Results 111 to 120 of about 36,062 (158)

On Bio-Inspired Strategies for Flow Control, Fluid-Structure Interaction, and Thermal Transport. [PDF]

Biomimetics (Basel)
Ahmed F, Chamorro LP.
europepmc   +1 more source

Bioinformation vortices and the emergence of plant life: A unified theory integrating prebiotic signal processing and evolutionary transitions. [PDF]

Commun Integr Biol
Thangamani A, Arumuganainar D.
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Age-Trajectory of Mother-Infant Relationships in Wild Assamese Macaques. [PDF]

Am J Primatol
Arbaiza-Bayona AL, Mundry R, Malaivijitnond S, Meesawat S, Schülke O, Ostner J.   +5 more
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Modal analysis and optimization of swimming active filaments. [PDF]

Philos Trans A Math Phys Eng Sci
Severn J, Lauga E.
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Self-organized control of bipedal locomotion by neural oscillators in unpredictable environment

Biological Cybernetics, 1991
A new principle of sensorimotor control of legged locomotion in an unpredictable environment is proposed on the basis of neurophysiological knowledge and a theory of nonlinear dynamics. Stable and flexible locomotion is realized as a global limit cycle generated by a global entrainment between the rhythmic activities of a nervous system composed of ...
Taga, G., Yamaguchi, Y., Shimizu, H.
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An Adaptive, Self-Organizing Dynamical System for Hierarchical Control of Bio-Inspired Locomotion

IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 2004
In this paper, dynamical systems made up of locally coupled nonlinear units are used to control the locomotion of bio-inspired robots and, in particular, a simulation of an insect-like hexapod robot. These controllers are inspired by the biological paradigm of central pattern generators and are responsible for generating a locomotion gait.
ARENA, Paolo Pietro, FORTUNA, Luigi, FRASCA, MATTIA, G. SICURELLA   +3 more
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Self-Organizing Map With Time-Varying Structure to Plan and Control Artificial Locomotion

IEEE Transactions on Neural Networks and Learning Systems, 2015
This paper presents an algorithm, self-organizing map-state trajectory generator (SOM-STG), to plan and control legged robot locomotion. The SOM-STG is based on an SOM with a time-varying structure characterized by constructing autonomously close-state trajectories from an arbitrary number of robot postures.
Aluizio F. R. Araujo, Orivaldo V. Santana   +1 more
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Development of Representative Driving Cycle for Switch Locomotive Based on Self-organizing Feature Map

2020 IEEE 16th International Conference on Control & Automation (ICCA), 2020
Driving cycles are widely used in testing fuel consumption and vehicle emission. To develop a representative driving cycle for Chinese switch locomotives, 224 day’s driving data of assembling mode and transfer mode is collected. Linear interpolation and Kalman filter are applied to re-sample data with fixed sampling frequency and eliminate measurement ...
Siyou Tao, Chang Nie, Hui Zhang
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A Self-Organizing Map for Controlling Artificial Locomotion

2010
This paper investigates the ability of STRAGEN to construct state trajectories so as to control the locomotion of legged robots. STRAGEN is a model of a self-organized artificial neural network which has a variable topology. Two scenarios are developed: one for checking the behavior of STRAGEN vis-a-vis noisy data and other to test the ability of ...
Orivaldo V. Santana, Aluizio F. R. Araújo   +1 more
openaire   +1 more source