Results 91 to 100 of about 1,729,244 (310)
Cognitive Behavioral Therapy for Youth with Childhood‐Onset Lupus: A Randomized Clinical Trial
Objective Our objective was to determine the feasibility and acceptability of the Treatment and Education Approach for Childhood‐onset Lupus (TEACH), a six‐session cognitive behavioral intervention addressing depressive, fatigue, and pain symptoms, delivered remotely to individual youth with lupus by a trained interventionist.
Natoshia R. Cunningham +29 more
wiley +1 more source
Analyzing human-swarm interactions using control Lyapunov functions and optimal control
A number of different interaction modalities have been proposed for human engagement with networked systems. In this paper, we establish formal guarantees for whether or not a given human-swarm interaction (HSI) strategy is appropriate for achieving ...
Jean-Pierre de la Croix +1 more
doaj +1 more source
This paper presents a human-robot trust integrated task allocation and motion planning framework for multi-robot systems (MRS) in performing a set of tasks concurrently.
Liao, Zhanrui, Wang, Yue, Zheng, Huanfei
core +1 more source
Objective We developed a novel EHR sidecar application to visualize key rheumatoid arthritis (RA) outcomes, including disease activity, physical function, and pain, via a patient‐facing graphical interface designed for use during outpatient visits (“RA PRO dashboard”).
Gabriela Schmajuk +16 more
wiley +1 more source
This paper addresses the crucial challenge of maintaining the directed graph topology in multi-robot systems, particularly when operating under limited field-of-view constraints and with a lack of communication among robots. Traditional methods for multi-
Filippo Bertoncelli +4 more
doaj +1 more source
Consensus in networked multi-robot systems via local state feedback robust control
In the article, the consensus problem is considered for networked multi-robot systems, in which the dynamical equation of all robots is non-holonomic and nonlinear systems.
Shijie Zhang, Yi Cao
doaj +1 more source
Learning in multi-robot systems
This paper discusses why traditional reinforcement learning methods often result in poor performance in dynamic, situated multiagent domains characterized by multiple goals, noisy perception and action, and inconsistent reinforcement. We propose a methodology for designing the representation and the forcement functions that take advantage of implicit ...
openaire +2 more sources
Mesoporous bioactive glass nanoparticles (MBGNs) are investigated for bone regeneration given their remarkable structural and functional properties. MBGNs are functionalized with Mn and Cu and incorporated with quercetin, a natural flavonoid exhibiting antioxidant, anti‐inflammatory, and antimicrobial properties.
Giovanni Lo Bello +5 more
wiley +1 more source
A Novel Simple Two-Robot Precise Self-Localization Method
This paper presents a novel two-robot collaboration method for precise 2D self-localization using relatively simple sensors. The main advantage of this method lies in its ability to precisely measure the orientations of the robots, therefore reducing ...
Dana Erez, Shai Arogeti, David Zarrouk
doaj +1 more source
Coordinated Control of Multi-Robot Systems: A Survey
Recently, significant gains have been made in our understanding of multi-robot systems, and such systems have been deployed in domains as diverse as precision agriculture, flexible manufacturing, environmental monitoring, search-and-rescue operations ...
J. Cortés, M. Egerstedt
semanticscholar +1 more source

