Results 211 to 220 of about 15,175 (257)

Near‐Infrared‐Driven Metal–Organic Frameworks‐Based Nanorobots for Controlled Photothermal‐Chemical Therapy Synergistic Induction of Cancer Cell Death

Advanced Robotics Research, EarlyView.
To achieve efficient cancer cell death, a bowl‐shaped PDA@UiO‐66@DOX nanorobot drug‐delivery nanoplatform was developed. Near‐infrared irradiation not only drives the nanorobot to exhibit self‐thermophoretic motion and elevates temperature but also triggers Doxorubicin (DOX) release via hyperthermia, enhancing cancer cells uptake of DOX and thereby ...
Tong Lin, Jie Yang, Yongcheng Li, Yuepeng Cai, Xiaosong Zhou, Ting Chen, Renfeng Dong   +6 more
wiley   +1 more source

PINN-DT: Optimizing Energy Consumption in Smart Building Using Hybrid Physics-Informed Neural Networks and Digital Twin Framework with Blockchain Security. [PDF]

Sensors (Basel)
Kazemi Naeini H, Shomali R, Pishahang A, Hasanzadeh H, Asadi S, Gholizadeh Lonbar A.   +5 more
europepmc   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

Correction: Adapting physics-informed neural networks to improve ODE optimization in mosquito population dynamics. [PDF]

PLoS One
Viet Cuong D, Lalić B, Petrić M, Thanh Binh N, Roantree M.   +4 more
europepmc   +1 more source

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

Advanced Robotics Research, EarlyView.
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, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source

Physics-informed neural networks for robust equivalent damping parameter inversion and fault diagnosis in gas-insulated switchgear vibration systems. [PDF]

Sci Rep
Li Y, Lv Y, Yan Y, Gao X, Jiang X, Liu Y.   +5 more
europepmc   +1 more source

Multimodal Locomotion in Insect‐Inspired Microrobots: A Review of Strategies for Aerial, Surface, Aquatic, and Interfacial Motion

Advanced Robotics Research, EarlyView.
This review identifies key design considerations for insect‐inspired microrobots capable of multimodal locomotion. To draw inspiration, biological and robotic strategies for moving in air, on water surfaces, and underwater are examined, along with approaches for crossing the air–water interface.
Mija Jovchevska, Kaushik Jayaram, Nicole Xu   +2 more
wiley   +1 more source

Adapting physics-informed neural networks to improve ODE optimization in mosquito population dynamics. [PDF]

PLoS One
Viet Cuong D, Lalić B, Petrić M, Thanh Binh N, Roantree M.   +4 more
europepmc   +1 more source

Degradable Magnetic Composites from Recycled NdFeB Magnets for Soft Actuation and Sensing

Advanced Robotics Research, EarlyView.
This work presents a degradable soft magnetic composite made from recycled NdFeB particles embedded in a gelatin‐based organogel. The material is processed into magnetic sensors and soft robotic components, which can later be dissolved in a green solvent to recover NdFeB magnetic particles.
Muhammad Bilal Khan, Lin Guo, Kilian Schäfer, Eduardo Sergio Oliveros‐Mata, Xiaotao Wang, Florian Hofmann, Matthias Lutzi, Mark Suppelt, Proloy Taran Das, Jan Schmidtpeter, Imants Dirba, Stephan Rinderknecht, Mario Kupnik, Denys Makarov, Oliver Gutfleisch   +14 more
wiley   +1 more source

Optimization of deficit irrigation system for drip-irrigated corn in northern Xinjiang using dynamic reconstruction and dual physics-informed neural networks to drive AquaCrop. [PDF]

Front Plant Sci
Zhang H, Zhao J, Hong M, Ma L.
europepmc   +1 more source