an omnidirectional climbing robot based on dead reckoning method Mechatronics. ,vol. 30, pp. 94- 106 ,(2015) , 10.1016/J.MECHATRONICS.2015.06.003
Andreas Schmitz, Marcell Missura, Sven Behnke, Learning footstep prediction from motion capture robot soccer world cup. pp. 97- 108 ,(2011) , 10.1007/978-3-642-20217-9_9
Gérard Dreyfus, Neural Networks: Methodology and Applications ,(2010)
Christopher M. Bishop, Pattern Recognition and Machine Learning ,(2006)
Howard B. Demuth, Martin T. Hagan, Mark Beale, Neural network design ,(1995)
Giuseppe Oriolo, Antonio Paolillo, Lorenzo Rosa, Marilena Vendittelli, Humanoid odometric localization integrating kinematic, inertial and visual information Autonomous Robots. ,vol. 40, pp. 867- 879 ,(2016) , 10.1007/S10514-015-9498-0
Rong Zhu, Dong Sun, Zhaoying Zhou, Dingqu Wang, A linear fusion algorithm for attitude determination using low cost MEMS-based sensors Measurement. ,vol. 40, pp. 322- 328 ,(2007) , 10.1016/J.MEASUREMENT.2006.05.020
Kai Wang, Yun-Hui Liu, Luyang Li, A Simple and Parallel Algorithm for Real-Time Robot Localization by Fusing Monocular Vision and Odometry/AHRS Sensors IEEE-ASME Transactions on Mechatronics. ,vol. 19, pp. 1447- 1457 ,(2014) , 10.1109/TMECH.2014.2298247
Zafer Aydogmus, Omur Aydogmus, A comparison of artificial neural network and extended Kalman filter based sensorless speed estimation Measurement. ,vol. 63, pp. 152- 158 ,(2015) , 10.1016/J.MEASUREMENT.2014.12.010
Abbas Heiat, Comparison of artificial neural network and regression models for estimating software development effort Information & Software Technology. ,vol. 44, pp. 911- 922 ,(2002) , 10.1016/S0950-5849(02)00128-3