Results 101 to 110 of about 74,253 (260)
Causally Deterministic Markov Decision Processes.
Probabilistic systems are often modeled using factored versions of Markov decision processes (MDPs), where the states are composed out of the local states of components and each transition involves only a small subset of the components. Concurrency arises naturally in such systems. Our goal is to exploit concurrency when analyzing factored MDPs (FMDPs).
Akshay, S. +2 more
openaire +3 more sources
Magnetic Textiles: A Review of Materials, Fabrication, Properties, and Applications
Magnetic textiles (M‐textiles) are emerging as a programmable materials platform that merges magnetic matter with hierarchical textile structures. This article consolidates magnetic material classes, textile architectures, and fabrication and magnetization strategies, revealing structure–property–function relationships that govern magneto‐mechanical ...
Li Ke +3 more
wiley +1 more source
This work highlights the impact of incorporating graphene nanoflakes into precursor inks of MAPbBr3 for inkjet‐printed optoelectronic device applications. A substantial modification of the crystallization dynamics is reported despite miniscule concentrations.
Kenneth Lobo +12 more
wiley +1 more source
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov +3 more
wiley +1 more source
Optimal control of piecewise deterministic Markov processes.
This thesis describes a complete theory of optimal control of piecewise deterministic Markov processes under weak assumptions. The theory consists of a description of the processes, a nonsmooth stochastic maximum principle as a necessary optimality ...
Ye, Juan Juan.
core
This article highlights the development of robust and high‐performance flexible and stretchable biosensors that maintain long‐term functionality and optimal electrical conductivity under mechanical deformation, utilizing sustainable and cost‐effective manufacturing principles.
Mousa H. Aldosari, Ahyeon Koh
wiley +1 more source
Deterministic Dynamical Bounds on Moments of Nonstationary Stochastic Processes
In this contribution, we deal with the deterministic dominance of the probability moments of stochastic processes. More precisely, given a positive stochastic process, we propose to dominate its probability moment sequence by the trajectory of ...
Carrette, Pierre
core
Hard‐Magnetic Soft Millirobots in Underactuated Systems
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 +4 more
wiley +1 more source
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek +3 more
wiley +1 more source
An enhanced universal gripper combining rigid mechanics with self‐adaptable fingers is presented for industrial automation. The novel six‐bar linkage with integrated compliant pad eliminates mechanical interference while enabling passive shape adaptation.
Muhammad Usman Khalid +7 more
wiley +1 more source

