Results 121 to 130 of about 174,137,944 (233)

Mutual Adaptation and Influence: Review of Latent Dynamics Models in Human–Robot Interaction

Advanced Robotics Research, EarlyView.
Robots are becoming better teammates by learning hidden patterns in how people act. This review covers how state‐of‐the‐art approaches leverage these patterns to help robots not only react but also anticipate and guide cooperation. Here, we synthesize a unifying framework for these approaches, classify and review existing works, and highlight key ...
Mason O. Smith, Sunny Amatya, Seyed Yousef Soltanian, Jonathan Bush, Wenlong Zhang   +4 more
wiley   +1 more source

Toward Mechanical Intelligence in Robotics

Advanced Robotics Research, EarlyView.
Robots can use their physical bodies to perform functions usually assigned to electronic sensors and controllers. This perspective defines mechanical intelligence through three core operations: filtering inputs, routing mechanical signals, and switching between states.
Xinyi Yang, Xinyi Ding, Tianyu Wang, Daniel I. Goldman, Shucong Li, Bolei Deng   +5 more
wiley   +1 more source

DoD NSPS : the transition to pay for performance

, 2004
Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management, 2004.Includes bibliographical references (leaves 63-65).The 2004 National Defense Authorization Act (Public Law 10-136, November 24, 2003) gives the Department of Defense
Davies, Rebecca L. (Rebecca Leigh), 1960-
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Model Predictive Control for Magnetically Actuated Cellbots

Advanced Robotics Research, EarlyView.
Magnetically actuated cellbots, formed by embedding microrobots in living cells, are steered along precise paths using a model predictive controller enhanced with a Gaussian process disturbance estimator. The data‐efficient method calibrates each cellbot individually, cutting modeling error by roughly 60% and enabling accurate navigation through cell ...
Mehdi Kermanshah, Logan E. Beaver, Max Sokolich, Fatma Ceren Kirmizitas, Ahmad Ahmad, Roberto Tron, Ron Weiss, Sambeeta Das, Calin Belta   +8 more
wiley   +1 more source

A Precision Estimation Method for Volumetric Changes

, 2019
Earth surface changes are often computed by comparing the sequences of digital elevation models (DEMs) so called the DEM of difference (DoD) method.
Altan, Mehmet Orhan, Daniela Poli, Stylianidis, Efstratios, Hofer, Martin, Victor Sanchez Martin, Alejandro Garcia, Gruen, Armin W., Jimeno, Elisa, Garcia, Alejandro, Smagas, Konstantinos, Andreas Walli, Efstratios Stylianidis, Walli, Andreas, Sanchez Martin, Victor, Akça, Mehmet Devrim, Konstantinos Smagas, Elisa Jimeno, Martin Hofer, Devrim Akca, Orhan Altan, Armin Gruen, Altan, Orhan, Martin, Victor Sanchez, Akca, Devrim, Poli, Daniela, Gruen, Armin   +25 more
core   +1 more source

Machine Learning for Green Solvents: Assessment, Selection and Substitution

Advanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta, Janhavi Nistane, Abhishek Sose, Harikrishna Sahu, Rampi Ramprasad   +4 more
wiley   +1 more source

Photonic Time Crystals and Time‐Varying Electromagnetic Metamatter: A New Direction for Ultrafast Tunable Photonic and Microwave Materials and Devices

Advanced Science, EarlyView.
Photonic time crystals (PTCs) are systems in which electromagnetic parameters are modulated periodically in time, producing momentum bandgaps via temporal scattering rather than spatial Bragg processes. This review examines the theoretical frameworks, modeling, and computational tools for time‐varying media, and summarizes experimental demonstrations ...
Ranjan Kumar Patel, Shriram Ramanathan, Ronald P. Jenkins, Michael J. Carter   +3 more
wiley   +1 more source

Magnetoelectric Nanoparticle‐Based Wireless Brain–Computer Interface: Underlying Physics and Projected Technology Pathway

Advanced Science, EarlyView.
Magnetoelectric nanoparticles (MENPs) enable fully wireless, minutely invasive neuromodulation, and potentially neural recording, by converting magnetic into electric and, conversely, electric into magnetic fields, respectively, at high spatiotemporal resolution.
Elric Zhang, Max Shotbolt, Mostafa Abdel‐Mottaleb, Shawnus Chen, Victoria Andre, Jieyuan Tian, Jonathan Shulgach, Max Murphy, Brian Noga, Ping Liang, Darcy Griffin, Douglas Weber, Marta Pardo, Salvador Pane, Sakhrat Khizroev   +14 more
wiley   +1 more source

Making Sweat Measurable: Induction, Sampling, and Refreshment in Wearable Biofluid Sensing

Advanced Science, EarlyView.
Wearable sweat sensing relies not only on chemical detection but also on controlled biofluid management. This Review integrates sweat physiology, induction strategies, and microfluidic sampling architectures, demonstrating how flux, transport, and refreshment shape measurement reliability.
Soyoung Shin, Wei Gao
wiley   +1 more source

DoD Directive 4715.21: Climate Change Adaptation and Resilience [PDF]

, 2016
In accordance with the direction in Executive Order 13653, this issuance establishes policy and assigns responsibilities to provide the DoD with the resources necessary to assess and manage risks associated with the impacts of climate change.
United States. Office of the Under Secretary of Defense for Acquisition, Technology, and Logistics,
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