نتایج جستجو برای: rant avoidance

تعداد نتایج: 38751  

2010
Eliseo Ferrante Manuele Brambilla Mauro Birattari Marco Dorigo

In this paper, we present a novel method for performing collective transport in the presence of obstacles. Three robots are physically connected to an object to be transported from a start to a goal location. The task is particularly challenging because the robots have a heterogeneous perception of the environment. In fact, the goal and the obstacles can be perceived only by some of the robots....

احمدی ابهری, سید علی , عطایی, شیما , فتی, لادن,

Objectives: The current study was aimed to investigate rumination and avoidance in healthy individuals and those with depressive and social anxiety disorders. Method: Sixty patients (30 with depressive disorder, and 30 with social anxiety disorder), and 120 nonclinical participants answered research questionnaires including Beck Anxiety Inventory (BAI), Beck Depression Inventory-II (BDI-II), Ge...

2005
Ronald Baecker

Inspired in part by a seminal article by JCR Licklider on “man-computer symbiosis” [3, see also 4,5], a wonderful course entitled “Technological aids to human thought” taught by Anthony Oettinger that I took at Harvard early in 1966, and the vitality and excitement of MIT Project Mac, the AI Lab, and especially Lincoln Lab [2], I began research in interactive computing shortly after the Septemb...

Journal: :J. Exp. Theor. Artif. Intell. 2015
Mohammad Alshraideh Basel A. Mahafzah Saleh Al-Sharaeh Ziad M. Hawamdeh

A robotic intelligent wheelchair system based on obstacle avoidance and navigation functions Mohammed Alshraideh, Basel A. Mahafzah, Saleh Al-Sharaeh & Ziad M. Hawamdeh a Department of Computer Science, King Abdullah II School for Information Technology, The University of Jordan, Amman 11942, Jordan b Department of Special Surgery, Faculty of Medicine, The University of Jordan, Amman 11942, Jor...

2003
Todd M. Quasny Larry D. Pyeatt Jacquelyn L. Moore

The obstacle avoidance problem has been a well researched topic by many robotics researchers. We focus on one popular solution to this problem, the Curvature-Velocity Method(CVM). In Simmons’ original paper [5], differentially steered (DS) robots where not considered thoroughly. This paper presents a variation on CVM, specifically designed for DS robots. We show comparable results to that of Si...

Journal: :Frontiers in psychology 2016
Daniela Niesta Kayser Verena Graupmann James W. Fryer Dieter Frey

Two experiments examined how individuals respond to a restriction presented within an approach versus an avoidance frame. In Study 1, working on a problem-solving task, participants were initially free to choose their strategy, but for a second task were told to change their strategy. The message to change was embedded in either an approach or avoidance frame. When confronted with an avoidance ...

Journal: :Social cognitive and affective neuroscience 2015
Liat Levita Philippa Howsley Jeff Jordan Pat Johnston

The reinforcing effects of aversive outcomes on avoidance behaviour are well established. However, their influence on perceptual processes is less well explored, especially during the transition from adolescence to adulthood. Using electroencephalography, we examined whether learning to actively or passively avoid harm can modulate early visual responses in adolescents and adults. The task incl...

2002
S. Uppala Deepak R. Karuppiah M. Brewer S. Chandu Ravela Roderic A. Grupen

In this paper a reactive and concurrent control framework for viewpoint control is developed. The viewpoint control task is decomposed into three control objectives namely; obstacle avoidance, visibility and precision. A moving object is tracked in two panoramic sensors using color, and a scalar uncertainty metric of the object position estimate is introduced. Individual control objectives are ...

2011
Michael W. Floyd Babak Esfandiari

Learning by observation allows a software agent to learn an expert’s behaviour, by examining the actions the expert performs in response to inputs, without the expert having to explicitly program the agent. Most learning by observation approaches only make use of the current inputs and actions of the expert and ignore any past inputs or actions. This limits the agents to only being able to lear...

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