Morphogenetic Robotics - An Evolutionary Developmental Approach to Morphological and Neural Self-Organization of Robotic Systems

2011 ◽  
pp. 3-23 ◽  
Author(s):  
Yaochu Jin ◽  
Yan Meng
Keyword(s):  
Robotic Systems ◽  
Self Organization ◽  
Developmental Approach

Fast and robust self-organization for micro-electro-mechanical robotic systems

2015 ◽  
Vol 93 ◽  
pp. 141-152 ◽  
Author(s):  
Hicham Lakhlef ◽  
Julien Bourgeois
Keyword(s):  
Robotic Systems ◽  
Self Organization

Automatic education and self organization of intelligent robotic systems based on genetic algorithms

2006 ◽  
Author(s):  
Valery M. Lokhin ◽  
Serge V. Man'ko ◽  
Michael P. Romanov ◽  
Ilya B. Gartseev ◽  
Michael V. Kadochnikov
Keyword(s):  
Genetic Algorithms ◽  
Robotic Systems ◽  
Self Organization

A Bioinspired Approach Combining L-Systems and Cellular Automata for Distributed Self-Reconfiguration of UBot Modular Robotic Systems

2016 ◽  
Author(s):  
Dongyang Bie ◽  
Yanhe Zhu ◽  
JiZhuang Fan ◽  
Xiaolu Wang ◽  
Yu Zhang ◽  
...  
Keyword(s):  
Cellular Automata ◽  
Robotic Systems ◽  
Self Organization ◽  
Lindenmayer Systems ◽  
Topological Description ◽  
Biological Principle ◽  
L Systems ◽  
Automatic Planning ◽  
And Control ◽  
Organizing Principles

Self-reconfiguration of Modular Self-Reconfigurable (MSR) robots is a fundamental primitive that can be used as part of higher-lever functionality. The biological principle of self-organizing and growth in both animals and plants is learned to solve the automatic planning of configuration and control methods. A bioinspired approach is proposed for distributed self-reconfiguration. This method aims at utilizing the self-organization and pattern emergence of the MSR robotic system, which is made of large quantity of modules to promote the system to reconfigure in the direction of adapting to environments and tasks. This mechanism is hybrid by combining Lindenmayer systems (L-systems) and Cellular Automata (CA). L-systems are introduced for defining global structure and providing topological description. Cellular Automata (CA) handle motion planning of distributed modules. This method is absolutely distributed and convergent to self-adaptive structures with desired organizing principles. The convergence of proposed method is verified through simulations and experiments on UBot robots.

scholarly journals FORMATION OF MOTIVES OF EDUCATIONAL ACTIVITY AS ONE OF THE CONDITIONS FOR SUCCESSFUL SELF-ORGANIZATION OF STUDENTS FROM CADET SCHOOLS AND MARIINSKY FEMALE GYMNASIUMS OF THE KRASNOYARSK TERRITORY

2021 ◽  
Vol 58 (4) ◽  
pp. 30-43
Author(s):  
Yu.S. Davydochkina ◽  
◽  
M.V. Safonova ◽  
Keyword(s):  
High School Students ◽  
Educational Institution ◽  
Educational Process ◽  
Educational Activity ◽  
Self Organization ◽  
Educational Organizations ◽  
Developmental Approach ◽  
Personal Time ◽  
Regional State ◽  
State Educational

