scholarly journals How Socio-Technical Factors Can Undermine Expectations of Human-Robot Cooperation in Hospitals

2021 ◽  
Author(s):  
Kristina Tornbjerg ◽  
Anne Marie Kanstrup

This research analysed human–robot cooperation and interaction in the basement of a Danish hospital, where kitchen staff and porters conducted their daily routines in an environment shared with mobile service robots. The robots were installed to ease the everyday routines of kitchen staff and carry out physically demanding tasks, such as transporting heavy cargo between destinations in the hospital basement. The cooperation and interaction were studied through ethnographic inspired fieldwork and the results highlighted how robots affect the real-life environments into which they are gradually moving. The analysis revealed how the great human expectations of robots clashed with reality and identified three key elements that influence human–robot cooperation in hospitals: 1) environmental factors, 2) behavioural factors and 3) factors related to human reliance on robots. We emphasise the importance of considering socio-technical factors when deploying robots to cooperate with humans in hospital environments.

2021 ◽  
Author(s):  
Yiran Tian ◽  
Xingrun An ◽  
Xiaoqing Qiu ◽  
Xichen Xu ◽  
Sen Zhang

Author(s):  
Wojciech Dudek ◽  
Wojciech Szynkiewicz

A review of the known and an indication of the new threats for cyber-physical robotic systems, caused by cybernetic attacks, serves, in this paper, as a basis for the analysis of the known methods relied upon to detect and mitigate consequences of such attacks. A particular emphasis is placed on threats specific for cyber-physical systems, as they are a feature distinguishing these systems from their traditional Information and Communication Technologies (ICT) counterparts. Based on the review of literature and own analyses, unresolved issues regarding the cyber-security of robot systems are presented and discussed.


Author(s):  
Ali Gürcan Özkil ◽  
Thomas Howard

This paper presents a new and practical method for mapping and annotating indoor environments for mobile robot use. The method makes use of 2D occupancy grid maps for metric representation, and topology maps to indicate the connectivity of the ‘places-of-interests’ in the environment. Novel use of 2D visual tags allows encoding information physically at places-of-interest. Moreover, using physical characteristics of the visual tags (i.e. paper size) is exploited to recover relative poses of the tags in the environment using a simple camera. This method extends tag encoding to simultaneous localization and mapping in topology space, and fuses camera and robot pose estimations to build an automatically annotated global topo-metric map. It is developed as a framework for a hospital service robot and tested in a real hospital. Experiments show that the method is capable of producing globally consistent, automatically annotated hybrid metric-topological maps that is needed by mobile service robots.


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