Results 111 to 120 of about 23,058 (312)
DronesThis study presents a cooperative system where drones and ground robots share information to efficiently complete tasks in environments that challenge the capabilities of a single robot.
Hiroaki Kobori, Kosuke Sekiyama
doaj +1 more source
Active Action Recognition in Humans and Robots [PDF]
Active action recognition is the selection of the best viewpoints for more accurate and faster action recognition. The studies in this thesis aimed to examine whether and how humans and robots can process efficient active action recognition ...
Calafiore, Carmelo
core
Designing intelligent robots for human-robot teaming in urban search & rescue
, 2022 8 S.The paper describes ongoing integrated research on designing intelligent robots that can assist humans in making a situation assessment during Urban Search & Rescue (USAR) missions.
Pirri, Fiora +6 more
core
Learning action effects in partially observable domains [PDF]
, 2009 We investigate the problem of learning action effects in partially observable STRIPS planning domains. Our approach is based on a voted kernel perceptron learning model, where action and state information is encoded in a compact vector representation as ...
Petrick, Ron +2 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Stereoelectroencephalography‐guided radiofrequency thermocoagulation (SEEG‐RFTC) has emerged as a safe and effective minimally invasive treatment for children with drug‐resistant focal epilepsy. Although evidence from real‐world studies remains limited, numerous pediatric cases have demonstrated promising outcomes. This retrospective
Weitao Chen +7 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Considerable efforts have been dedicated to developing effective treatments for post‐stroke executive impairment (PSEI), among which repetitive transcranial magnetic stimulation (rTMS) has shown great potential. This study aimed to investigate the therapeutic effects of high‐frequency rTMS on working memory (WM) and response ...
Mengting Lao +6 more
wiley +1 more source
An Improved Reinforcement Learning Algorithm for Cooperative Behaviors of Mobile Robots
Journal of Control Science and Engineering, 2014 Reinforcement learning algorithm for multirobot will become very slow when the number of robots is increasing resulting in an exponential increase of state space. A sequential Q-learning based on knowledge sharing is presented.
Yong Song +4 more
doaj +1 more source
Predictive Ability of Plasma p‐tau217 for β‐Amyloid Status: A Prospective Multicenter Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Plasma tau phosphorylated at threonine 217 (p‐tau217) measured with fully automated platforms has shown high accuracy for Alzheimer's disease (AD) diagnosis, but real‐world multicenter data remain limited. We aimed to validate the diagnostic performance of p‐tau217 for identifying AD pathology in a real‐world multicenter cohort ...
Miquel Massons +33 more
wiley +1 more source
Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani +10 more
wiley +1 more source
Do as I Demand, Not as I Say: A Dataset for Developing a Reflective Life-Support Robot
IEEE AccessInteractive robots that cooperate with humans must take appropriate actions in response to their requests. Unfortunately, such requests often have information gaps with their actual demands. However, robots are still expected to reason and act on what is
Shohei Tanaka +5 more
doaj +1 more source