Results 201 to 210 of about 72,571 (307)

Hybrid Continuum Robot Designs and Architectures for Healthcare Applications

open access: yesAdvanced Robotics Research, EarlyView.
Hybrid continuum robots represent an emerging class of flexible manipulators that blend materials, structures, and actuation concepts from the established fields of soft and continuum robotics. This review introduces an accessible framework to distinguish key hybridization approaches, surveys current designs aimed at complex clinical applications, and ...
Burak Ozdemir   +4 more
wiley   +1 more source

Application of machine learning techniques to predict the compressive strength of steel fiber reinforced concrete. [PDF]

open access: yesSci Rep
Al-Shamasneh AR   +6 more
europepmc   +1 more source

Functional Fibers in Soft Robotics: Advances in Material, Structural, and Systemic Tactics

open access: yesAdvanced Robotics Research, EarlyView.
Fiber‐form robotic systems offer a scalable pathway toward embodied intelligence in soft robotics. This review surveys functional fibers as material, structural, and systemic elements, highlighting advances in responsive materials, architectural programing, and fabrication strategies.
Joonhee Won   +5 more
wiley   +1 more source

Advances in Electroactive Liquid Crystal Elastomers for Intelligent Robotics and Electronics

open access: yesAdvanced Robotics Research, EarlyView.
Electroactive liquid crystal elastomers (eLCEs) integrate molecular anisotropy with electrical functionality to enable programmable actuation and reconfigurable electronics. This review classifies eLCEs into robotic actuators and adaptive electronics, summarizes key actuation mechanisms, and highlights fabrication strategies that bridge materials to ...
Kavita Ramesh Rathod   +14 more
wiley   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

open access: yesAdvanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder   +3 more
wiley   +1 more source

Chromosomal Instability Drives Glioblastoma Heterogeneity and Therapeutic Opportunities

open access: yesAdvanced Science, EarlyView.
ABSTRACT Glioblastoma, the most aggressive and lethal form of brain cancer, is defined by profound genomic instability, with Chromosomal Instability (CIN) playing a central role in driving tumor progression, therapy resistance, and poor prognosis. CIN is characterized by numerical and structural alterations, is driven by mechanisms such as mitotic ...
Amarnath Pal   +3 more
wiley   +1 more source

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