Results 151 to 160 of about 4,379 (226)

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

open access: yesAdvanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

Integrating art therapy and technology in neurorehabilitation: a scoping review. [PDF]

open access: yesFront Neurol
Albani-Rocchetti M   +9 more
europepmc   +1 more source

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

open access: yesAdvanced 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   +4 more
wiley   +1 more source

Magnetic Micro‐ and Nanorobots for Precision Thrombolysis: Design Strategies and Translational Challenges

open access: yesAdvanced Robotics Research, EarlyView.
Micro‐ and nanorobots for targeted thrombolysis. This perspective elaborates on the clinical indication of blood clot disorders and current limitations for treatment. As a novel, alternative solution, micro‐ and nanorobots can be used to treat and break down thrombi.
Joshua M. Mesfin   +3 more
wiley   +1 more source

FiN‐Kiri: Fabric‐Based Inflatable Kirigami Actuator for Multimodal Soft Robots

open access: yesAdvanced Robotics Research, EarlyView.
This study introduces a type of inflatable fabric‐based kirigami actuator capable of performing bending motion. The actuator is utilized as soft grippers, a crawling robot and a swimming robot. The crawling robot demonstrated extraordinary motion capabilities, such as moving forward, turning and navigating a narrow tunnel.
Yang Yu   +12 more
wiley   +1 more source

Multi‐Site Transfer Classification of Major Depressive Disorder: An fMRI Study in 3335 Subjects

open access: yesAdvanced Science, EarlyView.
The study proposes graph convolution network with sparse pooling to learn the hierarchical features of brain graph for MDD classification. Experiment is done on multi‐site fMRI samples (3335 subjects, the largest functional dataset of MDD to date) and transfer learning is applied, achieving an average accuracy of 70.14%.
Jianpo Su   +14 more
wiley   +1 more source

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