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NERD Neurodynamics and Evolutionary Robotics Development Kit [chapter]

Christian Rempis, Verena Thomas, Ferry Bachmann, Frank Pasemann
2010 Lecture Notes in Computer Science  
The aim of Evolutionary Robotics is to develop neural systems for behavior control of autonomous robots.  ...  The Neurodynamics and Evolutionary Robotics Development kit (NERD), presented in this article, is a free open-source framework to rapidly implement such applications.  ...  This work was partly funded by EU-Project Number ICT 214856 (ALEAR Artificial Language Evolution on Autonomous Robots. http://www.alear.eu).  ... 
doi:10.1007/978-3-642-17319-6_14 fatcat:qrsucuqos5ehfbfzjg5hlcu7ba

Time perception in shaping cognitive neurodynamics of artificial agents

Michail Maniadakis, Jun Tani, Panos Trahanias
2009 2009 International Joint Conference on Neural Networks  
In the current paper, we make a first attempt for studying artificial time perception by means of simulated robotic experiments.  ...  An evolutionary process is used to search for neuronal mechanisms accomplishing the rule switching task taking also into account its particular temporal characteristics.  ...  The scores accomplished by the controllers are used to sort and evolve the population of chromosomes, therefore producing a new generation of CTRNN controllers that is ready for evaluation.  ... 
doi:10.1109/ijcnn.2009.5178987 dblp:conf/ijcnn/ManiadakisTT09 fatcat:g6y722uqird3to5b46riplf4oi

Robot Control and the Evolution of Modular Neurodynamics

F PASEMANN
2001 Theory in biosciences  
For demonstration, evolved networks for the control of miniature Khepera robots are presented.  ...  The aim is to develop robust controllers in the sense that neuro-controllers evolved in a simulator show comparably good behavior when loaded to a real robot acting in a physical environment.  ...  Evolved networks for Khepera control The Khepera robots [21] are miniature cylindrical robots (diameter of 55 mm, figure 1 ).  ... 
doi:10.1078/1431-7613-00047 fatcat:kdzfwswlffhw3ix77kybgglayu

Robot control and the evolution of modular neurodynamics

Frank Pasemann, Uli Steinmetz, Martin Hülse, Bruno Lara
2001 Theory in biosciences  
For demonstration, evolved networks for the control of miniature Khepera robots are presented.  ...  The aim is to develop robust controllers in the sense that neuro-controllers evolved in a simulator show comparably good behavior when loaded to a real robot acting in a physical environment.  ...  Evolved networks for Khepera control The Khepera robots [21] are miniature cylindrical robots (diameter of 55 mm, figure 1 ).  ... 
doi:10.1007/s12064-001-0025-9 fatcat:2g7sugmamjeatd66pgfr3yiuai

Dynamical Systems in the Sensorimotor Loop: On the Interrelation Between Internal and External Mechanisms of Evolved Robot Behavior [chapter]

Martin Hülse, Steffen Wischmann, Poramate Manoonpong, Arndt von Twickel, Frank Pasemann
2007 Lecture Notes in Computer Science  
By using structural evolution, minimal recurrent neural networks of general type were evolved for behavior control.  ...  This case study demonstrates how the synthesis and the analysis of minimal recurrent neural robot control provide insights into the exploration of embodiment.  ...  the evolved neurodynamics.  ... 
doi:10.1007/978-3-540-77296-5_18 fatcat:pr5v6v67rffmhllquc4hdlbcse

Neuro-Controllers for Walking Machines — An Evolutionary Approach to Robust Behavior [chapter]

Joern Fischer, Frank Pasemann, Poramate Manoonpong
2005 Climbing and Walking Robots  
In the following article we present a method to evolve neural controllers keeping the complexity of the networks and the expense to evolve them small.  ...  On a first view complex machines with many degrees of freedom seem to need a complex control structure.  ...  This modular neurodynamics approach is used together with a physical simulation environment to evolve controllers for real world tasks.  ... 
doi:10.1007/3-540-29461-9_7 fatcat:h3bq2eifajd7xp63mxwa3qacc4

Explorations on artificial time perception

Michail Maniadakis, Panos Trahanias, Jun Tani
2009 Neural Networks  
An evolutionary process is employed to search for neuronal mechanisms that accomplish the underlying task and self-organize time-processing dynamics.  ...  The obtained results are related with previous brain imaging studies on time perception, and they are used to formulate suggestions for the cortical representation of time in biological agents.  ...  The scores accomplished by the controllers are used to sort and evolve the population of chromosomes, therefore producing a new generation of CTRNN controllers that is ready for evaluation.  ... 
doi:10.1016/j.neunet.2009.06.045 pmid:19619980 fatcat:fqwgdpnw2rfztjm2y4ba4l6qhy

