Intuitive control of mobile robots: an architecture for autonomous adaptive dynamic behaviour integration-Reference-Cited by-同舟云学术

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Intuitive control of mobile robots: an architecture for autonomous adaptive dynamic behaviour integration

Published:2017-06-05 Issue:2 Volume:19 Page:245-264
ISSN:1612-4782
Container-title:Cognitive Processing
language:en
Short-container-title:Cogn Process

Author:

Melidis Christos,Iizuka Hiroyuki,Marocco Davide

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Cognitive Neuroscience,Experimental and Cognitive Psychology,General Medicine

Link

http://link.springer.com/article/10.1007/s10339-017-0818-5/fulltext.html

Reference73 articles.

1. Akiwa Y, Ogata T, Suga Y, Sugano S (2004) Imitation based human–robot interaction - roles of joint attention and motion prediction. In: Proceeding of the 2004 IEEE international conference of human robot interactive communication (ROMAN 2004). pp 283–288

2. Arkin RC (1998) Behavior-based robotics. MIT press, Cambridge

3. Ashby WR et al (1956) An introduction to cybernetics. Chapman & Hail Ltd., London

4. Bailador G, Roggen D, Tröster G, Triviño G (2007) Real time gesture recognition using continuous time recurrent neural networks. In: Proceedings of the ICST 2nd international conference on body area networks. ICST (institute for computer sciences, social-informatics and telecommunications engineering), p 15

5. Bodiroža S, Stern HI, Edan Y (2012) Dynamic gesture vocabulary design for intuitive human-robot dialog. In: Proceedings of the seventh annual ACM/IEEE international conference on Human–Robot interaction—HRI ’12, p 111. doi: 10.1145/2157689.2157710

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1. Does spontaneous motion lead to intuitive Body-Machine Interfaces? A fitness study of different body segments for wearable telerobotics;2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN);2022-08-29

2. Learning User-Preferred Mappings for Intuitive Robot Control;2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2020-10-24

3. Personalized Telerobotics by Fast Machine Learning of Body-Machine Interfaces;IEEE Robotics and Automation Letters;2020-01

4. Effective Behavioural Dynamic Coupling through Echo State Networks;Applied Sciences;2019-03-28

5. Special issue on cognitive robotics;Cognitive Processing;2018-04-16

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