Results 61 to 70 of about 150,864 (269)

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

The spillover effects of economic policy uncertainty on Turkish Unemployment

İktisat Politikası Araştırmaları Dergisi
Türkiye is a small open economy with free capital mobility; therefore, it may be subject to international transmission of economic policy uncertainty shocks.
Ahmet Güney, Mustafa Karakuş, Nuriye Güneyi   +2 more
doaj   +1 more source

Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space

Advanced Robotics Research, EarlyView.
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo, Jiahui Zhang, Yimin Han, Ji Ma, Minghao Lu, Ioannis Havoutis, Peng Lu   +6 more
wiley   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

Spillover effect of climate policy uncertainty, global climate risk and energy price index in major countries based on quantile VAR

International Review of Economics & Finance
This study incorporates climate policy uncertainty in major global economies, global climate risks, and energy prices into a unified analytical framework.
Zhiyang Liu, Yaoshu Xie
doaj   +1 more source

Hard‐Magnetic Soft Millirobots in Underactuated Systems

Advanced Robotics Research, EarlyView.
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang, Zixuan Zhang, Bingyan Li, Junkai Wang, Hongcheng Gu   +4 more
wiley   +1 more source

Geopolitical Risk and Economic Policy Uncertainty: A Regime-Dependent VAR Analysis [PDF]

Ovidius University Annals: Economic Sciences Series
This paper investigates the dynamic relationship between global economic policy uncertainty (GPU) and geopolitical risk (GPR) over the period 1997–2025.
Iulia Lupu, Adina Criste
doaj  

The Impact of Financial Uncertainty on Monetary Policy, Inflation and Output in Iran: A Markov Jump-Linear-Quadratic (MJLQ) Approach [PDF]

فصلنامه پژوهش‌های اقتصادی ایران, 2016
Using a Markov Jumping Linear Quadratic (MJLQ) method, this paper examines the impact of financial uncertainty on monetary policy in Iran in the context of a new Keynesian model.
Karim Eslamloueyan, Sara Mehralian
doaj  

Policy search for multi-robot coordination under uncertainty

The International Journal of Robotics Research, 2015
We introduce a principled method for multi-robot coordination based on a general model (termed a MacDec-POMDP) of multi-robot cooperative planning in the presence of stochasticity, uncertain sensing, and communication limitations. A new MacDec-POMDP planning algorithm is presented that searches over policies represented as finite-state controllers ...
Christopher Amato, George Dimitri Konidaris, Ariel Anders, Gabriel Cruz, Jonathan P. How, Leslie Pack Kaelbling   +5 more
openaire   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source