ReFrESH: A self-adaptation framework to support fault tolerance in field mobile robots

Cui, Yanzhe; Voyles, Richard M.; Lane, Joshua T.; Mahoor, Mohammad H.

doi:10.1109/iros.2014.6942765

Cited by 9 publications

(11 citation statements)

References 15 publications

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“…16 http://www.searobotics.com/. 17 Originally considered as social interaction by [98], we believe that "verbal communication" and "acquisition" should be considered separately due to the variety and complexity of city scenarios.…”

Section: Agent Contextmentioning

confidence: 99%

“…High (22) 33.3% narios where the human presence is not necessary, such as driverless cars [3,25,40,51,61,110,112] and infrastructure maintenance [17,41,59,67,76,86,89]; on the contrary, a low to medium level of autonomy is observed when citizens are involved, both through public engagement [13,22,30,49,53,87,88,109] and personal assistance [10,39,45,69,83].…”

Section: 3%mentioning

confidence: 99%

“…Finally, Fig. 10 shows that, besides the ongoing efforts of openly sharing knowledge from different sources, very few works in RCI [5,17] have indeed explored the potential of open data to solve their problems.…”

Section: Information Contextmentioning

confidence: 99%

“…Figure 13 reports that few works have some form of robotgovernment interaction, typically in cases in which robots are employed by the public administration as a support for security or maintenance [16,[26][27][28]79,81,107]. Figure 14 shows that robots mainly acquire and process data from the city, while dissemination (being more timeconsuming) is less common [16,17,79,81,107], and mostly employed when teams of robots are involved.…”

Section: Interaction Contextmentioning

confidence: 99%

“…Enabling techniques in this case come from machine learning, ubiquitous computing, wireless sensor networks and motion planning. We find in this area works focusing on the data acquisition problem to improve autonomous planning and navigation of outdoor machineries [17,41,76,86,89], works for environmental recognition [42,48,59,67,75] and works aiming at optimizing cooperation and resource consumption [5,60].…”

Section: Urban Maintenancementioning

confidence: 99%

See 4 more Smart Citations

Robot–City Interaction: Mapping the Research Landscape—A Survey of the Interactions Between Robots and Modern Cities

Tiddi

Bastianelli²,

Daga

et al. 2019

Int J of Soc Robotics

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The goal of this work is to describe how robots interact with complex city environments, and to identify the main characteristics of an emerging field that we call Robot-City Interaction (RCI). Given the central role recently gained by modern cities as use cases for the deployment of advanced technologies, and the advancements achieved in the robotics field in recent years, we assume that there is an increasing interest both in integrating robots in urban ecosystems, and in studying how they can interact and benefit from each others. Therefore, our challenge becomes to verify the emergence of such area, to assess its current state and to identify the main characteristics, core themes and research challenges associated with it. This is achieved by reviewing a preliminary body of work contributing to this area, which we classify and analyze according to an analytical framework including a set of key dimensions for the area of RCI. Such review not only serves as a preliminary state-of-the-art in the area, but also allows us to identify the main characteristics of RCI and its research landscape.

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Section: Agent Contextmentioning

confidence: 99%