Sensing and interpreting the user’s activities and social behavior, monitoring the dynamics of the social context, and selecting and producing appropriate robot action are the core challenges involved in using robots as social tools in interaction scenarios. In social human-robot interaction, speech and gesture are the commonly considered interaction modalities. In human-human interactions, int...

BACKGROUND The psychometric properties of the Revised Restraint Scale (RRS) have been well established in western populations but not in Chinese adolescents. PURPOSE This study investigated the psychometric properties of RRS and its validity in different subgroups for Hong Kong Chinese adolescents. METHOD In 2007, 909 Hong Kong students aged 12 to 18 years (55.3% boys) completed a questionn...

Although evolutionary algorithms have been employed to automatically synthesize control and behavior programs for robots and even design the physical structures of the robots, it is impossible for evolution to anticipate the detailed structure of speci c environments that the robot might have to deal with. Robots must thus possess mechanisms to learn and adapt to the environments they encounter...

Tenbrink, Thora, University of Bremen & Andi Winterboer, University of Edinburgh Previous research on spatial projective terms such as left and front typically focuses on static (locative) usages. In these approaches it is often assumed that dynamic (directional) applications, i.e., those expressing motion into a direction specified by an expression such as to the left or forward, can be (more ...

Recently1 there has been a growing interest in human augmented mapping[1, 2]. That is: a mobile robot builds a low level spatial representation of the environment based on its sensor readings while a human provides labels for human concepts, such as rooms, which are then augmented or anchored to this representation or map [3]. Given such an augmented map the robot has the ability to communicate...

BACKGROUND Exposure measurement error in copollutant epidemiologic models has the potential to introduce bias in relative risk (RR) estimates. A simulation study was conducted using empirical data to quantify the impact of correlated measurement errors in time-series analyses of air pollution and health. METHODS ZIP-code level estimates of exposure for six pollutants (CO, NOx, EC, PM2.5, SO4,...

In this paper we propose a novel approach for intuitive and natural physical human–robot interaction in cooperative tasks. Through initial learning by demonstration, robot behavior naturally evolves into a cooperative task, where the human co-worker is allowed to modify both the spatial course of motion as well as the speed of execution at any stage. The main feature of the proposed adaptation ...

0.1016/j.dcan.201 hongqing Universi thor. : aleksdandar.rodi in.rs (I. Stevanovi r responsibility of Abstract The paper is addressed to prototyping of technology platform aimed to develop of ambientaware human-centric indoor service robot with attributes of emotional intelligence to enhance interaction with social environment. The robot consists of a wheel-based mobile platform with spinal (seg...

Remote sensing algorithms that use red and NIR bands for the estimation of chlorophyll-a concentration [Chl] can be more effective in inland and coastal waters than algorithms that use blue and green bands. We tested such two-band and three-band red-NIR algorithms using comprehensive synthetic data sets of reflectance spectra and inherent optical properties related to various water parameters a...