Results 21 to 30 of about 7,020 (190)

Energetic Extremes in Aquatic Locomotion by Coral Reef Fishes [PDF]

, 2015
Underwater locomotion is challenging due to the high friction and resistance imposed on a body moving through water and energy lost in the wake during undulatory propulsion.
Fulton, Christopher J., Johansen, Jacob L., Steffensen, John F.   +2 more
core   +1 more source

RTCS: a reactive with tags classifier system [PDF]

, 2000
In this work, a new Classifier System is proposed (CS). The system, a Reactive with Tags Classifier System (RTCS), is able to take into account environmental situations in intermediate decisions.
Isasi, Pedro, Molina López, José Manuel, Sanchis de Miguel, María Araceli, Segovia, Javier   +3 more
core   +2 more sources

Neural network controller against environment: A coevolutive approach to generalize robot navigation behavior [PDF]

, 2002
In this paper, a new coevolutive method, called Uniform Coevolution, is introduced to learn weights of a neural network controller in autonomous robots.
Berlanga de Jesús, Antonio, Isasi, Pedro, Molina López, José Manuel, Sanchis de Miguel, María Araceli   +3 more
core   +2 more sources

Communicative Acts Performance of an Indonesian Child [PDF]

, 2006
This study attempts to describe the communicative acts of an Indonesian child by using the coding system of speech acts proposed by Ninio and Snow. The data are the subject\u27s spoken utterances which were recorded.
Palupi, M. G. (M)
core   +3 more sources

Mechanical plaque removal in step‐1 of care

Periodontology 2000, EarlyView., 2023
Abstract Maintaining a regular oral hygiene routine is essential for taking care of our mouths, ensuring healthy teeth, and achieving fresh breath. Patient education on oral hygiene is an important component of their overall treatment. Firstly, patients should be informed about the direct connection between bacteria in dental plaque and oral diseases ...
G. A. (Fridus) Van der Weijden, Cor van Loveren   +1 more
wiley   +1 more source

Fast, Accurate Thin-Structure Obstacle Detection for Autonomous Mobile Robots

, 2017
Safety is paramount for mobile robotic platforms such as self-driving cars and unmanned aerial vehicles. This work is devoted to a task that is indispensable for safety yet was largely overlooked in the past -- detecting obstacles that are of very thin ...
Hua, Gang, Yang, Jiaolong, Zhao, Chunshui, Zhou, Chen   +3 more
core   +1 more source

Applying classifier systems to learn the reactions in mobile robots [PDF]

, 2001
The navigation problem involves how to reach a goal avoiding obstacles in dynamic environments. This problem can be faced considering reactions and sequences of actions.
Isasi, Pedro, Molina López, José Manuel, Sanchis de Miguel, María Araceli, Segovia, Javier   +3 more
core   +2 more sources

Robot life: simulation and participation in the study of evolution and social behavior. [PDF]

, 2018
This paper explores the case of using robots to simulate evolution, in particular the case of Hamilton's Law. The uses of robots raises several questions that this paper seeks to address.
AE Eiben, ANH Creager, B Bensaude-Vincent, C Kelty, Christopher M. Kelty, D Floreano, D Floreano, D Goldberg, DA Levitis, DW Smith, E Winsberg, EF Keller, EG Leigh, F Steinle, FJ Varela, H Landecker, H Landecker, H Landecker, H Landecker, J Dupré, J Krause, J Lenhard, J Riskin, JA Kurland, JA Piliavin, JC Schank, L Berthouze, L Berthouze, L Suchman, LR Franklin, M Asada, M Lungarella, M Waibel, MA Nowak, P Humphreys, P Huneman, R Pfeifer, RM Bergner, RR Kline, S Dutreuil, S Garnier, S Helmreich, S Helmreich, S Mitri, S Mitri, S Mitri, S Okasha, S Schweber, SF Gilbert, Stephen J Gould, T Grune-Yanoff, W Parker, WC Wimsatt, WD Hamilton   +53 more
core   +1 more source

A general learning co-evolution method to generalize autonomous robot navigation behavior [PDF]

, 2000
Congress on Evolutionary Computation. La Jolla, CA, 16-19 July 2000.A new coevolutive method, called Uniform Coevolution, is introduced, to learn weights for a neural network controller in autonomous robots. An evolutionary strategy is used to learn high-
Berlanga de Jesús, Antonio, Isasi, Pedro, Molina López, José Manuel, Sanchis de Miguel, María Araceli   +3 more
core   +2 more sources

Patterning the Void: Combining L‐Systems with Archimedean Tessellations as a Perspective for Tissue Engineering Scaffolds

Advanced Functional Materials, EarlyView.
This study introduces a novel multi‐scale scaffold design using L‐fractals arranged in Archimedean tessellations for tissue regeneration. Despite similar porosity, tiles display vastly different tensile responses (1–100 MPa) and deformation modes. In vitro experiments with hMSCs show geometry‐dependent growth and activity. Over 55 000 tile combinations
Maria Kalogeropoulou, Kenny A. van Kampen, Pierpaolo Fucile, Carlos Mota, Lorenzo Moroni   +4 more
wiley   +1 more source