Results 191 to 200 of about 46,983 (264)

Predictive Factors of Augmented Reality-Based Clinical Task Performance Among Novice Users: Cross-Sectional Quantitative Study. [PDF]

open access: yesJMIR XR Spat Comput
Vellore AJ   +12 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

Strategic Design of Soft Actuators in Translational Medical Robotics for Human‐Centered Healthcare

open access: yesAdvanced Robotics Research, EarlyView.
Soft robotics enables biocompatible, compliant medical devices, but clinical translation requires design‐driven engineering beyond materials. This perspective reviews implantable, surgical, and wearable systems by actuation mechanism, highlighting how optimized architectures and integration improve mechanical interfacing, adaptability, and durability ...
Ho Jun Jin   +3 more
wiley   +1 more source

Augmented reality in prosthodontics

open access: yesThe Journal of Indian Prosthodontic Society, 2019
openaire   +3 more sources

Real‐Time Holographic Feedback via Mixed Reality Sensorized Laryngoscope Training System Enhances Pediatric Intubation Training

open access: yesAdvanced Robotics Research, EarlyView.
We proposed a Mixed Reality Sensorized Laryngoscope Training System to provide real‐time holographic torque feedback during pediatric endotracheal intubation simulation. Visualization formats are evaluated to reduce tracking error and visual demand.
Jiaqi Li   +5 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

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