Design and predictive modeling of a veterinary drug detection sensor in paddy field water based on artificial neural networks. [PDF]
Huang J +4 more
europepmc +1 more source
Hard‐Magnetic Soft Millirobots in Underactuated Systems
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 +4 more
wiley +1 more source
Digital and plasmonic artificial neural networks-Improved nonlinear signal processing at high speed and low complexity. [PDF]
Blatter T +11 more
europepmc +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
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 +4 more
wiley +1 more source
Dynamic modeling of PISA achievement scores: comparative analysis of artificial neural networks and differential equation systems approaches. [PDF]
Daşbaşi B.
europepmc +1 more source
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
Modeling the Electrochemical Synthesis of Zinc Oxide Nanoparticles Using Artificial Neural Networks. [PDF]
Francik S +5 more
europepmc +1 more source
3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu +5 more
wiley +1 more source
Memristor-Based Artificial Neural Networks for Hardware Neuromorphic Computing. [PDF]
Jin B, Wang Z, Wang T, Meng J.
europepmc +1 more source
Toward Wireless Implantable Robotic Systems Driven by Magnetic Field for Personalized Therapy
Robotic materials are playing an increasingly vital role in enabling sensing and actuation at small scales. This perspective highlights recent advances in magnetic materials and magnetically actuated devices for wireless sensing, actuation, and energy harvesting toward implantable robotic systems for closed‐loop therapy.
Yusheng Wang, Ruijian Ge, Xiaoguang Dong
wiley +1 more source

