Results 221 to 230 of about 136,406 (308)

Context Awareness and Human–Robot Interaction Optimization for Museum Intelligent Guide Robot

Advanced Intelligent Systems, EarlyView.
This study presents a context‐aware human–robot interaction framework designed for intelligent museum guide robots. The system features a three‐layer architecture—perception, understanding, and behavior execution—that enables adaptive and meaningful interactions with museum visitors.
Anna Zou, Yue Meng, Shijing Tong
wiley   +1 more source

Foraging as an ethological framework for neuroscience.

Trends Neurosci
Grima LL, Haberkern H, Mohanta R, Morimoto MM, Rajagopalan AE, Scholey EV.   +5 more
europepmc   +1 more source

Neural investment patterns reflect task specialization in the leaf-cutting ant <i>Acromyrmex subterraneus</i>. [PDF]

iScience
Valadares L, Rödel HG, d'Ettorre P, Sandoz JC.   +3 more
europepmc   +1 more source

Context‐Aware Semiautonomous Control for Upper‐Limb Prostheses

Advanced Intelligent Systems, EarlyView.
A semiautonomous prosthetic control strategy integrates electromyographic‐based intention with computer vision‐driven grasp adaptation and wrist orientation. Comparative experiments with functional tasks evaluate performance, usability, and cognitive workload.
Gianmarco Cirelli, Enrica Stefanelli, Roberto Billardello, Christian Tamantini, Silvia Leonelli, Loredana Zollo, Luigi Pietro Cordella, Francesca Cordella   +7 more
wiley   +1 more source

Photic Niche Explains Avian Behavioral Responses to Solar Eclipses. [PDF]

Ecol Evol
Gilbert NA, Pease BS, Severino M, Winter H'.   +3 more
europepmc   +1 more source

Worm‐Inspired Soft Robots With Modular Outfit‐Changing for Intelligent Multienvironment Adaptation

Advanced Intelligent Systems, EarlyView.
This study proposes a worm‐inspired soft robot capable of locomotion across multiple environments through a modular “outfit‐changing” strategy. The robot integrates pneumatically actuated peristaltic segments with interchangeable external modules, enabling efficient motion on ground surfaces, within pipelines, through granular media, and underwater ...
Xiaomin Liu, Heng Wei, Zhengxin Guo, Zheng Liu, Yi Jin, Yunwei Zhao, Changyong Chase Cao   +6 more
wiley   +1 more source

Enteric nervous system in exercise physiology: a microbiota-neural interface. [PDF]

NPJ Metab Health Dis
Chen HL, Huang JT, Guo JJ, Wang LS.
europepmc   +1 more source

Biodegradable and Bioinspired UV Light Recognition via Sustainable Synaptic Transistors for Artificial Intelligence Vision Systems

Advanced Intelligent Systems, EarlyView.
We report a biodegradable electrolyte‐gated synaptic phototransistor that combines low‐power UV sensing with memory functionality, offering a sustainable platform for AI vision systems and health‐monitoring technologies. Presented here is a biodegradable, bioinspired synaptic phototransistor (SPT) based on an electrolyte‐gated field‐effect transistor ...
Theodoros Serghiou, Rogério Morais, Douglas Henrique Vieira, Neri Alves, Roghaieh Parvizi, Jeff Kettle   +5 more
wiley   +1 more source

Storm-Petrels Aggregate on the Open Sea to Feast on Opportune Blubber. [PDF]

Ecol Evol
Dubiner S.
europepmc   +1 more source

Deep Learning Methods for Assessing Time‐Variant Nonlinear Signatures in Clutter Echoes

Advanced Intelligent Systems, EarlyView.
Motion classification from biosonar echoes in clutter presents a fundamental challenge: extracting structured information from stochastic interference. Deep learning successfully discriminates object speed and direction from bat‐inspired signals, achieving 97% accuracy with frequency‐modulated calls but only 48% with constant‐frequency tones. This work
Ibrahim Eshera, Gaurav Duggal, Rolf Müller   +2 more
wiley   +1 more source