Results 111 to 120 of about 2,975,434 (307)

Visual Feature-Guided Diamond Convolutional Network for Finger Vein Recognition

open access: yesSensors
Finger vein (FV) biometrics have garnered considerable attention due to their inherent non-contact nature and high security, exhibiting tremendous potential in identity authentication and beyond.
Qiong Yao, Dan Song, Xiang Xu, Kun Zou
doaj   +1 more source

Tactile-Driven Grasp Stability and Slip Prediction

open access: yesRobotics, 2019
One of the challenges in robotic grasping tasks is the problem of detecting whether a grip is stable or not. The lack of stability during a manipulation operation usually causes the slippage of the grasped object due to poor contact forces.
Brayan S. Zapata-Impata   +2 more
doaj   +1 more source

Artificial Vision for Humans

open access: yes, 2020
De acordo com a Organização Mundial da Saúde e A Agência Internacional para a Prevenção da Cegueira 253 milhões de pessoas são cegas ou têm problemas de visão (2015). 117 milhões têm uma deficiência visual moderada ou grave à distância e 36 milhões são totalmente cegas.
openaire   +2 more sources

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

open access: yesAdvanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat   +4 more
wiley   +1 more source

HGREncoder: Enhancing Real-Time Hand Gesture Recognition with Transformer Encoder—A Comparative Study

open access: yesMathematical and Computational Applications
In the field of Hand Gesture Recognition (HGR), Electromyography (EMG) is used to detect the electrical impulses that muscles emit when a movement is generated. Currently, there are several HGR models that use EMG to predict hand gestures.
Luis Gabriel Macías   +4 more
doaj   +1 more source

Soft Actuators Integrated with Control and Power Units: Approaching Wireless Autonomous Soft Robots

open access: yesAdvanced Robotics Research, EarlyView.
Soft robots exhibit significant development potential in various applications. However, there are still key technical challenges regarding material improvement, structure design and components integration. This review focuses on the development and challenge of soft actuators, power components, and control components in untethered intelligent soft ...
Renwu Shi, Feifei Pan, Xiaobin Ji
wiley   +1 more source

TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications

open access: yesAdvanced Robotics Research, EarlyView.
TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince   +3 more
wiley   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

open access: yesAdvanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Echinoderm‐Inspired Autonomy for Soft‐Legged Robots

open access: yesAdvanced Robotics Research, EarlyView.
Inspired by echinoderms, a modular soft robot achieves autonomous phototaxis without a central controller or explicit communication. Each limb independently adapts its actuation timing through local sensing and short‐term memory. Coordination emerges purely from physical interactions, demonstrating resilience to changes in morphology, environment, and ...
Harmannus A. H. Schomaker   +2 more
wiley   +1 more source

ICADnet: Prior Knowledge-Based Framework for Intracranial Aneurysm Detection on 3D TOF-MRA Using Coupled CNN

open access: yesIEEE Access
A ruptured aneurysm is the leading cause of non-traumatic subarachnoid hemorrhage (SAH), with high mortality rates. Computer-aided detection (CAD) systems assist clinicians in aneurysm analysis, but their effectiveness depends on feature extraction ...
Keerthi A. S. Pillai   +2 more
doaj   +1 more source

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