Results 71 to 80 of about 853,347 (196)
Third Conference on Artificial Intelligence for Space Applications, part 2 [PDF]
Topics relative to the application of artificial intelligence to space operations are discussed. New technologies for space station automation, design data capture, computer vision, neural nets, automatic programming, and real time applications are ...
Denton, Judith S. +2 more
core +1 more source
Tactile-Driven Grasp Stability and Slip Prediction
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
Anatomy and Physiology of an Artificial Vision Matrix [PDF]
We present a detailed account of the processing that occurs within a biologically-inspired model for visual homing. The Corner Gradient Snapshot Model (CGSM) initially presented in [1] was inspired by the snapshot model [2] which provided an algorithmic explanation for the ability of honeybees to return to a place of interest after being displaced. The
Andrew Vardy, Franz Oppacher
openaire +1 more source
Retail Robot Navigation: A Shopper Behavior-Centric Approach to Path Planning
In the ever-evolving landscape of retail, understanding shopper behavior is pivotal for optimizing sales and effectively managing product availability and placement.
Alessandro Galdelli +3 more
doaj +1 more source
Learning Spatio Temporal Tactile Features with a ConvLSTM for the Direction Of Slip Detection
Robotic manipulators have to constantly deal with the complex task of detecting whether a grasp is stable or, in contrast, whether the grasped object is slipping. Recognising the type of slippage—translational, rotational—and its direction is
Brayan S. Zapata-Impata +2 more
doaj +1 more source
Towards a more natural and intelligent interface with embodied conversation agent [PDF]
Conversational agent also known as chatterbots are computer programs which are designed to converse like a human as much as their intelligent allows. In many ways, they are the embodiment of Turing's vision.
Depickere, A. +3 more
core +2 more sources
Visual Feature-Guided Diamond Convolutional Network for Finger Vein Recognition
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
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
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
Sensitivity to Hand Path Curvature during Reaching [PDF]
People optimize reaching to make straight and smooth movements. We performed experiments characterizing human sensitivity to hand path deviations from a straight reach. Vision of the arm was blocked.
Lillis, Kyle P., Scheidt, Robert A.
core +1 more source

