BellBot - A Hotel Assistant System Using Mobile Robots

López, Joaquín; Pérez, Diego Gutiérrez; Zalama, Eduardo; Gómez-García-Bermejo, Jaime

doi:10.5772/54954

Cited by 43 publications

(24 citation statements)

References 22 publications

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“…The programming environment, named RoboGraph, allows the edition, execution, tracing, and maintenance of the PNs that implement the behaviors needed for different traffic scenarios. RG has been used before within the RIDE framework [44] for several multirobot applications, such as on the hotel assistant BellBot [55], the surveillance system WatchBot [56], and a tour guide system GuideBot [57]. For the work presented in this paper, the RG inter-process communication mechanism has been extended to communicate with ROS modules.…”

Section: Discussionmentioning

confidence: 99%

Implementing Autonomous Driving Behaviors Using a Message Driven Petri Net Framework

López

Sánchez-Vilariño

Sanz

et al. 2020

Sensors

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Most autonomous car control frameworks are based on a middleware layer with several independent modules that are connected by an inter-process communication mechanism. These modules implement basic actions and report events about their state by subscribing and publishing messages. Here, we propose an executive module that coordinates the activity of these modules. This executive module uses hierarchical interpreted binary Petri nets (PNs) to define the behavior expected from the car in different scenarios according to the traffic rules. The module commands actions by sending messages to other modules and evolves its internal state according to the events (messages) received. A programming environment named RoboGraph (RG) is introduced with this architecture. RG includes a graphical interface that allows the edition, execution, tracing, and maintenance of the PNs. For the execution, a dispatcher loads these PNs and executes the different behaviors. The RG monitor that shows the state of all the running nets has proven to be very useful for debugging and tracing purposes. The whole system has been applied to an autonomous car designed for elderly or disabled people.

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Section: Discussionmentioning

confidence: 99%

Implementing Autonomous Driving Behaviors Using a Message Driven Petri Net Framework

López

Sánchez-Vilariño

Sanz

et al. 2020

Sensors

Self Cite

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“…The elevator was located on the map, and the robot used its manipulators inside it. A similar work extended to multiple robots was proposed for the GuideBot tour guide [22] and BellBot hotel assistant [23] systems. The two systems made use of the elevators to navigate between floors.…”

Section: Tour Guide Robotsmentioning

confidence: 99%

Personal Guides: Heterogeneous Robots Sharing Personal Tours in Multi-Floor Environments

Rodriguez

Zabala

Marín-Reyes

et al. 2020

Sensors

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GidaBot is an application designed to setup and run a heterogeneous team of robots to act as tour guides in multi-floor buildings. Although the tours can go through several floors, the robots can only service a single floor, and thus, a guiding task may require collaboration among several robots. The designed system makes use of a robust inter-robot communication strategy to share goals and paths during the guiding tasks. Such tours work as personal services carried out by one or more robots. In this paper, a face re-identification/verification module based on state-of-the-art techniques is developed, evaluated offline, and integrated into GidaBot’s real daily activities, to avoid new visitors interfering with those attended. It is a complex problem because, as users are casual visitors, no long-term information is stored, and consequently, faces are unknown in the training step. Initially, re-identification and verification are evaluated offline considering different face detectors and computing distances in a face embedding representation. To fulfil the goal online, several face detectors are fused in parallel to avoid face alignment bias produced by face detectors under certain circumstances, and the decision is made based on a minimum distance criterion. This fused approach outperforms any individual method and highly improves the real system’s reliability, as the tests carried out using real robots at the Faculty of Informatics in San Sebastian show.

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“…These changes in different areas, causing impacts on the tourism system, also affect the hotel industry. The main developments aimed at hotels are automatic check-in, personalization, and individualization with an experience built together with guests and adapted to them, sustainability and technology (Kang et al, 2012;Yeoman, 2012;Lopez et al, 2013;Peiró-Signes et al, 2014;Neuhofer et al, 2015).…”

Section: Attributes Studiesmentioning

confidence: 99%

“…In this way, initially it has a general section about what type of hotels the consumer has most used in the previous two years, and what motivations have most often led to their stay. The second part relates to issues concerning the planning process (Gronflaten, 2009;Jun et al, 2010;Sparks and Browning, 2011;Toh et al, 2011;Vermeulen and Seegers, 2009;Xiang et al, 2014;Xiang and Gretzel, 2010), reservation (Crnojevac et al, 2010;Dolnicar and Otter, 2003;Lockyer, 2005;Murphy et al, 2016;Toh et al, 2011), satisfaction (Ananth et al, 1992;Atkinson, 1988;Chen, 2014;Chu and Choi, 2000;Dolnicar and Otter, 2003;Saleh and Ryan, 1992;Yavas and Babakus, 2003), recommendation (Lopes, 2015;Serra Cantallops and Salvi, 2014;Yen and Tang, 2015), and perspectives on what the consumer considers to be the future of hotels (Amadeus, 2010; Lopez et al, 2013;Yeoman, 2006Yeoman, , 2012. The questionnaire ends with a section related to the sociodemographic profile of the respondent.…”

Section: Data Collectionmentioning

confidence: 99%

Future Trends in the Hospitality Industry: An Analysis From the Consumers’ Point of View

Breda¹,

Pacheco²,

Dinis³

2019

Tourism in Southern and Eastern Europe

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Purpose -The tourism sector is influenced by many factors, which affect not only the tourism economy but also induce changes in tourists, transforming their behaviour. Hotel establishments, part of the tourism system, operate in an environment which suffers influences and is highly competitive. Due to this, it is important to have strategic planning that allows anticipating changes or threats, namely paying attention to consumers' needs and expectations. The goal of this study is to analyze consumer behaviour regarding Portuguese hotel establishments, identifying trends that are influencing the sector, from the demand perspective. Methodology -An online questionnaire was applied to guests of hotel establishments, with 305 valid answers. The questionnaire was developed in line with the decision-making process, by identifying the motivation, planning process, reservation, satisfaction, recommendation, and perspectives on the future of the hospitality industry. It also includes questions to draw the sociodemographic profile of the consumer. Univariate, bivariate and multivariate analysis of the collected data was performed through the SPSS software. Findings -Results suggest that the Internet is relevant for tourists to plan and book their stay, and the most significant attributes for their decision-making are service quality, price, and location. It was further concluded that technology and personalization are the areas that create more expectations in the consumers concerning the future of hotel establishments. Considering the characteristics of the new generations, namely the millennials, who have higher technology requirements, hotel managers should consider a greater integration of technology in their establishments in order to increase the quality of the guest experience and, consequently, their satisfaction. In addition, it is recommended that hotel establishments not only sell rooms but an experience, which should be more personalized and integrated with the local community. Contribution -The empirical study allowed obtaining a broad view on how consumers behave in the pre and post experience, as well as to know the attributes that they consider important for the choice of accommodation, and their satisfaction. This analysis allows managers to deepen their knowledge about their clients, better understanding how they plan and book their stay, as well as identifying the strengths and weaknesses of the accommodation, useful for understanding where they should allocate or withdraw resources.

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BellBot - A Hotel Assistant System Using Mobile Robots

Cited by 43 publications

References 22 publications

Implementing Autonomous Driving Behaviors Using a Message Driven Petri Net Framework

Implementing Autonomous Driving Behaviors Using a Message Driven Petri Net Framework

Personal Guides: Heterogeneous Robots Sharing Personal Tours in Multi-Floor Environments

Future Trends in the Hospitality Industry: An Analysis From the Consumers’ Point of View

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