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Publications

Publications in journals

[1]   He-Zhi Liu, Chun-Chi Wang, and N. M. Mayer. Mechanical design of an egg-shaped robot with a gyro driven inertia actuator. 2018. (submitted).

[2]   Peng Ying Hua, Wang Ming Liang, Norbert Michael Mayer, Yu-Fen Peng, and Joanna Kossewska. Music play using a vibraphone with a humanoid robot as interaction training for autistic children. International Journal of Automation and Smart Technology (AUSMT), 8(1):29–34, 2018.

[3]   N. M. Mayer and Ying-Hao Yu. Orthogonal echo state networks and stochastic evaluations of likelihoods. Journal of Cognitive Neuroscience, 9:379–390, 2017. Special issue: Advances in Biologically Inspired Reservoir Computing, S. Scardapane and JB. Butcher and FM. Bianchi and ZK. Malik (Editors), invited contribution.

[4]   N. M. Mayer. Echo state condition at the critical point. Entropy, 19(1):3, 2017. Special issue Complexity, Criticality and Computation (C3), M. Prokopenko (academic editor), invited contribution.

[5]   N. M. Mayer. Input-anticipating critical reservoirs show power law forgetting of unexpected input events. Neural Computation, MIT Press, 27:1102–1119, May 2015.

[6]   Horng Wu, Wen-Chun Chen, and N. M. Mayer. A face recognition system that simulates perception impairments of autistic children. Neurocomputing, pages 770–776, 2015.

[7]   Joschka Boedecker, Oliver Obst, Joseph Lizier, N. M. Mayer, and Minoru Asada. Information processing in echo state networks at the edge of chaos. Theory in Biosciences, 131:205–213, 2012.

[8]   Joschka Boedecker, Oliver Obst, N. M. Mayer, and Minoru Asada. Initialization and self-organized optimization of recurrent neural network connectivity. Human Frontier Science Program (HFSP) Journal, 3:340–349, October 2009.

[9]   N. M. Mayer, Joschka Boedecker, and Minoru Asada. Robot motion description and real-time management with the harmonic motion description protocol. Robotics and Autonomous Systems, 57:870–876, July 2009.

Editorials

[10]   Thomas Röfer, N. M. Mayer, Jesus Savage, and Uluc Saranli (Editors). RoboCup 2011: Robot Soccer World Cup XV. Springer Verlag Berlin Heidelberg, 2012. Lecture Notes in Computer Science 7416, ISBN: 978-3-642-32059-0 (Print) 978-3-642-32060-6 (Online).

Bookchapters

[11]   N. M. Mayer. Critical echo state networks that anticipate input using morphable transfer functions. In Advances in Neural Networks – ISNN 2017 (14th International Symposium, Sapporo, Hakodate and Muroran, Hokkaido, Japan, June 21-26), volume 10261 of Lecture Notes in Computer Science (LNCS), pages 413–420. Springer, June 2017. ISBN: 978-3-319-59071-4.

[12]   N. M. Mayer. Adaptive critical reservoirs with algebraic forgetting of unexpected input sequences. In S. Wermter et al. (Eds.), Artificial Neural Networks and Machine Learning ICANN 2014, LNCS 8681, pages 49 – 56. 2014. arXiv preprint arXiv:1404.6334v1.

Publications in conference proceedings

[13]   N. M. Mayer. Arithmetic encoding, reservoir computing, criticality and biological implications. In Bernstein Conference, Göttingen, 2017.

[14]   Yi-Tsun Lin, N. M. Mayer, Chia-Hsien Lee, and Tzu-Hao Kao. Development of a lightweight biped adult-size humanoid robot with connecting lever structure in RoboCup. In CACS International Automatic Control Conference, 2017.

[15]   Chun-Chi Wang, N. M. Mayer, Rui-Yuan Lin, and Li-Yuan Lu. Mechanical and system design of egg shape robot. In CACS International Automatic Control Conference, 2017.

