Results 161 to 170 of about 38,348 (250)

A comparative study of vision-language models for food ingredient recognition and nutrient estimation. [PDF]

Curr Res Food Sci
Wang S, Sheng G, Yan H, Min W, Jiang S.
europepmc   +1 more source

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

Artificial intelligence in urology training Enhancing annotation, feedback, and evaluation in robotic, laparoscopic, and endoscopic surgery. [PDF]

Can Urol Assoc J
Han J, He LY, Parmar A, Brako K, Matsumoto ED.   +4 more
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

Decoding visual object recognition from EEG signals. [PDF]

PLoS One
Kang Y, Dousty M, Khodami F, Sejdić E.
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

Monitoring horse behaviour with deep learning models. [PDF]

Vet Q
Giannone C, Maccario C, Dalla Costa E, Atallah E, Bovo M.   +4 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

User Needs and Preferences for Multimodal Interaction in Social Robots for Later-Life Support: An Exploratory Survey and Conceptual Five-Layer Architecture. [PDF]

J Intell
Zhang Y, Liu Y.
europepmc   +1 more source