Towards temporal cognition for robots: A neurodynamics approach

Weronika Wojtak, Flora Ferreira, Luis Louro, Estela Bicho, Wolfram Erlhagen
2017 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)  
For the experiment we adopt an assembly paradigm from our previous work on natural human-robot interactions. The robot first watches a human executing a sequence of assembly steps.  ...  Here we report result of a robotics experiment in which we test a computational model of action timing based on processing principles of neurodynamics.  ...  The neurodynamics approach differs fundamentally from implementations of robot time perception based on classical artificial intelligence (AI) methods (for discussion see [3] , [5] , [11] , [17] ).  ... 
doi:10.1109/devlrn.2017.8329836 dblp:conf/icdl-epirob/WojtakFLBE17 fatcat:43yy372du5ei5n5mhtxhnicnee

On What Makes Certain Dynamical Systems Cognitive: A Minimally Cognitive Organization Program

Xabier Barandiaran, Alvaro Moreno
2006 Adaptive Behavior  
We highlight the functional role of emotional embodiment: internal bioregulatory processes coupled to the formation and adaptive regulation of neurodynamic autonomy.  ...  A definition of cognition as adaptive-autonomy in the embodied and situated neurodynamic domain is provided: the compensatory regulation of a web of stability dependencies between sensorimotor structures  ...  Acknowledgments Funding for this work was provided by grants: 9/UPV 00003. 230-13707/2001 from the University of the Basque Country and BMC2000-0764 and HUM2005-02449/FISO from the Ministry of Science  ... 
doi:10.1177/105971230601400208 fatcat:ulp24k6rhbh73eqhskywf2y4ce

Intentional systems: Review of neurodynamics, modeling, and robotics implementation

Robert Kozma
2008 Physics of Life Reviews  
Intentional dynamics for control and navigation Basic principles of intentional control Biologically-inspired neural architectures are widely used for control of mobile robots and demonstrated robust  ...  The best ones are embodied in robots and evolve in their interactions with the environment as they complete their tasks.  ... 
doi:10.1016/j.plrev.2007.10.002 fatcat:u3n27tqatndb3mqiwu2pr25nom

Neurodynamics in the Sensorimotor Loop: Representing Behavior Relevant External Situations

Frank Pasemann
2017 Frontiers in Neurorobotics  
, the paper approaches the question of neurodynamics in the sensorimotor loop in a purely formal way.  ...  Consequently, it is suggested that dynamical forms are the basis for a memory of these situations.  ...  Example 3: In evolutionary robotics one often used the motor dynamics of a system as a fitness criterion to reduce the "ineffective" higher dimensional neurodynamics of evolved controllers to analyzable  ... 
doi:10.3389/fnbot.2017.00005 pmid:28217092 pmcid:PMC5289985 fatcat:2hcax5fwojgqfgadgb4uqrz6vu

Chaotic Neurodynamics for Autonomous Agents

D. Harter, R. Kozma
2005 IEEE Transactions on Neural Networks  
We show that this version is capable of replicating the important principles of aperiodic/chaotic neurodynamics while being fast enough for use in real-time autonomous agent applications.  ...  Mesoscopic level neurodynamics study the collective dynamical behavior of neural populations. Such models are becoming increasingly important in understanding large-scale brain processes.  ...  We use the KA units after they have adequately learned obstacle avoidance, at which point we freeze the weights, similar to the evolved weights learned for the HPST.  ... 
doi:10.1109/tnn.2005.845086 pmid:15940987 fatcat:pdpqczhsovgx7ch2hwxanrstaq

Structure and function of evolved neuro-controllers for autonomous robots

Martin Hülse, Steffen Wischmann, Frank Pasemann
2004 Connection science  
The artificial life approach to evolutionary robotics is used as a fundamental framework for the development of a modular neural control of autonomous mobile robots.  ...  A further example describes the co-evolution of different neuro-controllers co-operating to keep a gravitationally driven art-robot in constant rotation.  ...  of evolved neuro-controllers.  ... 
doi:10.1080/09540090412331314795 fatcat:ujw3xrh5fzashbn77octkj3slm

Page 564 of Biological Reviews Vol. 89, Issue 3 [page]

2014 Biological Reviews  
Biologically based distributed control and local reflexes improve rough terrain locomotion in a hexapod robot. Robotics and Autonomous Systems 18, 59—64. 2000).  ...  Robotics and Autonomous Systems 20, 257-289 Beer, R. (2000). Dynamica 4,91-99 Beer, R. (2003). The dynamics of active categorical perception in an evolved model agent.  ... 

MODELING GOAL-ORIENTED DECISION MAKING THROUGH COGNITIVE PHASE TRANSITIONS

ROBERT KOZMA, MARKO PULJIC, LEONID PERLOVSKY
2009 New Mathematics and Natural Computation  
Neuropercolation exhibits phase transitions and it provides a novel mathematical tool for 1 September 30, 2008 11:16 WSPC/INSTRUCTION FILE kozma-nmnc10x 2 Phase transitions and decision making studying  ...  Earlier implementations have been used for robot navigation applications 39, 38 .  ...  Dynamic logic is an abstract description level of the cognitive cycle in which neurodynamics evolves from less conscious to more conscious states, from vague and uncertain to more explicit knowledge.  ... 
doi:10.1142/s1793005709001246 fatcat:oisqyz2cf5bjnmueqsizbm6jum
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