Results 251 to 260 of about 18,341 (302)

Strong‐Magnetic Flexible Composites for Magnetically Responsive Soft Robots

Advanced Robotics Research, EarlyView.
This perspective provides an overview of the performance mechanisms, preparation methods, and applications of strong magnetic flexible composite materials in soft actuators (such as gripping, movement, and sensing), and further explores current opportunities and challenges.
Wenwen Li, Shuai Liu, Xinyi Wang, Xinglong Gong, Shouhu Xuan   +4 more
wiley   +1 more source

RVINN: a flexible modeling for inferring dynamic transcriptional and post-transcriptional regulation using physics-informed neural networks. [PDF]

Bioinformatics
Muto O, Guo Z, Yamaguchi R.
europepmc   +1 more source

Molecular Appendix Adjusted Architectural Propagations of Red‐Light Controlled Macroscopic Photoactuating Performances

Advanced Robotics Research, EarlyView.
Amphiphilic chloroazobenzenes, bearing different amino acids as end groups alanine, phenylalanine, and valine, exhibit excellent photoisomerizations. Varying structures of three amino acid groups participate in supramolecular formations and therefore photoinduced morphological transformations via adjusting intermolecular interactions. These interaction
Shuangshuang Meng, Ming‐Hin Chau, Takashi Kajitani, Franco King‐Chi Leung   +3 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

Hard‐Magnetic Soft Millirobots in Underactuated Systems

Advanced Robotics Research, EarlyView.
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, Zixuan Zhang, Bingyan Li, Junkai Wang, Hongcheng Gu   +4 more
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

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 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

In Situ Photopolymerization of Smectic B Liquid‐Crystalline Electrolytes from Mesogenic Phosphate–Diacrylate/Ionic Liquid Complexes for High‐Performance Soft Ionic Actuators

Advanced Robotics Research, EarlyView.
A flexible liquid‐crystalline electrolyte membrane via in situ photopolymerization of a phosphate‐functionalized mesogen, ionic liquid, and diacrylate monomer is developed. The resulting smectic B (SmB)‐phase structure enables 2D ion transport with high conductivity (10−4 S cm−1).
Chengyang Liu, Masafumi Yoshio
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