Results 131 to 140 of about 16,597 (241)
Hybrid Imitation Learning Framework for Robotic Manipulation Tasks. [PDF]
Sensors (Basel), 2021 Jung E, Kim I.
europepmc +1 more source
Meniscus Pixel Printing for Contact‐Lens Vision Sensing and Robotic Control
Advanced Functional Materials, EarlyView.A visual‐sensing contact lens is enabled by meniscus pixel printing (MPP), which rapidly patterns a 200 µm perovskite photodetector pixel in 1 s without masks, vacuum processing, or bulky equipment. A deep‐learning‐based super‐resolution reconstructs sparse on‐lens signals into 80 × 80 high‐resolution visual information, while AI‐driven eye‐tracking ...
Byung‐Hoon Gong +7 more
wiley +1 more source
Advanced Functional Materials, EarlyView.We present a fully automated Bayesian optimization (BO) protocol for the parameterization of nonbonded interactions in coarse‐grain CG force fields (BACH). Using experimental thermophysical data, we apply the protocol to a broad range of liquids, spanning linear, branched, and unsaturated hydrocarbons, esters, triglycerides, and water.
Janak Prabhu +3 more
wiley +1 more source
Improving Autonomous Robotic Navigation Using Imitation Learning. [PDF]
Front Robot AI, 2021 Cèsar-Tondreau B +4 more
europepmc +1 more source
Engineering Strategies for Stable and Long‐Life Alkaline Zinc‐Based Flow Batteries
Advanced Functional Materials, EarlyView.Alkaline zinc‐based flow batteries face persistent challenges from unstable zinc deposition, including dendrite growth, passivation, corrosion, and hydrogen evolution, which severely limit cycling stability. Current research addresses these issues through coordinated electrode structuring, electrolyte regulation, and membrane design to control zinc ...
Yuran Bai +6 more
wiley +1 more source
Single‐ and Dual‐Atom Configurations in Atomically Dispersed Catalysts for Lithium–Sulfur Batteries
Advanced Functional Materials, EarlyView.Single‐atom and dual‐atom‐based atomically dispersed catalysts (ADCs) effectively address the shuttle effect and sluggish redox kinetics in Li–S batteries. With nearly 100% atomic utilization and tunable coordination environments, ADCs enhance LiPSs adsorption, lower conversion barriers, and accelerate sulfur redox reactions.
Haoyang Xu +4 more
wiley +1 more source
Multi‐Scale Interface Engineering of MXenes for Multifunctional Sensory Systems
Advanced Functional Materials, EarlyView.MXenes, as two‐dimensional transition metal carbides and nitrides, demonstrate remarkable capabilities for multifunctional sensing applications. This review systematically examines multi‐scale interface engineering approaches that enhance sensing performance, enable diverse detection functionalities, and improve system‐level compatibility in MXene ...
Jiaying Liao, Sin‐Yi Pang, Jianhua Hao
wiley +1 more source
Learning for a Robot: Deep Reinforcement Learning, Imitation Learning, Transfer Learning. [PDF]
Sensors (Basel), 2021 Hua J, Zeng L, Li G, Ju Z.
europepmc +1 more source
RILe: Reinforced Imitation Learning
Acquiring complex behaviors is essential for artificially intelligent agents, yet learning these behaviors in high-dimensional settings poses a significant challenge due to the vast search space. Traditional reinforcement learning (RL) requires extensive manual effort for reward function engineering. Inverse reinforcement learning (IRL) uncovers reward
Albaba, Mert +5 more
openaire +2 more sources
Advanced Functional Materials, EarlyView.We report phosphine‐oxide interlayers for wide‐bandgap perovskite solar cells, in which tuned P = O Lewis basicity enables selective passivation of buried NiOx/perovskite interfaces and introduces interfacial dipoles that strengthen the built‐in field.
JeeHee Hong +6 more
wiley +1 more source