Results 181 to 190 of about 5,721,941 (348)
Seq2Seq Imitation Learning for Tactile Feedback-based Manipulation [PDF]
Wenyan Yang +4 more
openalex +1 more source
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Hybrid Imitation Learning Framework for Robotic Manipulation Tasks. [PDF]
Jung E, Kim I.
europepmc +1 more source
Data-Driven Simulation of Ride-Hailing Services Using Imitation and Reinforcement Learning [PDF]
Haritha Jayasinghe +3 more
openalex +1 more source
Inspired by octopuses, actuating legs based on soft materials are fabricated with programmed chiroptical properties and mechanical behaviors to achieve dynamic color modulation and reversible shape morphing, and these legs are developed into a modular OCTOID system.
Seung Hui Han +8 more
wiley +1 more source
Intermixing‐Driven Growth of Highly Oriented Indium Phosphide on Black Phosphorus
This study demonstrates controlled intermixing and compound formation at the In/black phosphorus (BP) interface, leading to highly oriented InP formation. Comprehensive structural and electrical analyses reveal tunable bandgap behavior governed by competing BP thinning and charge‐transfer effects, underscoring the critical role of interfacial compound ...
Tae Keun Yun +6 more
wiley +1 more source
Improving Autonomous Robotic Navigation Using Imitation Learning. [PDF]
Cèsar-Tondreau B +4 more
europepmc +1 more source
Electron–Matter Interactions During Electron Beam Nanopatterning
This article reviews the electron–matter interactions important to nanopatterning with electron beam lithography (EBL). Electron–matter interactions, including secondary electron generation routes, polymer radiolysis, and electron beam induced charging, are discussed.
Camila Faccini de Lima +2 more
wiley +1 more source
This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak +14 more
wiley +1 more source