Statement of the problem. Article presents an overview of theoretical positions and studies devoted to the formation of students’ motivation, considered as certain human actions aimed at achieving a goal, as well as being one of the conditions for successful self-organization. The purpose of the article is to characterize the features of the motives of educational activity among students from cadet schools and Mariinsky female gymnasiums, depending on the level of self-organization. Research methodology. Theoretical and methodological basis of research includes the following approaches: a systematic approach: the principle of consistency, the principle of development (L.I. Antsyferova, B.A. Drummers, I.V. Blauberg, B.F. Lomov, E.G. Yudin, etc.), activity-based approach: the principle of determinism, the principle of unity of consciousness and activity (K.A. Abulkhanova, A.G. Asmolov, L.S. Vygotsky, A.N. Leontiev, V.D. Shadrikov, etc.), and subject-developmental approach: the principle of balance between individual and the public (a. Adler, A. Maslow, K. Rogers, K.A. Abulkhanova, S.L. Rubinstein, E.A. Sergienko, L.V. Slobodchikov, etc.). The study involved 920 students of the cadet and female gymnasium education system of the Krasnoyarsk Territory aged 12 to 17. The research was based on the regional state educational organizations with the specialized name “cadet (sea cadet) corps” and the regional state educational organizations of the Mariinsky female gymnasium, as well as the regional state autonomous educational institution “Regional boarding school for work with gifted children “Cosmonautics School”. We used the following for diagnostics: the “Methodology for diagnosing the type of school motivation” in high school students by E. Lepeshova, and “Methodology for diagnosing personal time disorganizers” by O.V. Kuzmina. Statistical data processing included comparison of samples and analysis of the interdependence of features. To compare the samples, the Mann Whitney U-test was used, the correlation analysis was based on the calculation of the Spearman correlation coefficient. Research results. The key reasons leading to unproductive organization of the activity of students in cadet schools and Mariinsky gymnasiums are emotional tension and emotional apathy. Organizational disorganizers associated with the lack of skills in planning, setting priorities, ability to work on one problem for a long time, desire to postpone duties. Internal motives of learning related with knowledge, self-development, self-realization are noted in a small number of students. There is a high level of motivation associated with awareness of social need for education, prestige of education in a family, with approval of parents. The motives associated with the approval of teachers, classmates, and the prestige of studying in the classroom are mostly presented at a low level. The value-semantic disorganizers of time and emotional apathy have direct interrelationships in all other parameters of personal disorganizers. Conclusion. Understanding the interrelationships of the parameters of personal time disorganizers and the key motives of adolescents will increase the overall level of self-organization among students and help competently organize psychological work during the educational process in closed educational institutions.

Special Issue on Distributed Robotic Systems

1996 ◽  
Vol 8 (5) ◽  
pp. 395-395 ◽  
Author(s):  
Hajime Asama ◽  
Keyword(s):  
Mobile Robots ◽  
Motion Control ◽  
Fault Tolerant ◽  
Collective Intelligence ◽  
Distributed Artificial Intelligence ◽  
Robotic Systems ◽  
Self Organization ◽  
Special Issue ◽  
Cooperative Motion ◽  
Autonomous Robotic Systems

Distributed Robotic Systems are focused on as a new strategy to realize flexible, robust and fault-tolerant robotic systems. In conferences and symposia held recently, the number of papers related to the Distributed Robotic Systems has increased rapidly1,2,3) which shows this area has become one of the most interesting subjects in robotics. The Distributed Robotic Systems require a broad area of interdisciplinary technologies related not only to robotics and computer engineering (especially distributed artificial intelligence and artificial life), but also to biology and psychology. Distributed Robotic Systems can be defined as robot systems which are composed of various types and levels of units, such as cells, modules, agents and robots. One category of papers included in this volume is a robot with a distributed architecture, where modular structure is adopted and/or the robot system is controlled by many CPUs in a distributed manner. Cellular robotic systems are included in this category4). Another category of the papers is cooperative motion control of multiple robots. Coordinated control of multiple manipulators and cooperative motion control by multiple mobile robots using communication are discussed in these papers. The new elemental technologies are also presented, which are required for realization of advanced cooperative motion control of multiple autonomous mobile robots in this volume. The last category of the papers is self-organization of distributed robotic systems. Though the Journal of Robotics and MecharQnics has already published the special issues on the self-organization system,5,6) the latest progress is also presented in this volume. The papers belonging to this category are directed to swarm/collective intelligence in multi-robot cooperation issues. I believe this special issue will inspire the reader's interests in the Distributed Robotic Systems and accelerate the growth of this new arising interdisciplinary research area. References: 1)H.Asama, T.Fukuda, T.Arai and I.Endo eds., Distributed Autonomous Robotic Systems, Springer-Verlag, Tokyo, (1994). 2) H.Asama, T.Fukuda, T.Arai and I.Endo eds.,Distributed Autonomous Robotic Systems 2 , Springer-Verlag, Tokyo, (1996). 3) Robotics Society of Japan, Advanced Robotics 10,6, (1996). 4) T.Fukuda and T.Ueyama, Cellullar Robotics and Micro Robotic Systems,World Scientific, Singapore, (1994). 5) Fuji Technology Press Ltd., Journal of Robotics and Mechatronics,4,2,(1992). 6) Fuji Technology Press Ltd., Journal of Robotics and Mechatronics,4,3,(1992).

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