Results 161 to 170 of about 197,676 (281)

Exploiting the Kumaraswamy distribution in a reinforcement learning context. [PDF]

Front Robot AI
Picchi D, Brell-Çokcan S.
europepmc   +1 more source

Topology and Material Optimization in Ultra‐Soft Magneto‐Active Structures: Making Advantage of Residual Anisotropies

Advanced Materials, EarlyView.
Residual magnetization induces pronounced mechanical anisotropy in ultra‐soft magnetorheological elastomers, shaping deformation and actuation even without external magnetic fields. This study introduces a computational‐experimental framework integrating magneto‐mechanical coupling into topology optimization for designing soft magnetic actuators with ...
Carlos Perez‐Garcia, Rogelio Ortigosa, Jesús Martínez‐Frutos, Daniel Garcia‐Gonzalez   +3 more
wiley   +1 more source

Reinforcement learning in densely recurrent biological networks. [PDF]

iScience
Churchland MW, Garcia-Ojalvo J.
europepmc   +1 more source

Materials and System Design for Self‐Decision Bioelectronic Systems

Advanced Materials, EarlyView.
This review highlights how self‐decision bioelectronic systems integrate sensing, computation, and therapy into autonomous, closed‐loop platforms that continuously monitor and treat diseases, marking a major step toward intelligent, self‐regulating healthcare technologies.
Qiankun Zeng, Hong Liu, Yongheng Zhang, Youbin Zheng, Xuyin Ding, Mengni Zhu, Guoyue Shi, Yan Wang, Hossam Haick, Min Zhang   +9 more
wiley   +1 more source

Enhancing queries for code generation with reinforcement learning. [PDF]

Sci Rep
Yuan D, Liang G, Li T, Liu S.
europepmc   +1 more source

Recent Progress on Flexible Multimodal Sensors: Decoupling Strategies, Fabrication and Applications

Advanced Materials, EarlyView.
In this review, we establish a tripartite decoupling framework for flexible multimodal sensors, which elucidates the underlying principles of signal crosstalk and their solutions through material design, structural engineering, and AI algorithms. We also demonstrate its potential applications across environmental monitoring, health monitoring, human ...
Tao Wu, Yu‐Tao Li, Luyu Zhao, Yi Zhang, Zhaojie Zhang, Jian Yuan, Yiwen Wu, Anqi Che, Yuanxiao Ma, Yang Chai, Yeliang Wang   +10 more
wiley   +1 more source

Reinforcement learning for UAV flight controls: Evaluating continuous space reinforcement learning algorithms for fixed-wing UAVs. [PDF]

PLoS One
Khanzada HR, Maqsood A, Basit A.
europepmc   +1 more source

Ultra‐Improved Interfacial Strength Between Metallic Surface and Polyurethane via Cost‐Effective Anodizing Process

Advanced Materials Interfaces, EarlyView.
SAA significantly enhanced Al/PU bonding, increasing SLSS by up to 920% and fracture energy by 15 100% through optimized micro‐nano porous surfaces. RSM identified the optimal anodizing conditions, while ML confirmed sulfuric acid concentration and roughness as dominant predictors of strength.
Umut Bakhbergen, Sherif Araby, Zhandos Tauanov, Nursultan Turdakyn, Reza Montazami, Fethi Abbassi, Gulnur Kalimuldina   +6 more
wiley   +1 more source

Discovery of the reward function for embodied reinforcement learning agents. [PDF]

Nat Commun
Lu R, Shao Z, Ding Y, Chen R, Wu D, Su H, Yang T, Zhang F, Wang J, Shi Y, Jiang ZP, Ding H, Zhang HT.   +12 more
europepmc   +1 more source

A Sleeve Alters the Pressure‐Stretch Curve of a Hyperelastic Balloon to Enable Pre‐Programmed Sequencing

Advanced Materials Technologies, Volume 10, Issue 6, March 18, 2025.
This article demonstrates that encasing a hyperelastic balloon in an inextensible sleeve greatly increases its burst pressure. This simple mechanical behavior can be used to produce an asymmetric inflation‐deflation sequence for coupled balloons with different thicknesses so they could serve as a soft robot's rear and front anchors when driven from a ...
Ifat Gertler, Katherine J. Kuchenbecker
wiley   +1 more source