[16]   Yu Sin Wu, Min-Liang Wang, and N. M. Mayer. A new type of eye-on-hand robotic arm system based on a low-cost recognition system. In International Conference on Advanced Robotics and Intelligent Systems (ARIS 2017), 2017.

[17]   Kuan-Yi Ho and N. M. Mayer. Implementation of a mobile spherical robot with shape-changed inflatable structures. In International Conference on Advanced Robotics and Intelligent Systems (ARIS 2017), 2017.

[18]   N. M. Mayer. Echo state networks as an alternative to granger causality for probability estimates. In C3S Conference, Cologne, 2017.

[19]   Ying-Hao Yu, Yi-Siang Ting, Norbert Michael Mayer, Guan-Hong Wu, and Ngaiming Kwok. A new paradigm of ubiquitous home care robot using nao and choregraphe. In International Conference on Advanced Robotics and Intelligent Systems (ARIS 2016), September 2016. Taipei. MOST 104-2221-E-194-049-MY2.

[20]   Min-Liang Wang, Cheng-Wei Lin, N. M. Mayer, Ming-Hsien Hu, and Pei-Yung Lee. An brain-computer interface for video content analysis system for perceive emotions by using EEG. In Consumer Electronics-Taiwan (ICCE-TW), 2016 IEEE International Conference on, pages 1–2. IEEE, 2016.

[21]   Wen Chun Chen, Jia Jun Tsai, and N. M. Mayer. Implementation of acoustic communication in robocup SPL. In RoboCup Japan Open SIG Challenge (340 AI ), Fukui, Japan, 2015.

[22]   N. M. Mayer. Critical connectivity, anticipation and memory inference. In Bernstein Conference, Göttingen, 2015. (Abstract).

[23]   Ying-Hua Peng, N. M. Mayer, Min Liang Wang, and Cheng-Wei Lin. Using a humanoid robot for music therapy with autistic children. In International Automatic Control Conference CACS 2014, Kaohsiung, Taiwan, Nov. 26-28, 2014.

[24]   Ming-Lan Chang and N. M. Mayer. Kicking device to improve kicks for humanoid soccer robots in SPL. In RoboCup Japan Open SIG Challenge (339 AI ), Kitakyushu, Japan, 2014. (received paper award from the AI society).

[25]   N. M. Mayer Ying-Hua Peng, Min-Liang Wang. Autistic children and music playing with humanoid robot. In RoboCup Japan Open SIG Challenge (339 AI ), Kitakyushu, Japan, 2014.

[26]   Yu-Cheng Cheng, N. M. Mayer, and Min Liang Wang. Scenario-play method for autistic children using humanoid robots. In International Automatic Control Conference CACS 2013, Sun Moon Lake, Taiwan, Dec. 2-4, 2013.

[27]   Chung Kuo Hao and N. M. Mayer. Real-time SLAM using an RGB-D camera for mobile robots. In International Automatic Control Conference CACS 2013, Sun Moon Lake, Taiwan, Dec. 2-4, 2013.

[28]   Chung Kuo Hao and N. M. Mayer. Toward dreaming robots. In 17th International Conference on Neural Systems (ICCNS), Boston, June 4-7, 2013. (accepted as abstract, available online).

[29]   Yu-Cheng Cheng, Min-Liang Wang, and N. M. Mayer. Autonomous humanoid robot playing scenario for autistic children. In RoboCup Japan Open SIG Challenge (337 AI ), Tokyo, Japan, 2013.

[30]   Wei-Lun Lin N. M. Mayer, Li-Wei Lu. Towards biological inspired methods of anticipation in service robots. In CACS International Automatic Control Conference, 2012.

[31]   Horng Wu, Chen Wen-Chun, and N. M. Mayer. A face recognition system that simulates perception impairments of autistic children. In IEEE ICDL and Epirob Joint Conference, 2012. (accepted as abstract).

[32]   Li-Wei Lu and N. M. Mayer. Combining deep believe networks with service robots. In Proceedings of the 43rd International Symposium on Robotics (ISR), 2012.

