7   Artículos

 
en línea
Krishna Kodur and Maria Kyrarini    
Intelligent multi-purpose robotic assistants have the potential to assist nurses with a variety of non-critical tasks, such as object fetching, disinfecting areas, or supporting patient care. This paper focuses on enabling a multi-purpose robot to guide ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Dong Zhang, Wenhang Li, Jianhua Gong, Lin Huang, Guoyong Zhang, Shen Shen, Jiantao Liu and Haonan Ma    
At present, a common drawback of crowd simulation models is that they are mainly simulated in (abstract) 2D environments, which limits the simulation of crowd behaviors observed in real 3D environments. Therefore, we propose a deep reinforcement learning... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Abdullah Alamri    
Indoor navigation has become more important these days due to the current situation worldwide in the aftermath of the outbreak of the COVID-19 pandemic, posing an unparalleled threat amounting to a humanitarian crisis on a global scale. Indoor navigation... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Marit Hagens and Serge Thill    
Perfect information about an environment allows a robot to plan its actions optimally, but often requires significant investments into sensors and possibly infrastructure. In applications relevant to human?robot interaction, the environment is by definit... ver más
Revista: Information    Formato: Electrónico

 
en línea
Huibo Bi    
Regarding mobility, health conditions and personal preferences, evacuees can be categorized into different classes in realistic environments. Previous emergency navigation algorithms that direct evacuees with a single decision rule cannot fulfil civilian... ver más
Revista: Future Internet    Formato: Electrónico

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