ROS based autonomous control of a humanoid robot

Conference poster

Kalyani, G., Gandhi, V., Yang, Z. and Geng, T. 2016. ROS based autonomous control of a humanoid robot. 25th International Conference on Artificial Neural Networks (ICANN). Barcelona, Spain 06 - 09 Sep 2016 Springer. pp. 550-551 https://doi.org/10.1007/978-3-319-44778-0
TypeConference poster
TitleROS based autonomous control of a humanoid robot
AuthorsKalyani, G., Gandhi, V., Yang, Z. and Geng, T.
Research GroupArtificial Intelligence group
Conference25th International Conference on Artificial Neural Networks (ICANN)
Page range550-551
ISSN0302-9743
ISBN
Hardcover9783319447780
PublisherSpringer
Publication dates
Print06 Sep 2016
Publication process dates
Deposited23 Feb 2018
Completed09 Sep 2016
Accepted15 Jun 2016
Output statusPublished
Accepted author manuscript
Copyright Statement

The final authenticated version is available online at https://doi.org/10.1007/978-3-319-44778-0

Additional information

A.E.P. Villa et al. (Eds.): ICANN 2016, Part II, LNCS 9887, pp. 550–551, 2016. DOI: 10.1007/978-3-319-44781-0

Web address (URL)https://link.springer.com/content/pdf/bbm%3A978-3-319-44781-0%2F1.pdf
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-319-44778-0
LanguageEnglish
Book titleArtificial Neural Networks and Machine Learning – ICANN 2016
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Gandhi, V., Prasad, G., Coyle, D., Behera, L. and McGinnity, T. 2012. EEG filtering with quantum neural networks for a Brain-Computer Interface (BCI). Young researchers futures meeting: Neural engineering. University of Warwick 19 - 21 Sep 2012 pp. 21
Characterisation of information flow in an izhikevich network
Guo, L., Yang, Z., Graham, B. and Zhang, D. 2012. Characterisation of information flow in an izhikevich network. Huang, T. (ed.) ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part I. Doha, Qatar 12 - 16 Nov 2012 Berlin Springer. https://doi.org/10.1007/978-3-642-34475-6_47
A mixture model classifier and its application on the biomedical time series
Yang, Z., Yang, Z., Eftestol, T., Steen, P., Lu, W. and Harrison, R. 2012. A mixture model classifier and its application on the biomedical time series. Applied Artificial Intelligence. 26 (6), pp. 588-597. https://doi.org/10.1080/08839514.2012.687665
A novel EEG signal enhancement approach using a recurrent quantum neural network for a Brain Computer Interface
Gandhi, V., Prasad, G., Coyle, D., Behera, L. and McGinnity, M. 2011. A novel EEG signal enhancement approach using a recurrent quantum neural network for a Brain Computer Interface. Technically Assisted Rehabilitation. Berlin, Germany 17 - 18 Mar 2011
An intelligent Adaptive User Interface (iAUI) for enhancing the communication in a Brain-Computer Interface (BCI)
Gandhi, V., Prasad, G., Coyle, D., Behera, L. and McGinnity, M. 2011. An intelligent Adaptive User Interface (iAUI) for enhancing the communication in a Brain-Computer Interface (BCI). UKIERI workshop on the Fusion of Brain-Computer Interface and Assistive Robotics. University of Ulster 07 - 08 Jul 2011
EEG denoising with a recurrent quantum neural network for a brain-computer interface
Gandhi, V., Arora, V., Behera, L., Prasad, G., Coyle, D. and McGinnity, T. 2011. EEG denoising with a recurrent quantum neural network for a brain-computer interface. 2011 International Joint Conference on Neural Networks (IJCNN). San Jose, CA, USA 31 Jul - 05 Aug 2011 IEEE. pp. 1583-1590 https://doi.org/10.1109/IJCNN.2011.6033413
Dynamic control of walking leg joints: a building block model perspective
Yang, Z. 2011. Dynamic control of walking leg joints: a building block model perspective. in: Seventh International Conference on Natural Computation (ICNC), 2011 IEEE.
Interfacing a dynamic interface paradigm for multiple target selection using a two class brain-computer interface
Gandhi, V., Coyle, D., Prasad, G., Bharti, C., Behera, L. and McGinnity, M. 2009. Interfacing a dynamic interface paradigm for multiple target selection using a two class brain-computer interface. Indo-US Workshop on System of Systems Engineering. IIT Kanpur, India 26 - 28 Oct 2009
A novel paradigm for multiple target selection using a two class brain computer interface
Gandhi, V., Prasad, G., Coyle, D., Behera, L. and McGinnity, M. 2009. A novel paradigm for multiple target selection using a two class brain computer interface. Irish Signal & Systems Conference (ISSC 2009). Dublin, Ireland 10 - 11 Jun 2009 Dublin The Institution of Engineering and Technology (IET). https://doi.org/10.1049/cp.2009.1690
A general rhythmic pattern generation architecture for legged locomotion
Yang, Z. and Franca, F. 2008. A general rhythmic pattern generation architecture for legged locomotion. in: Pazos, A., Sierra, A. and Buceta, W. (ed.) Advancing Artificial Intelligence through Biological Process Applications New York IGI Global.
Implementing an artificial centipede CPG: integrating appendicular and axial movements of the scolopendromorph centipede
Braga, R., Yang, Z. and Franca, F. 2008. Implementing an artificial centipede CPG: integrating appendicular and axial movements of the scolopendromorph centipede. International Conference on Bio-inspired Systems and Signal Processing. Funchal, Madeira, Portugal 28 - 31 Jan 2008 SCITEPRESS - Science and Technology Publications. pp. 58-62 https://doi.org/10.5220/0001069800580062
An artificial early visual model adopting spike-timing-dependent plasticity
Yang, Z. and Murray, A. 2006. An artificial early visual model adopting spike-timing-dependent plasticity. Neurocomputing. 69 (16-18), pp. 1904-1911. https://doi.org/10.1016/j.neucom.2005.11.017
An adaptive visual neuronal model implementing competitive, temporally asymmetric Hebbian learning
Yang, Z., Cameron, K., Murray, A. and Boonsobhak, V. 2006. An adaptive visual neuronal model implementing competitive, temporally asymmetric Hebbian learning. International Journal of Neural Systems. 16 (3), pp. 151-162. https://doi.org/10.1142/S0129065706000573
A probabilistic neural network as the predictive classifier of out-of-hospital defibrillation outcomes
Yang, Z., Yang, Z., Lu, W., Harrison, R., Eftestol, T. and Steen, P. 2005. A probabilistic neural network as the predictive classifier of out-of-hospital defibrillation outcomes. Resuscitation. 64 (1), pp. 31-36. https://doi.org/10.1016/j.resuscitation.2004.07.002
Building artificial CPGs with asymmetric Hopfield networks
Franca, F. and Yang, Z. 2000. Building artificial CPGs with asymmetric Hopfield networks. The IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN 2000). Como, Italy 24 - 27 Jul 2000
Generating arbitrary rhythmic patterns with purely inhibitory neural networks
Yang, Z. and Franca, F. 1998. Generating arbitrary rhythmic patterns with purely inhibitory neural networks. in: Verleysen, M. (ed.) ESANN'1998 proceedings - 6th European symposium on artificial neural networks (Bruges, 22-23-24 April 1998) D facto. pp. 53-58