[33]   Chang-Hsun Lee, Li-Wei Lu, and N. M. Mayer. Likelihood estimated by two types of neural networks. In RoboCup Japan Open SIG Challenge (35 AI ), Osaka, Japan, 2012.

[34]   Li-Wei Lu, Jackie Baltes, Hong-Ching Jhan, Wei-Lun Lin, and N. M. Mayer. Building service robots using U-Bot. In Proceedings of the WCICA, 2011.

[35]   Li-Wei Lu and N. M. Mayer. An efficient data sharing solution of multi-functional robotics design: QFlow. In RoboCup Japan Open SIG Challenge (2011-33 AI ), Osaka, Japan, 2011.

[36]   N. M. Mayer, Horng Wu, Ian Fasel, and Minoru Asada. Analogies between the autistic brain and the state of the art artificial autonomous agent. In RoboCup Japan Open SIG Challenge (2011-33 AI ), Osaka, Japan, 2011.

[37]   N. M. Mayer and Ian Fasel. Autism as an impairment in detecting invariants. In IEEE 9th International Conference on Development and Learning (ICDL’10), 2010.

[38]   N. M. Mayer, Li-Wei Lu, Yu-Min Hung, Hong Wu, and Yu-Cheng Chang. Using U-Bot for RoboCup@home. In Proceedings of SICE (Annual Meeting), 2010.

[39]   N. M. Mayer, Oliver Obst, and Yu-Cheng Chang. Time series causality inference using echo state networks. In Vincent Vigneron et al. (Eds.), Latent Variable Analysis and Signal Separation, LNCS 6365, pages 279 – 286. Springer, 2010.

[40]   N. M. Mayer and Ian Fasel. A simple neural autism model based on sensory invariants. In Organization for Computational Neurosciences Annual Meeting (CNS), 2010. (abstract).

[41]   N. M. Mayer, Matthew Browne, and Horng Jason Wu. ESNs with one dimensional topography. In Proceedings of the 17th international conference on Neural information processing: models and applications - Volume Part II, ICONIP’10, pages 209–216, Berlin, Heidelberg, 2010. Springer-Verlag.

[42]   N. M. Mayer, Li-Wei Lu, Yu-Min Hung, Hong Wu, and Yu-Cheng Chang. Team CrudeScientists Team Description Paper. In RoboCup Proceedings CD-Rom, 2010.

[43]   Proceedings of the aamas 2010 workshop on agents in real-time and dynamic environments. workshop on agents in real-time and dynamic environments (arde-2010). In Ubbo Visser, Sahar Asadi, Tim Laue, and N. M. Mayer, editors, AAMAS, Toronto,, Ontario, Canada. online, 2010.

[44]   Jacky Baltes, Mayer N. M, John Anderson, Kuo-Yang Tu, and Alan Liu. The humanoid leagues in robot soccer competitions. In The IJCAI-09 workshop on Competitions in Artificial Intelligence and Robotic, 2009. available online.

[45]   N. M. Mayer, Alan Liu, Chia-Hao Hsieh, Chun-Ming Chen, Hsien-Chang Lin, Jheng-You Lin, Jia-Heng Zou, Juris Klonovs, Meng-Xuan Jia, Pin-Chih Lin, Tsung-Lin Kuo, Wei-Lien Sung, Yu-Hua Xiao, and Joschka Boedecker. CrudeScientists Team Description. In RoboCup 2009 Proceedings CD-Rom, 2009.

[46]   Joschka Boedecker, Joe Lizier, N. M. Mayer, Oliver Obst, and Minoru Asada. Information transfer in recurrent neural networks. In 2nd International Workshop on Guided Self-Organisation (GSO-2009) in Leipzig, 2009.

[47]   Joschka Boedecker, Oliver Obst, N. M. Mayer, and Minoru Asada. Studies on reservoir initialization and dynamics shaping in echo state networks. In Proceedings of the 17th European Symposium On Artificial Neural Networks (ESANN’09), 2009.