Results 211 to 220 of about 39,028,202 (279)

Multi-Camera Analysis of Simulated Porcine Recovery States Based on Three-Dimensional Pose Using Synthetic Data. [PDF]

J Imaging
Obukhov A, Teselkin D, Shiltsyn M, Dedov D, Nikitina M, Fedulova L, Chernukha I.   +6 more
europepmc   +1 more source

Universal Gripper for Industrial Manipulation With Enhanced Rigid Mechanics and Self‐Adaptable Fingers

Advanced Robotics Research, EarlyView.
An enhanced universal gripper combining rigid mechanics with self‐adaptable fingers is presented for industrial automation. The novel six‐bar linkage with integrated compliant pad eliminates mechanical interference while enabling passive shape adaptation.
Muhammad Usman Khalid, Nirmal Kumar Ravikumar, Mattia Frascio, Sumanth Nagalakunta, Alessandro Seitone, Benoît Lévesque, Alessandro Zanella, Matteo Zoppi   +7 more
wiley   +1 more source

Can video head impulse testing aid differential assessment of suspected vestibular migraine attacks? [PDF]

Front Neurol
Wang Y, Zhang Y, Zhang D.
europepmc   +1 more source

A Soft Robotic Fish With a Dielectric Elastomer Actuator Body and Negative Stiffness Spine

Advanced Robotics Research, EarlyView.
This work introduces a bio‐mimetic soft robotic fish driven by fiber‐reinforced dielectric elastomer actuators integrated as its body. By prestretching this active skin against a flexible spine, a negative stiffness system is created, enabling large‐amplitude bending.
Markus Koenigsdorff, Simon Holzer, Stefania Konstantinidi, Yoan Civet, Yves Perriard   +4 more
wiley   +1 more source

NeuroSift for Task-Aware Quality Assurance of Multimedia Data in Remote Parkinson Disease Assessment: Machine Learning Model Development and Validation Study. [PDF]

J Med Internet Res
Islam MS, Islam MS, Park S, Ma EX, Adnan T, Hoque E.   +5 more
europepmc   +1 more source

Robotic Control for Human–Robot Collaborative Assembly Based on Digital Human Model and Reinforcement Learning

Advanced Robotics Research, EarlyView.
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao, Hongzhou Ai, Wenjun Xu, Zude Zhou, Lihui Wang   +4 more
wiley   +1 more source

System Integration and Participant-Level Validation of a Gate-Based Contactless Multimodal System for Railway Pre-Duty Screening. [PDF]

Sensors (Basel)
Lee C, Yin T.
europepmc   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Vision-Language Models in Ultrasound Imaging: A Comprehensive Review. [PDF]

J Imaging
Tang Z, Zhang S, Wang H, Shao W, Kong W, Zhang D, Wan P.   +6 more
europepmc   +1 more source