Results 241 to 250 of about 619,205 (326)
Multimodal Locomotion of Soft Robots
This review comprehensively surveys recent advances in multimodal locomotion within soft robotics. Typical locomotion modes are summarized and categorized. Furthermore, the underlying mechanisms enabling multimodal locomotion are discussed and classified into three primary categories: active control‐based, reconfiguration‐based, and environment ...
Zihao Yuan +4 more
wiley +1 more source
Female desert locusts dig underground to lay their eggs. They displace soil, rather than removing it, to create a tunnel. We analyze burrowing dynamics and 3D kinematics and design a locust‐inspired hybrid soft–stiff robot that reproduces this mechanism. The results show the natural strategy minimizes energy, whereas alternative patterns raise costs up
Shai Sonnenreich +2 more
wiley +1 more source
Tomato secondary metabolites as natural regulators of <i>Bemisia tabaci</i> behavior and performance: current applicability and prospects. [PDF]
Maldonado Machado da Cruz VH +5 more
europepmc +1 more source
Stimuli‐Responsive Electrofluidic Nervous System for Autonomous Soft Robots
A stimuli‐responsive electrofluidic nervous system (SENS) is introduced to achieve sensing, signal processing, and decision‐making using soft materials. Comprising fluidic switches and electroactive actuators, SENS enables multimodal stimuli‐responsiveness and autonomous control in soft robots.
Dip Kumar Saha +3 more
wiley +1 more source
Positive feedback effect of rhizosphere Bacillus on the growth and defense of Ageratina adenophora. [PDF]
Du E +6 more
europepmc +1 more source
Worm‐Inspired Soft Robots With Modular Outfit‐Changing for Intelligent Multienvironment Adaptation
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 +6 more
wiley +1 more source
Deep Learning Methods for Assessing Time‐Variant Nonlinear Signatures in Clutter Echoes
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 +2 more
wiley +1 more source
Evaluation of Trap Systems for Monitoring of Odontothrips loti and Frankliniella occidentalis: A Pilot Field Trial. [PDF]
Luo Y +5 more
europepmc +1 more source
Abstract Premise Species of Deuterocohnia (17 spp.) show extraordinary variation in elevation (0–3900 m a.s.l.) and growth forms, and many have narrow geographic distributions in the west‐central Andes and the Peru‐Chile coast. Previous research using few plastid and nuclear loci failed to produce well‐resolved or supported phylogenies.
Bing Li +5 more
wiley +1 more source

