Results 71 to 80 of about 11,919,162 (297)

The Curious Robot as a Case-Study for Comparing Dialog Systems [PDF]

open access: yes, 2011
Peltason J, Wrede B. The Curious Robot as a Case-Study for Comparing Dialog Systems. AI Magazine. 2011;32(4):85-99.Modeling interaction with robots raises new and different challenges for dialog modeling than traditional dialog modeling with less ...
Peltason, Julia   +3 more
core  

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif   +17 more
wiley   +1 more source

Multi-Robot Systems. From Swarms to Intelligent Automata. Vol.III

open access: yes, 2022
The Third International Workshop on Multi-Robot Systems was held in March 2005 at the Naval Research Laboratory in Washington, D.C., USA. Bringing together leading researchers and government sponsors for three days of technical interchange on multi-robot
Parker, L.E.   +2 more
core   +1 more source

Multi-Focal Vision and Gaze Control Improve Navigation Performance

open access: yesInternational Journal of Advanced Robotic Systems, 2012
Multi-focal vision systems comprise cameras with various fields of view and measurement accuracies. This article presents a multi-focal approach to localization and mapping of mobile robots with active vision.
Kolja Kühnlenz, Martin Buss
doaj   +1 more source

Secure Key Establishment Mechanism for Smart Sensing System Based Robots Network

open access: yesSensors, 2020
The smart robot is playing an increasingly important role in the social economy, and multi-robot systems will be an important development in robotics. With smart sensing systems, the communications between sensors, actuators, and edge computing systems ...
Qi Xiao   +3 more
doaj   +1 more source

Motion Planning for Multi-Robot Assembly Systems [PDF]

open access: yesVolume 1: 25th Design Automation Conference, 1999
Abstract This paper addresses a multi-robot optimal assembly planning problem which in essence is an augmented Travelling Salesperson Problem (TSP+). In our TSP+, both the “salesperson” (a robot with a tool) as well as the “cities” (another robot with a workpiece) move.
M. Bonert, L. H. Shu, Beno Benhabib
openaire   +2 more sources

Global Rather Than Vertical‐Selective Saccadic Abnormalities in Progressive Supranuclear Palsy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To test whether vertical saccades are preferentially affected in Progressive Supranuclear Palsy (PSP). Methods PSP patients (n = 24) were compared to age‐matched controls (n = 94) and two degenerative groups (Alzheimer's disease, n = 20; Lewy body disease, n = 50).
Duy Duan Nguyen   +6 more
wiley   +1 more source

GenSwarm: Scalable Multi-Robot Code-Policy Generation and Deployment via Language Models

open access: yesnpj Robotics
The development of control policies for multi-robot systems traditionally follows a complex and labor-intensive process, often lacking the flexibility to adapt to dynamic tasks.
Wenkang Ji   +8 more
doaj   +1 more source

Integrating Patient‐Reported Quality Measures in Systemic Lupus Erythematosus: Development of the American College of Rheumatology Implementation Guide

open access: yesArthritis Care &Research, EarlyView.
Objective To support high‐quality, patient‐centered care for systemic lupus erythematosus (SLE), the American College of Rheumatology (ACR) developed evidence‐based measures incorporating clinical and patient‐reported outcome measures (PROMs). Using the Consolidated Framework for Implementation Research (CFIR), we conducted semistructured interviews ...
Catherine Nasrallah   +13 more
wiley   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +2 more
wiley   +1 more source

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