Results 211 to 220 of about 151,265 (269)
From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures
Advanced Robotics Research, EarlyView.This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley +1 more source
Advanced Robotics Research, EarlyView.DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano +3 more
wiley +1 more source
Light‐Driven Quadrupedal Walking Biohybrid Robot With Antagonistic Muscle‐Rings and Inclined Joints
Advanced Robotics Research, EarlyView.This work presents a light‐driven quadrupedal walking biohybrid robot powered by antagonistic muscle‐rings that achieve alternating walking gait. Optical training improved reproducibility of cultured muscle tissues, while caffeine treatment enhanced contractile force.
Shotaro Saito +5 more
wiley +1 more source
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Computational intelligence in control
Annual Reviews in Control, 2014Abstract This Milestone Report addresses first the position of the areas of computers, computational intelligence and communications within IFAC. Subsequently, it addresses the role of computational intelligence in control. It focuses on four topics within the Computational Intelligence area: neural network control, fuzzy control, reinforcement ...
António E. B. Ruano +5 more
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Computational intelligence in games
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation, 2012Computational Intelligence and Games is a rather young but fast growing application domain where evolutionary computation is been widely applied. This tutorial aims at giving a brief overview of this area, highlighting the several opportunities for genetic and evolutionary computation methods, and providing some in-depth discussion of specific class of
Daniele Loiacono, Mike Preuß
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Computational Intelligence: An Introduction
2022Over the years, complex problems have arisen in different science and engineering disciplines and have led to the need for computational approaches to solve these problems. Over recent decades, computational approaches, combining computer science, biology, and physiology, have given rise to a new field of science known as Artificial Intelligence (AI ...
Arya Yaghoubzadeh-Bavandpour +3 more
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Perspectives of Computational Intelligence
2002We present some thoughts on current trends and perspectives of Computational Intelligence (CI) both in research and applications. CI methods use with different efficiency numerical and non-numerical models. We identify great potential in automated procedures for building and optimising such models and also we suggest to focus on better treatment of ...
Georgios Tselentis, Maarten van Someren
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Computational Intelligence in Bioinformatics
Neurocomputing, 2010Contains fulltext : 83589.pdf (Publisher’s version ) (Closed access)
Chetty, M. +3 more
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Computational Intelligence Marketing
ACM SIGEVOlution, 2009Research marketing relies on capturing the attention of the targeted audience with inspiring messages and attractive presentations. Simple nontechnical language, interesting stories, and informative visualization are a must in this process. Humor is another significant factor for success and is widely used in many forms.
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