Robotic control based on the human nervous system

This article presents a model of robotic control system inspired by the human neuroregulatory system. This model allows the application of functional and organizational principles of biological systems to robotic systems. It also proposes appropriate technologies to implement this proposal, in particular the services. To illustrate the proposal, we implemented a control system for mobile robots in dynamic open environments, demonstrating the viability of both the model and the technologies chosen for implementation.

[1]  Julie A. Adams,et al.  Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence , 2001, AI Mag..

[2]  Rafael Luján.  The Human Nervous System: Structure and Function, 6th ed., C.R. Noback, N.L. Strominger, R.J. Demarest, D.A. Ruggiero (Eds.). The Humana Press (2005), Price $99.50, ISBN: 1-588-29-039-5 , 2006 .

[3]  Cen Li,et al.  Programming Khepera II robot for autonomous navigation and exploration using the hybrid architecture , 2009, ACM-SE 47.

[4]  Juan Manuel García Chamizo,et al.  Mobile agent system framework suitable for scalable networks , 2012, Kybernetes.

[5]  José Vicente Berná-Martínez,et al.  Model of integration and management for robotic functional components inspired by the human neuroregulatory system , 2010, 2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010).

[6]  Juan Manuel García Chamizo,et al.  Modeling the Distributed Control of the Lower Urinary Tract Using a Multiagent System , 2004, MDAI.

[7]  Henrik Engström,et al.  DR ABBility: Agent Technology and Process Control , 1999 .

[8]  Rodney A. Brooks,et al.  A Robust Layered Control Syste For A Mobile Robot , 2022 .

[9]  Robert Dantzer,et al.  Hormones, Brain and Behavior, 5 volumes, 2nd edition, W. Donald, Pfaff, H. Arthur, Arnold, M. Anne, Etgen, E. Susan, Fahrbach, T. Robert, Rubin (Eds.). Academic Press/Elsevier, Amsterdam (2009), 108 chapters, 3627pp., ISBN: 978-0-12-374383-4 , 2010 .

[10]  Jacques Ferber,et al.  Multi-agent systems - an introduction to distributed artificial intelligence , 1999 .

[11]  Donald W. Pfaff,et al.  Hormones, brain, and behavior , 2009 .

[12]  John R Anderson,et al.  An integrated theory of the mind. , 2004, Psychological review.

[13]  Benedetto Intrigila,et al.  Resource-Optimal Planning For An Autonomous Planetary Vehicle , 2010, ArXiv.

[14]  Junku Yuh,et al.  Robotics: State of the Art and Future Challenges , 2008 .

[15]  P. Redgrave,et al.  The basal ganglia: a vertebrate solution to the selection problem? , 1999, Neuroscience.

[16]  Ana Mas.  Agentes software y sistemas multiagente : conceptos, arquitecturas y aplicaciones , 2005 .

[17]  Ronald C. Arkin,et al.  An Behavior-based Robotics , 1998 .

[18]  C. Gallistel.  The Organization of Action: A New Synthesis , 1982 .

[19]  José L. Poza,et al.  Agent-based distributed architecture for mobile robot control , 2008, Eng. Appl. Artif. Intell..

[20]  Elena R. Messina,et al.  Experimental Studies of Integrated Cognitive Systems , 2004 .

[21]  John E. Laird,et al.  Extending the Soar Cognitive Architecture , 2008, AGI.

[22]  Juan Manuel García Chamizo,et al.  Simulation of the Neuronal Regulator of the Lower Urinary Tract Using a Multiagent System , 2009, IWANN.

[23]  J. Cacioppo,et al.  Neurobehavioral Organization and the Cardinal Principle of Evaluative Bivalence a , 1993, Annals of the New York Academy of Sciences.

[24]  Thomas Erl,et al.  Service-Oriented Architecture: Concepts, Technology, and Design , 2005 .

[25]  J. Jackson,et al.  Evolution and Dissolution of the Nervous System , 1998 .

[26]  Oren Etzioni,et al.  PRODIGY: an integrated architecture for planning and learning , 1991, SGAR.

[27]  Eric A. Marks,et al.  Service-Oriented Architecture: A Planning and Implementation Guide for Business and Technology , 2006 .

[28]  Zhihua Qu,et al.  Path Planning for Mobile Robots Based on Hybrid Architecture Platform , 2010, Comput. Inf. Sci..

[29]  Ronald C. Arkin,et al.  Governing lethal behavior: Embedding ethics in a hybrid deliberative/reactive robot architecture part I: Motivation and philosophy , 2008, 2008 3rd ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[30]  E. Benarroch,et al.  Enteric nervous system , 2007, Neurology.

[31]  Trevor Taylor,et al.  Professional Microsoft Robotics Developer Studio , 2008 .

[32]  Pat Langley,et al.  Cognitive architectures: Research issues and challenges , 2009, Cognitive Systems Research.

[33]  Jorge Cortes,et al.  Distributed Control of Robotic Networks: A Mathematical Approach to Motion Coordination Algorithms , 2009 .

[34]  Sanjay Singh,et al.  SYMBOLIC VERIFICATION OF A STRENGTH BASED MULTI -AGENT ARGUMENTATION SCHEME , 2011 .