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A modular neurocontroller for creative mobile autonomous robots learning by temporal difference

H.A. Mayer
2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)  
We analyze the potential of the above approach by measuring the ability of (simulated) robots to learn simple tasks using temporal difference (TD) learning.  ...  One of the most prominent research goals in the field of mobile autonomous robots is to create robots that are able to adapt to new environments, i.e., the robots should be able to learn during their "  ...  Summary We have presented experiments with mobile autonomous robots steered by neurocontrollers being trained on-line via reinforcement learning.  ... 
doi:10.1109/icsmc.2004.1401110 dblp:conf/smc/Mayer04 fatcat:l3qqsmllv5gudej74nsns6qd3q

Are There Biomimetic Lessons from Genetic Regulatory Networks for Developing a Lunar Industrial Ecology?

Alex Ellery
2021 Biomimetics  
We examine the prospect for employing a bio-inspired architecture for a lunar industrial ecology based on genetic regulatory networks.  ...  captured by traditional electrical engineering design with emphasis on feedforward and feedback loops to implement robustness.  ...  FMS comprise multiple cells of robots, CNC machines and material handling linked by a computer network to maximise its autonomous capabilities [25] .  ... 
doi:10.3390/biomimetics6030050 fatcat:yglsxb2mzzc75bbiqlx2rlzkha

Unit commitment considering multiple charging and discharging scenarios of plug-in electric vehicles

Zhile Yang, Kang Li, Qun Niu, Aoife Foley
2015 2015 International Joint Conference on Neural Networks (IJCNN)  
[#15415] Shaoning Pang, Yiming Peng, Tao Ban, Daisuke Inoue and Abdolhossein Sarrafzadeh 9:30AM Interactive Online Learning for Obstacle Classification on a Mobile Robot [#15478] Viktor Losing, Barbara  ...  by Reading a Book Better Than Watching a Movie?  ... 
doi:10.1109/ijcnn.2015.7280446 dblp:conf/ijcnn/YangLNF15 fatcat:6xlakikcfzfyhhm2spooe2j7ra

Horizons for the Enactive Mind: Values, Social Interaction, and Play [chapter]

Ezequiel A. Di Paolo, Marieke Rohde, Hanne De Jaegher
2010 Enaction  
Enactivism allows us to see embodied social interaction and coordination at many different levels in an integrated manner, from the emergence of autonomous temporal structures that regulate interaction  ...  For the enactive view play is seen as re-creation whereas for computationalism fun is a mystery. These discussions will be supported and illustrated with examples from work in evolutionary robotics.  ...  Enactivism allows us to see embodied social interaction and coordination at many different levels in an integrated manner, from the emergence of autonomous temporal structures that regulate interaction  ... 
doi:10.7551/mitpress/9780262014601.003.0003 fatcat:uovnsxligvdatcmqgc64u4qfwu

Recurrent Neural Networks [chapter]

Sajid A. Marhon, Christopher J. F. Cameron, Stefan C. Kremer
2013 Intelligent Systems Reference Library  
Other chapters examine natural language as a dynamic system appropriate for grammar induction and language learning using recurrent neural networks.  ...  Learning is a critical issue and one of the primary advantages of neural networks.  ...  ACKNOWLEDGMENTS This work has been supported by funding from The Foundation for Knowledge and Competence Development (1507/97), Sweden.  ... 
doi:10.1007/978-3-642-36657-4_2 fatcat:jnmgv7rlifhuncqhi5kxldepdm