A closed-loop approach for tracking a humanoid robot using particle filtering and depth data-Reference-Cited by-同舟云学术

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A closed-loop approach for tracking a humanoid robot using particle filtering and depth data

Published:2017-05-25 Issue:4 Volume:10 Page:297-312
ISSN:1861-2776
Container-title:Intelligent Service Robotics
language:en
Short-container-title:Intel Serv Robotics

Author:

Martínez Pablo Arturo,Lin Xiao,Castelán Mario,Casas Josep,Arechavaleta Gustavo

Funder

Ministerio de Economía y Competitividad

European Regional Development Fund

Consejo Nacional de Ciencia y Tecnología

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Mechanical Engineering,Engineering (miscellaneous),Computational Mechanics

Link

http://link.springer.com/article/10.1007/s11370-017-0230-0/fulltext.html

Reference45 articles.

1. Alcantarilla P, Ni K, Bergasa L, Dellaert F (2011) Visibility learning in largescale urban environment. In: IEEE international conference on robotics and automation. Shanghai, China

2. Alcantarilla PF, Stasse O, Druon S, Bergasa LM, Dellaert F (2013) How to localize humanoids with a single camera? Auton Robot 38(1–2):47–71

3. Arechavaleta G, Laumond JP, Hicheur H, Berthoz A (2008) An optimality principle governing human walking. IEEE Trans Robot 24(1):5–14

4. Castelán M, Arechavaleta G (2009) Approximating the reachable space of human walking paths: a low dimensional linear approach. In: IEEE international conference on humanoid robots. Paris, France, pp 81–86

5. Chestnutt J, Takaoka Y, Suga K, Nishiwaki K, Kuffner J, Kagami S (2009) Biped navigation in rough environments using on-board sensing. In: IEEE international conference on intelligent robots and systems. St. Louis, MO, USA

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2. Robust multi-objective multi-humanoid robots task allocation based on novel hybrid metaheuristic algorithm;Applied Intelligence;2019-05-17

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